An Automatic Wireless Water Pump Controller

Submitted by Avijit Das on Mon, 01/30/2023 - 15:31

After watching and experiencing turning off and on our household water pump manually, it was really hectic and frustrating. It happened many times when you stay alone at home and while using the bathroom, the overhead tank got emptied and you were hassled. Even the opposite happened when you turned on the pump and forgot to switch it off, causing heavy water and power wastage. This leads us to make a circuit that can automatically turn the pump off or on depending on the level of water. Meanwhile building the circuit we came across that the water level measurement happens to the overhead tank which is usually placed on the terrace of the apartments and the pump is located on the ground floor. Now the cost of the wire of that length is huge. So we thought of making it wireless, and that too using simple components that are very cheap and affordable. And you can build the whole system under $3 or $4. Check out our previously built electronic circuits to learn more.

Also check our previous water level monitoring projects:

What it does?

The circuit automatically turns on and off the pump that fills the tank by monitoring the level of water inside it. After reaching the upper threshold the pump turns off and after going below a lower threshold the pump turns on. The wireless control cuts the cost of wire that needs to be connected from the tank to the pump circuitry.

Component Required for Wireless Water Pump Controller

Wireless Water Pump Controller Components

Project Used Hardware

  • RF modules,
  • CD40xx CMOS digital Logic Family,
  • PCB

Project Used Software

  • EasyEda

Project Hardware/Software Selection

Wireless Water Pump Controller PCB Design

The hardware logic is purely built using Logic gates, more specifically just a bunch of NOR gates(universal it is). we used CD4001 quad Nor gates to develop our sequential logic and build the circuit. And since we are making the wireless, so we used simple RF modules to send the ON or OFF signals to the Water Pump. EasyEDA was used for designing the PCBs.

Wireless Water Pump Controller Circuit

Automatic Wireless Water Pump Controller Circuit Diagram

 

 

Wireless Water Pump Controller Circuit Diagram

The project contains two schematics. 1. The measurement and transmitting circuitry, that measures the water level, and transmits ON or OFF signal i.e a high or low. In the circuit, we have three wires that connects to the screw terminals as the measuring input, from there it gets fed to the sequential logic made by the NOR gates CD4001 which is used to trigger the when the water inside the tank is empty and stop when the water is full. This signal is now fed to a 433MHz RF transmitter that transmits the desired signal. 2. The receiving and driving circuit that receives the ON or OFF signal by the RF receiver and drives a relay which will turn the Motor ON or OFF.

How we built it?

The system consists of two circuits, one, measuring the level of the water, latching control, and transmitting the on-off signal. Two, receiving the on, off signal and driving the relay to turn on and off the pump. The measurement is done using naked wires acting as leads, placed at two different heights(upper threshold and lower threshold). Don't worry it is safe to use the naked wires since it is powered by LV +5v. The control circuitry contains a sequential logic circuit that was built according to the truth table modeled for the output whenever going high. Now the output is fed into a 433Mhz RF transmitter that sends the ON and OFF signal. The RF receiver receives the ON and OFF signal and turns the relay on and off accordingly. The relay will be responsible to turn ON and OFF the HVAC pump.

Advantages of using Varun 

Saves Power: Using a water level controller saves power. This is because water levels are controlled automatically, which limits the amount of electricity used. As a result, less water and power are used to regulate a water supply. In an age where energy conservation is of utmost importance, using one of these devices is very beneficial. -Cost-Effective: Since a water level controller conserves power, it saves money, as well. Basically, water regulation is optimized through these devices, which means that wasted electricity and wasted water are kept at a minimum. That saves a substantial amount of money over time. Also, the advantage of making it wireless is to reduce the cost of the wires that are required to connect the sensing end and the controlling end. -Works Automatically: It can work on its own. There is no need to operate them manually thanks to timer switches. This means that the frustrations involved with monitoring something like a water tank are minimized, and the water levels will be where they should be. -Sustainable Water Usage: Additionally, water usage can be maximized with a water level controller. Often, water pumps get more use during the middle of the day. A water level controller is helpful because it automatically provides more water during the middle of the day and less water at night. As a result, water remains at its appropriate level at all times. -Challenges we ran into The RF modules we bought were not perfectly tuned and were not responding correctly. So we got stuck there really badly for a long time. We figured it out later, that a small variable inductance is there by which the inductance can be changed and thus the frequency. Making the leads for measuring the level of water was a bit challenging as it required some amplification to turn the inputs high. We used two transistors here. -Accomplishments that we're proud of Tuning the RF transmitter and the receiver really got us a break. Modeling the control circuit using sequential digital logic, and implementing it using three NOR gates was great. And of course, the final step, where the circuit works like a charm.

What we will learn?

We learned to model real-time tautology to digital logic using a truth table and thus implement it with logic gates. We studied latches in semesters, but never thought why by using two nor gates in that configuration. This project helped us to know deep about it and got a good grasp of sequential logic. We also learned about RF communication between two cheap RF modules.

Reason behind the project name One of our team member's mothers suggested the name 'Varun' for this project because in Indian Hindu mythology, the name of the Water God is said to be 'Varun', and since our project deals with the flow and conservation of water, we found this name suitable for our project. Therefore 'Varun' is a project not only spreads and glorifies the notion of 'save water, save life', but also shows immense respect towards the said community's history.

What's next for Varun

Ordering a PCB for it and gathering components so that we can make it professionally and use it, in our apartments, to test further reliability. Using a solar cell to power the transmitter unit consumes very low power in the order of 2mA. With that being said we can use this circuit in agricultural fields for irrigation.

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Zeus: An AC to DC High Watt Power Supply Unit

Submitted by Deblina Chatto… on Wed, 01/18/2023 - 14:30

While making a customized RGB LED set up at our home, basically it was a bunch of addressable 5v LEDs the WS2812, but unfortunately, we didn't have a high current power source to light them up properly. Since there was a lot of them, it required around 9 Amps of current to lighten up at full brightness. This led us to design one Power Supply for this purpose, as well as the Gerbers are shared, so if one wants to make this power source they can do so easily. 

We have previously built many Power Supply Circuits, check them to learn more about Power Electronics.

What it does?

AC to DC High Watt Power Supply

It is a High Watt Power Supply Unit that converts 85V to 250V RMS AC to 5V DC rated at 60W which provides a current draw of 12 Amps, and that too in a small form factor, and isolated output with high efficiency.

Component Required for AC to DC High Watt Power Supply

Project Used Hardware

  • Bridge Rectifier,
  • Coupled Transformer,
  • CV CC UCC28740 flyback controller by TI,
  • UCC24630 Synchronous Rectifier Controller by TI,
  • Optocouplers,
  • Power Mosfets,
  • TL431 adjustable Zener,
  • Schottky Diodes,
  • Power Inductors,
  • Complementary Passive components

Project Used Software

  • EasyEDA, TI’s Webench Power Supply Design

Project Hardware Software Selection

First, we tinkered with TI’s Webench Power Supply Design and found some really decent designs, as a perfect match for our requirements. After a while, by getting a balanced result from all ways, i.e a small size, high current draw (12A) ample to source our LEDs, high efficiency; we started making the schematic in EasyEDA. Next, we designed the PCB and rechecked every connection thoroughly for any disputes. Obviously, we don't want to get ourselves zapped. Main Components Used: Bridge Rectifier Coupled Transformer CV CC UCC28740 flyback controller by TI UCC24630 Synchronous Rectifier Controller by TI Optocouplers Power Mosfets TL431 adjustable Zener Schottky Diodes Power Inductors Complementary Passive components Challenges we ran into Orienting the PCB Layout was a bit challenging, Along with that routing and connecting the components was a bit tricky.

Circuit Diagram

 

AC to DC High Watt Power Supply Unit Circuit Diagram

The circuit consists of the following stages: First, the rectifier converts the AC to pulsating DC and after that, it goes through a PI filter that smoothens the pulsating DC to stable DC, then this high voltage DC is chopped by the flyback controller and fed into a transformer that not only steps the voltage down but also provides galvanic isolation. An optocoupler constantly monitors the output voltage and provides feedback to the flyback controller and changes the pulse width for controlling the output voltage. The output is driven through a high power MOSFET with a decent amount of heatsinking capability that can drive high loads.

Accomplishments

Accomplishments that we're proud of: Making the PCB design and completing the project on time with video and presentation was our greatest achievement.

What we learned?

It was a good experience, about learning about the fly-back controller, which not only provides isolation but also has great efficiency. How SMPS has been so efficient and small yet delivering such high power.

What's next for Zeus

Later this week we are thinking of fabricating this PCB along with component sourcing, to make it real.

Warning- This Circuit deals with AC mains (aka High Voltage that can kill you). Take High precautions before performing. You have been warned.

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Our Personal Favourite Arduino Projects for you to Try in 2023

Submitted by Staff on Fri, 01/13/2023 - 11:47

Arduino is an open-source microcontroller platform that is widely used in DIY electronics and robotics projects. It is easy to use and has a huge community of users who share their projects and offer support to others. We made a lot of amazing projects with Arduino, ESPs, ARM, and Raspberry Pi in 2022.

Here is a list of the top 10 Arduino projects that you can build:

1. Animatronic Eye with Arduino

Animatronic Eye with Arduino

An animatronic eye is a mechanical device that is designed to mimic the movement and appearance of a real eye. The circuit we made is powered by Arduino, and can be used for a variety of applications including robotics, entertainment, and educational projects. They can be programmed to follow a specific set of instructions or can be controlled manually through the use of sensors and controls.  The List of components to build an animatronic eye is shown below.

Components Required to Build the 3D Printed Animatronic Eye

  • Six SG90 Servo Motor
  • Screws M2, M3, and M4
  • Arduino UNO
  • Jumper Cables
  • Breadboard
  • Pinheadder
  • PLA Filament and 3D Printer

For further information build instruction and code do check out the project  How to Build a 3D Printed Animatronic Eye with Arduino.

2. Arduino Based Resistor Reel Cutting Machine

Arduino Based Resistor Reel Cutting Machine

An Arduino based resistor reel cutting machine is a device that is used to cut resistor strips from a reel of resistor material. These resistor strips are used in a variety of electronic circuits and devices, and the process of cutting them from a reel can be time-consuming and prone to errors if done manually. An Arduino based resistor reel cutting machine automates this process, allowing for accurate and efficient cutting of the resistor strips.

Materials Required to Build a Resistor Reel Cutting Machine

Mechanical Components 

Electronic Components

  • Aluminum Extrusion Profile 20x40 6T Slot
  • Smooth Shaft Rod 8mm Diameter
  • Threaded Rod 8mm Diameter
  • Nema17 motor Coupling for 8mm soft shaft
  • Flanged Ball Bearing 8mm bore – 2pcs
  • Pillow Block Mount 8mm bore – 2pcs
  • Cast Corner Bracket for 2020 Aluminum Extrusion – 4pcs
  • Sliding T nut for 2020 Aluminum Extrusion – 20 pcs
  • M4 6mm Socket Screws for T nut – 20 pcs
  • Timing Belt for pulley.
  • Nema17 Stepper Motor
  • MG90S Servo Motor with Metal Gear
  • Arduino Nano
  • 16x2 LCD Screen
  • A4988 Stepper Motor Driver module
  • MOC7811 opto-coupler sensor
  • 12V 2A DC adapter
  • Push buttons
  • 50V 100uf electrolytic capacitor
  • Connecting Wires and perf board

For further information build instruction and code do check out the project Arduino Based Resistor Reel Cutting Machine.

3. DIY Arduino Bluetooth Car Controlled by Mobile Application

Arduino Bluetooth Car

An Arduino Bluetooth car controlled by a mobile application is a fun and interactive project that allows you to control a small car using your smartphone. This project requires some basic knowledge of Arduino programming and the ability to connect an Arduino board to a Bluetooth module.

Components & Tools Required to Build Wireless Arduino Bluetooth Robot

  • Arduino UNO *1
  • HC05 Module *1
  • L298N Motor driver *1
  • NeoPixel LED x as required
  • Lithium ion 18650 battery with protection circuit *1
  • BO Motors with wheels  *4
  • Perf board big *1
  • Perfboard small *1
  • Toggle switch *1
  • DC female jack *1
  • Relimate connector pair *1
  • Male bergstrip *1
  • Female Bergstip *2
  • Single Strand Wires of various colors * as required
  • Sunboard of medium thickness * as required
  • Paper Cutter, Hot Glue, Feviquick, Ruler, Marker, Wirecutter, Screwdriver

For further information build instruction and code do check out the project DIY Arduino Bluetooth Car Controlled by Mobile Application.

4. POV Display with WS2812B Neopixel LEDs

POV Display with WS2812B Nonpixel LEDs

A Point of View (POV) display is a type of display that shows a message or image that appears to be floating in midair. It can be created using an Arduino and some simple electronics. In this tutorial, we have built a POV Display with WS2812B LEDs.

Components Required to Build Arduino Based POV Display

  • ESP8266 - 01
  • WS2812B RGB LEDS
  • 3.7V 400mA Lithium Battery
  • 12V DC Motor
  • Perfboard
  • Wires
  • Connectors
  • Two Component Adhesive
  • And a 12V battery (to supply the motor)

For further information build instruction and code do check out the project How not to Build a POV Display Using WS2812B Neopixel LEDs and ESP8266 .

5. IoT Based Compact Soil Moisture Monitoring Device

Soil Moisture Monitoring Device

An IoT (Internet of Things) based compact soil moisture monitoring device is a device that is designed to measure the moisture content of soil using sensors, and transmit the data to a remote location using an IoT network. These devices are often used in agriculture to help farmers optimize irrigation schedules, and in landscaping to help maintain optimal moisture levels in plants. Some compact soil moisture monitoring devices may also have additional features such as temperature and pH sensors, which can provide additional information about the soil conditions.

Components Required to Build Arduino Based POV Display

  • ESP8266 - 01
  • WS2812B RGB LEDS
  • 3.7V 400mA Lithium Battery
  • 12V DC Motor
  • Perfboard
  • Wires
  • Connectors
  • Two Component Adhesive
  • And a 12V battery (to supply the motor)

For further information build instruction and code do check out the project Low Power IoT Based Compact Soil Moisture Monitoring Device.

6. Motorized Camera Slider using Arduino

Motorized Camera Slider using Arduino

A motorized camera slider is a device that allows a camera to be moved horizontally along a track, often for the purpose of capturing smooth, panning shots. A motorized camera slider using Arduino is one that is controlled using an Arduino microcontroller, which is a small computer that can be programmed to control various electronic devices.

Components Required to Build Arduino Camera Slider

  • Arduino Nano – 1
  • Motor Driver (A4988/DRV8825/ TMC2209) – 2
  • OLED display 128x64 – 1
  • Rotary encoder module HW-040 - 1
  • NEMA N17 Stepper motor – 2
  • Limit Switch 3 Pin SPDT – 2
  • On /Off Switch – 1
  • DC socket 5521 - 1
  • Aluminum Profile 2040 V slot – 50cm
  • M5 Aluminium spacer 5mm bore 6mm length – 3
  • Full component list available on circuit digest website.

For further information build instructions and code do check out the project  DIY Motorized Camera Slider using Arduino and Stepper Motors for Video Shooting.

7. DIY Handheld Retro Gaming Console using ESP32

DIY Handheld Retro Gaming Console using ESP32

A handheld retro gaming console using an ESP32 is a device that allows you to play classic video games on the go. The ESP32 is a microcontroller with WiFi and Bluetooth capabilities, making it well-suited for building wireless, portable devices.

Components Required to build Handheld  Retro Gaming Console

  • ESP32 Wrover Kit with 16MB flash – 1
  • Waveshare 2” 320x240 IPS display module with ST7789V driver – 1
  • TP4056 module with protection – 1
  • AO3401 SMD P-Channel MOSFET – 1
  • SD Card Slot – 1
  • SMD Slide switch 1P2T – 1
  • 3.5mm Audio Jack SMD PJ-327-A -1
  • 3.7V Lipo battery – 1
  • 2Pin JST XH battery connector – 1
  • 6x6x6xmm tactile switches – 10
  • 3mm LED – 1
  • 3.3v Active buzzer – 1
  • 100k Resistor – 2
  • 10k Resistor – 7
  • 1k Resistor – 1

For further information build instructions and code do check out the project DIY Handheld Retro Gaming Console using ESP32.

8. Touch Capacitive Based PCB Light Panel

Touch Capacitive Based PCB Light Panel

In this tutorial we have built a Touch Capacitive PCB using an ATMega328P IC to control the neo pixel led strip. We will include some features such as music reactive mode, random animation mode, and RGB controlling mode on our PCB.

Components Required to build the Front Panel PCB

  • ATMega328P IC (DIP Package)
  • SMD Resistors (1 Mega Ohm, 0805) X 9
  • SMD Resistors (1K, 0805)x1
  • Piezoelectric Buzzer
  • SMD 78M05 IC
  • SMD Electrolytic Capacitor (10uF,16V,4x45mm) x 2
  • SMD Capacitor ( 22pF 0805) x 11
  • Crystal Oscillator (16 MHz)

For further information build instruction and code do check out the project  Design and Build a Touch Capacitive Based PCB Light Panel to Control NeoPixel LED Strip.

9. Power Consumption Monitoring Device using ESP32

Power Consumption Monitoring Device

A power consumption monitoring device using an ESP32 is a device that measures the power consumption of an electrical appliance or system, and transmits the data to a remote location using an ESP32 microcontroller with WiFi and Bluetooth capabilities.

Components Required to build Smart Power Consumption Meter

  • ESP32 WROOM 32D Module
  • HI LINK 5V 3W SMPS
  • 0.96” 128X64 I2C LED
  • ZMPT101B Voltage Sensor
  • ACS712 Current Sensor
  • 220V AC 3 Pin Socket MALE
  • 220V AC 3 Pin Socket FEMALE
  • 3D Printed Casing

For further information build instruction and code do check out the project  Power Consumption Monitoring Device.

10. DIY Ultrasonic Mist Maker using ESP8266 and Arduino

DIY Ultrasonic Mist Maker

An ultrasonic mist maker using an ESP8266 is a device that uses high-frequency sound waves to create a fine mist, and is controlled using an ESP8266 microcontroller with WiFi and Bluetooth capabilities. This type of device is often used to add moisture to the air, for example in a greenhouse or to increase humidity in a room.

Components Required to Build Arduino Based Mist Maker

  • ESP8266 - ESP01 Module
  • USB To TTL Converter Module
  • Ultrasonic Humidifier Module
  • WSB2812 IC. 5 Units.
  • TP4056 Module
  • 3.7V 700mAh Li-Po Battery
  • LDR
  • IRF540N MOSFET

For further information build instruction and code do check out the project  DIY Ultrasonic Mist Maker.

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To Build Consumer Grade Electronics, we need to think in terms of the Consumers

Shanmugavadivel S, founder of IcOnt Technologies and co-founder of Tohands is an electronics  enthusiast. He is always open to making his hands dirty with soldering and his hobby is working with electronics. Whenever he finds time, he will do some experiments with electronics that sometimes he too doesn't know what he is doing. Recently, he has unveiled the first of its kind Made-in-India Smart Calculator, which he thinks is the backbone of small businesses.

AI Can Code Now: What That Means for Tech Jobs

Submitted by Staff on Mon, 01/02/2023 - 13:06

Although software is supposedly “eating the world,” it is heavily restricted in doing so by access to development talent and the increasing number of tasks required to build software. The number of jobs requiring software developers is increasing at a rate that vastly outpaces the number of skilled professionals entering the market to fill those roles. Even for those already in a programmer role, most of their time is not necessarily spent coding new features but rather writing tests, patching security issues, reviewing code, and fixing bugs. These two factors make it even more important to boost the productivity of those in the workforce, and the most recent improvements in AI-driven natural language processing (NLP) models are making that a reality. By virtue of their size, underlying architecture, and training data and regime, the newest generation of state-of-the-art NLP models—called generative pre-trained transformers (GPTs)—can translate between many languages, including from text to code. Embedding this powerful ability into tools that developers can use is already proving invaluable at making developers better at their jobs and unlocking software production for less technical folks.

Software Struggles to Eat the World

Along with the explosion of software for all sorts of use cases and business applications in the past decade plus, an equivalent has emerged for the number of jobs that require coding experience to build that software. A survey by Code.org in 2017 showed an estimated 500,000 open programming roles available in the United States alone, but unfortunately, many go unfilled, especially since only 43,000 computer science graduates enter the market every year, a figure that has decreased in recent years. On top of that, the time usually taken to become skilled enough to take those jobs ranges from 3 to 5 years; by the time a programmer is ready to enter a more senior role, the number of available roles will have increased by 28% (U.S. Bureau of Labor Statistics). As such, the bottleneck of talent stymies many companies’ attempts to build impactful software.

Once a team of developers is in place within a company, the challenges don’t stop. Requirements for building software, particularly in terms of quality, security, and speed of delivery, are increasingly complex. Surprisingly, developers will spend only about 30%–40% of their time developing new features or improving existing code (Newstack). This is because a large portion of their work also includes writing tests, making fixes, and solving security issues. Senior developers will also spend a portion of their time mentoring the juniors on their team and performing code reviews. All of these elements combined can impact delivery speed and cost-effectiveness of a software project. It also provides the perfect opportunity to pair AI with human developers to help address a lot of these drawbacks.

AI + Developers = Pair Programming Dream Team

AI-driven Coder Tools

With the strides that deep learning–based NLP has made in the past couple of years, a number of tools have emerged with AI at their core, designed to improve the productivity and code quality of developers. In particular, the models that these tools use can parse code to identify bugs and flaws, effectively performing some of the more tedious parts of a code review. A few such tools released recently, like CodeGuru and DeepCode, were able to find vulnerabilities that were difficult for humans to identify as well as find that 50% of the pull requests studied had issues (AI-News).

AI-driven Coder Tools

Additionally, modern NLP techniques improve developers' code quality and speed up development by helping auto-complete sections of code, monitor their code output for errors, and even auto-generate unit tests. OpenAI’s Codex algorithm, which was incorporated into GitHub’s Copilot, can do this with astounding accuracy, even going so far as to generate code from human language input (Figure 1). Its ability to do this comes from the data it was trained with, both natural language fragments and a vast amount of code. A preliminary study from GitHub on its performance showed that for a mundane task like writing an HTTP server, leveraging AI alongside a developer reduced time to completion by half. The fact that the model underpinning this tool can auto-complete entire code sections from a single comment also makes coding vastly more accessible to beginners and less technical folks.

Coding Made More Accessible

The powerful AI translation capabilities of this new generation of NLP models means that, within some limits, anyone can use human language to produce snippets of code that they need. These pieces of software can be in any programming language as well, from those used to execute certain routines like Python, JavaScript, and C++ to those used to access data in various databases like SQL and NoSQL. Provided that the program a person would like to code is not overly complicated, tools like Codex can likely help. It has proven useful for making small websites, deriving excel functions, and converting what a user would like from human language to the query language used to access the data. However, as the researchers of these techniques note, the models are not totally correct all the time. Often, the code produced is mostly correct but requires some intervention from an experienced developer. In this sense, the models can boost the productivity of a human coding tutor in that they can take over where the AI runs into issues as it is being used by a less experienced person. This can also mean that junior developers’ productivity is greatly increased while their requirement for supervision and senior input is reduced.

From Human Language to Computer Language

So how do most of these tools work? The main workhorse powering these innovative tools is the GPT—typically the third generation of such models, called GPT-3. This architecture was initially developed by OpenAI and trained on a massive amount of text from across the internet, including prose, digital books, tweets, open-source repositories, comments, online articles, and more. Although the goal was always more realistic language generation, the side effect of the model also being able to generate code led to the later development of Codex.

Several factors separate GPT generations from previous deep learning–based NLP models. These include the amount of data used for training and the way in which the models were trained as well as the number of parameters the models have and their state-of-the-art underlying architecture. Since these models and their predecessors are neural networks, the number of parameters influences the complexity of relationships in data that they can capture, meaning that bigger models can learn more nuanced patterns than smaller models. These models were also trained in a multitask setting and in a self-supervised fashion. Most neural networks are made to perform a single task and as such take specifically-labeled data in order to learn how to do that task—a great example being AlphaGo, which is great at GO but cannot play chess. Requiring labeled data is called supervised learning. The GPT-3, by contrast, was trained to predict the next word in a sequence, so the data don’t need labeling; this is the backbone of many tasks like translation, text generation, and question answering.

From Human Language to Computer Language

Additionally, there are transformer models, which perform better than previous NLP benchmarks like long short-term memory models or recurrent neural networks. They process entire sentences at once instead of word by word, store and use similarity scores between words in a mechanism called “attention,” and encode information related to a specific position of a token in a sentence (Figure 2). All of this allows for a bigger model that can learn more since parallelization and recursion are no longer issues, as they were in the past. It also removes the difficulties previous models had with forgetting relationships between far-apart words and sentences. Since the GPT-3 is available through an application programming interface provided by OpenAI, it can be incorporated into other AI for coding products, which democratizes access to coding even further.

Conclusion

In order to continue building the vast amount of software needed to cover all the applications that require it, AI is stepping in to help boost the productivity of developers. Since the demand for programmers clearly outstrips the supply, leveraging other solutions to augment the output and code quality of coders companies already have is proving more and more beneficial. With the recent dramatic improvements in AI-based NLP models, such as the particularly powerful GPT-3, the dream of an AI-powered pair programmer for human developers is becoming a reality. With such models embedded in their everyday tools, programmers can stand to gain a lot in terms of reduced time spent on repetitive tasks like writing tests and improved code quality from automated reviews and auto-generated snippets. Even junior developers and less technical folks can benefit from the text-to-code capabilities now available. Software may not be able to eat the world alone, but AI can certainly help.

About the Author

 Becks is a fullstack AI lead at Rogo, a New York-based startup building a platform to allow anyone to analyze and gain insights from their own data without a background in data science. In her spare time, she also works with Whale Seeker, another startup using AI to detect whales so that industry and these gentle giants can coexist profitably. She has worked across the spectrum in deep learning and machine learning from investigating novel deep learning methods and applying research directly for solving real world problems to architecting pipelines and platforms to train and deploy AI models in the wild and advising startups on their AI and data strategies.

Original Source: Mouser

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Why Top-notch Secured Memory Chips are Essential for Video Surveillance Cameras?

For the past few years, video surveillance cameras have become an important part of our life whether in a business center or in our homes. Inside these cameras, the memory chip is a very important part of the technology that helps us to view what the cameras witnessed and recorded. The videos and the images that are captured sometimes prove to be very critical and hence, it is imperative to ensure that the images captured are crystal-clear. Moreover, the images and the videos captured are also used for the purpose of proving someone’s crime and these devices are subject to cyberattacks. Therefore, it is essential to have the cameras and the memory chips cutting-edge and secured. Various experts have now highlighted the importance of data security in the video surveillance domain, the importance of secured memory chips, and the key requirements to boost the sector. Nowadays, protecting communities, businesses, and homes from external threats has turned out to be an urgent need of the hour for many.  Hence, the Security Products Group in India wanted to undertake a study on the key security products which comprise CCTV Camera Systems, Recorders (DVR/NVR) & Access Control Systems. The aim is to target a 20-25% percent share of the global market of USD 60 Bn by 2025.

As there is so much dependence on the surveillance system, there can be a serious threat of data loss in case of system failure or some external hacking. Commercial and residential utilization of security cameras needs the recordings to be well-documented and completely secure so that information cannot be lost easily. The Feedback Advisory report recently mentioned that the global Surveillance & Access Control market size was ~USD 43 billion in 2021 and is projected to reach ~USD 66-67 billion by 2026, exhibiting a CAGR of 8.9% during the forecast period.

Indian Surveillance Industry Graphs and Charts

Source: Feedback Advisory

In order to boost the video surveillance sector in India, recently an MoU has been signed between Sahasra Group of Industries and Samriddhi Automation (Sparsh) where the former would manufacture top-notch secured memory chips for Sparsh’s video surveillance cameras, which are completely Made-in-India. Amrit Manwani, Managing Director at Sahasra Group of Industries said, “This is the first time when two Indian SMEs have come together to boost the Make-in-India initiative. We will design and manufacture both the chips and cameras completely in India. Apart from that, we are also looking forward to manufacturing the camera components in India through our semiconductor operation. This is how we can reduce our dependence on imported supply chains heavily. By the time both the phases of investments are completed, we will have a capacity of 18 million chips per year and out of that production, 20 percent will be given to Sparsh.

The industry association also stated that the security of data has turned out to be very important these days. The entire world is now facing this same problem and in the video surveillance domain, developed countries like the US and the UK are facing data security threats. The technologies they are having is not enough to identify where their data is moving and to which country. In fact, both the US and the UK had banned leading chinese companies from operating including the latest one is the ban of Huawei.

Highlighting the importance of data security, Sanjeev Sehgal, MD at Samriddhi Automation said that the current technologies are not enough to help the countries identify whether the data is moving out of their country or not. Hence, it is now important to manufacture the chips in India. Data has to go to the memory and therefore, the memory chips have to be fully secured. Nowadays, data needs to be stored in the memory for quite a long time and this is because the apex court of India has unleashed a new ruling that all police stations, jails, and investigation centers must be furnished with CCTV cameras where the videos have to be stored for at least eighteen months. 

Going further, experts of various industry associations such as ELCINA stated that the current value chain for the video surveillance market in India is crafted out of a variety of stakeholders who are playing a different role. The Domestic supply of CCTV Products has risen to 80% of the total supply in India in FY 2021-22 from 52% in 2017-18. And over the coming five years, the market is expected to grow at 15-17% CAGR.

Video Surveillance Industry Growth Graphs

Source: Feedback Advisory

Cdr Mukesh Saini (Retd.), VP- ExeStat, Senior Advisor- Cybersecurity & Privacy- Amtrak, Lab systems & iRisk Assurance said, “Nowadays, in every institution, 50 percent of the time is devoted to security aspects. Ten years back, it was very difficult to understand the problems and challenges of this domain. The memory chips and the hardware equipment associated with surveillance cameras has to be cutting-edge or else there will be a huge possibility of video leakage. But combining them with AI technology, it will be easy to identify where the data is moving and also tracking some critical person across the country, which is now becoming very sensitive. The CCTV footage has to be secured forensically. You need to walk on those fields, develop, so that the output that is put on the storage does not get spoiled. Even one pixel change is a big change because in that case, it could erase evidence completely. A reliable storage system for the CCTVs is necessary so that evidence can be taken to the court seamlessly.

Speaking of the challenges of the sector, experts stated that there is a lack of a clear component ecosystem and a proper definition of local content- value addition. Moreover, Makin in India needs to be competitive with the world, which they are not currently. Also, there is a lack of design led manufacturing in the country for such a critical security related product. In order to get rid of the challenges, ELCINA recommended that there should be identification of components required for the video surveillance systems and classify them accordingly. There are components available in India, but industries are facing problems. In that scenario, ELCINA recommended to act as an aggregator of the demand and get vendors of such components and conduct buyer and seller meetings.

Speaking further on security challenges associated with the sector, Samrendra Mohan Kumar, Founder & MD, MitKat Advisory told, “Cybersecurity damages in 2021 is already 6 trillion dollars and the physical and environmental security damages were all one tenth of this total. China targeted seven leading semiconductor vendors in Taiwan and their goal was to steal IPs, documents, source, and the software development kits. The attackers used open source general tools along with a rarely key skeleton technique. Due to this scenario, the VPNs of the vendor’s systems were compromised. The tools made adversaries login like normal users. There are only two types of systems; one who is compromised and knows they have been compromised and the other who have been compromised and they do not know about it.

For the components, which can be developed in the India category, many companies have already started the localization of products and have developed vendors for the products such as housing, cables, packaging products, screws, nuts etc. Now, speaking on the components that are not available in India, the Government needs to make special investment pitches to attract International firms to India with special policies for these components and they should work towards attracting a minimum of 2 Units in India in Lens and SOC Chipsets fabrication. Last but not the least, ELCINA requested that for SOC Chipsets, the Government of India could think of linking this to the India Semiconductor Policy and get these SOC Chipsets to be included as a ‘preferential products’ to be made in India with the ATMP/OSAT Projects. Unlike Finished Goods/EMS operations, component manufacturing has a very high “Investment to Turnover ratio” and needs a much longer gestation period for the payback. These special considerations need to be factored in these policies, suggested by ELCINA.

Experts also suggested that there should be efforts made to encourage all manufacturers to undertake a Design Led Manufacturing business in the country with the overall product design IP being developed and available in India.This could be definitely implemented in the volume business of B2C cameras/DVRs and NVRs and not for the high-end projects business cameras and NVRs. Also, it needs to be highlighted that PCB, firmware, silicon on the chipset, software, integration between cameras and storage server, everything should be fully developed in India. The industry leaders also urged for R&D centers to be available in India, only then Made in India certification must be provided.

Now, it is very important to invite the global investors to come and invest in the Indian business ecosystem. But, at the same time, there are instances of long-standing Indian companies who have been investing in this business who need to be treated on par and not ignored in some policy initiatives. For example, linking investment as an eligibility criterion in the PLI scheme could be done away with firms who have already invested in the past and the investment needs to be recognized. In order to address the lack of information on vendors for the CCTV products industry, there was a request for the government to come up with a component portal that could be updated on a real time basis for all firms setting up components units in India and as soon as the unit is operational the details of such firms are updated on a real time basis

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Simple DIY FM Receiver Circuits on the Internet - Do they Really Work?

Recently we thought of building a simple FM receiver circuit, so like always we started googling for possible circuits that can be used to fulfill our requirements, and as expected we found a lot of circuits on the internet, but the question remains how good or useful will they be when we put those circuits to the test. Because just like us we found a lot of people trying to get these circuits to work but fail, and a lot of discussion forums are filled with questions "Do these simple DIY FM Receiver circuits really work?"

So in this tutorial, we did just that by building a few circuits on a piece of perf board and testing each circuit to see their working and what can be done to improve this, and in the end, we will let you know all the details. 

Now if you want to save time, you can straight away buy the RDA5807 FM receiver module and use it for your project, we have already built a  Voice Controlled FM Radio using Arduino and Google Assistant and Arduino Based FM Radio using RDA5807. You can check those projects out if you want to learn more about those projects or you can check the simple FM transmitter circuit built using basic electronic components like transistors, capacitors, coil etc.

The Two Transistor FM Radio or the Direct (TRF) FM Receiver

Most of the circuits we have found on the internet have one thing in common, and that is they all have a two-transistor configuration. And for our first circuit, we tried something similar.

FM Receiver Circuit Diagram

Not only it receives the FM signal it also amplifies the received signal with the help of an lm386 OP-Amp IC to drive a speaker. This is by far one of the most complicated circuits made with very few components. The transistors BF495(T2) with Inductor L. Capacitor VC, and along with T1 makes the construction for the Colpitts oscillator.

In this circuit, the trimmer VC sets the resonance frequency of the circuit. By adjusting the variable capacitor the resonance frequency changes and we can tune the circuit anywhere between 88 and 108MHz. The message signal that is received through the circuit is extracted through the resistor R1 and then it is fed to the audio amplifier over a 220nF coupling capacitor (C1). This circuit is so designed that you can tune the radio receiver with the help of the Variable Capacitor. The value of the variable capacitor is adjusted to 20pF because variable capacitors with this value are readily available.

The coil used in the circuit is a simple air core inductor made with 4 turns of 22 SWG copper wire with the core having a 4mm internal diameter. When the required number of turns is reached the coil is cylindrical. The coil can be taken so that the high frequency signal can be reached by the receiver. Finally, the capacitors C3 (100nF) and C10 (100µF, 25V), together with R3 (1k), comprise a band-pass filter for very low frequencies, which is used to separate the low-frequency signal from the high-frequency signal in the receiver.

FM Radio Receiver with 2N3904 Transistors

Next, this is another FM radio receiver circuit that has a two-transistor configuration. But like the previous circuit, this circuit uses two 2N3904 general-purpose transistors to generate the resonance frequency

FM Receiver Circuit Diagram

While testing the above circuit we have observed that this circuit works best between 3.3 to 3.5 Volt range. The working of this circuit is very simple, the resonance frequency of the circuit is generated by the L1 and C1 in the circuit, LC together is called a tank circuit that is able to produce high frequency oscillation that is required to generate FM signal, when the capacitor gets fully charged then it dumps it to the inductor, the inductor charges up and builds up its magnetic field when the magnetic field collapses the energy gets back to the capacitor and the process repeats infinitely the resonance frequency of the circuit can be easily found out by using a simple formula. In the next section, we will be looking at that 

Building an Inductor and Calculating the inductance

The most important part of any FM radio circuit board is the inductor and in this section, we will learn how to build an inductor. If you look at the first circuit, it says it's 4 turns in a 4mm diameter air core with 22 AWG copper wire. Once we have built the inductor we can use the formula shown below to calculate the inductance.

L= (d^2 * n^2)/(18d+40l)

Where,

L=  is inductance in microHenries (µH)

d= coil diameter in inches

l= is coil length in inches

N = Number of turns

Now as we know the formula, we need to measure the diameter of the coil to calculate the inductance. If you look at the first schematic you can see that the instruction to make the inductor is given. Its 4 turns of 22 SWG wire with a 4mm diameter air core. For the 4mm diameter, we are using a refill from a gel pen. As you can see from the image below the refill from the pen is exactly 4mm.

calculating inductor inductance

Now once we have the 4mm diameter cylindrical, we will wrap our 22 SWG wire around the pen refill and make the inductor. Once the inductor was made it looks like the image shown below,

calculating coil inductor inductance

Now we will measure the length and the diameter of the coil and as you can see from the image above we have a coil diameter of 6mm and the length of the coil is 3.2mm. With this, we have all the parameters to calculate the inductance of the coil.  Now if we calculate the inductance by using the formula given we can calculate the value is

L = 0.0961 uH

You can do the calculation by putting the values in the calculator or you can use the Air Core Inductor Coil Inductance Calculator website to calculate the inductance which makes the process so much easier.

Testing FM Radio Receiver Circuit Board

As you can see from the above two schematics we have found two promising circuits on the internet and we tried to test both circuits, the circuit made with BF494 transistors performed somewhat better than the circuit made with 2N3904 transistors. You can also see that we have made the two circuits in two different places because we don't want to add in noise from any other components.

FM Radio Receiver Circuit Board

As you can see the test setup shown in the above image where we are powering the circuit with a 12V battery. Once the circuit was powered on we turned the variable capacitor to try to tune the circuit to capture local FM radio stations, but the circuit wasn't able to pick up anything.

After checking and trying to figure out what the problem was we used a Raspberry PI to build a FM transmitter and check to see if the circuit was working or not. And to our surprise, the circuit worked but the audio was not audible and the sound. 

In conclusion, we can say that it's absolutely not worth it to waste time on building and testing this kind of simple FM radio receiver circuit because it's not made to be used for day to day application. And it's recommended to use a proper IC based FM radio receiver module if you intend to use this for day to day application. If you are looking for some FM Radio Receiver IC Then the RDA5807 or TEA5767 are some of the ICs which are easily available in the market and you can make simple FM receiver circuit with easily available parts and schematics.

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"India is the under-rated manufacturing hub of the world with more than 50,000 suppliers capable of catering to the automotive industry alone" - Dheeraj Tiwari, Co-founder and CEO of CapGrid

During the first half of 2020, when the pandemic was creating mayhem throughout the world, the automotive industry faced the worst challenges whose production was halted to a larger extent. The industry was the residue of several disruptions such as electric mobility, and ridesharing, and also deprived of its financial growth. The increasing competition in this sector mostly in manufacturing has paved the way to overcapacity, which is now viewed as one of the serious challenges by the experts.

3 Innovative Wearable Device Types That Are Improving Consumer Health

As consumers consider lifestyle changes following the COVID-19 outbreak, they have prioritized monitoring and augmenting their health to pursue a healthier lifestyle. As a result, the wearable healthcare devices market is growing significantly, from an expected USD 27.29 billion by 2022 to an anticipated USD 324.65 billion by 20321. Improved reliability and speed of 5G and higher networks, coupled with the development of new technology, are driving this growth.

Staff Mon, 12/05/2022 - 16:53

India must not go by the Volume of Defense and Homeland Security Products, but by Quality; Defines Experts

Of late, a report of a well-known media stated that India's Electronic Security Market was valued at USD 1.32 billion in 2021 and is expected to reach USD 4.90 billion by 2027, at a CAGR of 24.37 percent over the forecast period. The homeland and defense security sector has tremendous potential and since then the growth of security products has changed and now, the country has several manufacturers from the security electronics domain. The security products industry is growing rapidly and is estimated to escalate by 22 percent per annum, which will sustain by 2025 and beyond.

India is emerging as a global power and security is emerging as a priority. We need to ensure India must grow by itself and must be a source of prosperity for the rest of the world. The size of the global security electronics market is intense and valued at US $41 billion in 2020 and is expected to reach US $68 billion by 2026 at a CAGR of 9 percent from 2021-2026. Experts claim that the country must target a 20-25 percent share of this global market in the next five years because it has a potential of US $15bn. India’s CCTV market is expected to grow at a CAGR of 22 percent from 2021-2026. Overall, the video surveillance market in India is estimated between Rs 11,000 crores of which 50 percent are CCTV cameras. India now needs to stay alert and on top of emerging technologies to counter successfully.

Strategically, the defense sector of the country is very imperative and the overall budget approved by the government for the Indian armed forces for the FY 2019 was 60.9 billion whereas, for the FY 2020-21, the expense was sanctioned US$65.86 Billion, which is just an escalation of 7 percent. The nation is now opting for higher indigenization defense hardware as the country still imports 70 percent of its top-notch hardware like missiles, aircraft, submarines, and ships mostly from the US, Russia, Japan, and Israel. In the defense security market, India is currently in a much better position because there is a huge market that is opening up for the country in defense equipment manufacturing. Earlier, India was mostly an importer, but now the government is promoting manufacturing in the country and now, a lot of global players like Tata, L&T, Hanwha Group, etc are investing in India. Anil Mehra, Senior VP, Matrix Cosmec opined that if we leave out the top eight countries or the major European nations, others are also looking forward to perk-up their defense manufacturing ecosystem and they all import their defense equipment. So, India could be a good source for most countries for any kind of defense equipment and ammunition.

Defence Manufacturing Industry Forecast

Mehra said, “Coming to homeland security, there are a lot of opportunities that exist in India. This market is approximately Rs 15,000 crores and they are mostly dominated by MNCs. Though there are some companies who claim to be making Make in India products, they are screwdriver companies because they are just assembling and claiming to be Make in India. This is where compliance needs to be enhanced when the government makes those purchases. They have to really verify what is true Make in India and who has got the infrastructure. Video surveillance is about an Rs 8-10000 crore market. Even if I exclude the IT components; the market for cameras and software is still about Rs 6000 crores. The opportunity can be realized only if we have backward integration like a strong component manufacturing in the country.

Mehra further highlighted the key challenges of the sector which is how India can become self-reliant for all security products. Another major hindrance is the availability of components at the right cost. Then, there is a compliance load on the SMEs like GST are very complex, which needs to be streamlined. The industry must interface with the government and understand the needs of each other. Another big challenge is the education system or the talent pool of the country because nowadays people opting for electronics and telecommunication are missing. Some of the colleges have stopped offering this course and moved towards software. India wants to focus on manufacturing and become self-reliant on that and if the talent is not available in the country then it's a very big challenge the nation is going to see in the next few years.

Amid the challenges and a couple of intricacies, experts also showcased a bigger positive picture of the sector. Currently, the government is carefully looking to address all the impediments related to defense and homeland security. According to Sanjeev Sehgal, managing director, Samriddhi Automations, the major concern of the government officials who visited during the IISE expo was how they can make the security infrastructures of the citizens more secure backed by Artificial Intelligence and other top-notch software features. He said, “The major requirement is now providing customized solutions for every customer because they are not getting the desired ROI out of it and hence they are getting dissatisfied. First, we have to understand the challenges of the customer and then come up with exact solutions for what they are looking for.

In the coming 5-10 years, the homeland security market will grow at a CAGR of 15-20 percent. Since India is known for offering top-notch software features, they are going to play a major role in the hardware equipment. Hence, I can assure that solutions appearing from Indian companies will be in much more demand globally, which will help us in giving tough competition to our neighboring countries and also to the US and Europe. There will be a complete integration of both hardware and software in the coming year,” added Sehgal.

India Homeland Security Market Overview

According to a report by media shared from the Ministry of Defense, the country has now recorded the highest ever export of defense products worth Rs Rs 12,815 crore in the FY 2021-22 and Rs 1,387 Core for the quarter April-June 2022. It is an escalation of 54.1 percent compared to the preceding year. According to Minister of State for Defense Ajay Bhatt, the nation's defense exports were worth Rs 8,434 crore in 2020-21, Rs 9,115 crore in 2019-20, and Rs 2,059 crore in 2015-16. The concerned ministry has now undertaken numerous policy initiatives in the past couple of years to whip up state-of-the-art manufacturing, development, and design of defense equipment, which will ultimately promote self-reliance in defense technology and manufacturing in the nation. India has a quest for a defense export target of USD 5 billion in the coming few years. There is a wide range of initiatives such as the prime concern for the acquisition of capital items from domestic sources under Defense Acquisition Procedure (DAP)-2020, the proclamation of 18 key defense podiums for industry-led development and design, and allowing of FDI of 74 percent investment under the automatic route. The imperative strategic defense products comprising Unmanned Aerial Vehicles, Light tanks, and helicopters are included in the indigenous list for which there would be an official ban on the import beyond the schedules indicated against them.

The security industry encompasses a whole lot of issues. India is now well-equipped for the envisaged threats it has. As far as the threat perceptions are concerned India has adequate defense equipment and is in a very comfortable situation, but more innovation and quality assurance are needed, feel experts. Now, what needs to be done is we need to focus on strengthening our defense and security forces using the latest technology which is available because this is not just related to the volume of the defense products, but the quality that matters.

Justifying the requirement of quality checks and assurance, Air Vice Marshal Arvind Verma, Adviser-Aviation, Zen Technologies Ltd said, “The numbers have to be backed by the capability of each system you have. For example, 15-20 years back the number of soldiers China had or aircraft they had was huge but their combat potential was not good. We have always focussed on getting quality products in general. Therefore, when I say adequate capabilities, it does not mean volume, but they must have the potential to meet the challenges. We also require various equipment and technologies to be replaced urgently.

Verma further added, “There is a requirement for Hindustan Aeronautics Limited (HAL) to improve its production capabilities, which are now quite low. They need to enhance and bring our inventory to a level that end-users feel comfortable with. Homeland security is also in the same line. There is also a need for huge intelligence networks, which need to be cohesive so that every piece of information is available. It will then help to take the required action on time. The major challenge is providing the right equipment to the forces and the quality and quantity must be matched.

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