Machine Learning
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Teaching 3D Model of Iron Man to Fly Using Neural Networks and Reinforcement Learning An inventor has created an impressive simulation on a YouTube channel called "gonkee," where they teach a 3D model how to simulate flying using neural networks. The project began by importing a highly detailed 3D model of Iron Man into Blender software, which required reducing the number of triangles to reduce the load on the computer.… |
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Multi-Sensor Prototyping Platform for Wireless IoT and Embedded Machine Learning Nordic Semiconductor has announced the new multisensor prototyping platform ‘Nordic Thingy:53’ that comes with multiprotocol short-range wireless connectivity and support for embedded machine learning (ML). This product is the ideal platform for building advanced wireless proofs-of-concept and prototypes with ML capabilities on the shortest development… |
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Battery-powered AI/ML-based Smart Alarm System with Sensor Fusion and Acoustic Event Detection Infineon Technologies AG has announced its battery-powered Smart Alarm System (SAS) that achieves high accuracy and very low-power operation using sensor fusion based on artificial intelligence/machine learning (AI/ML). This technology combined with low-power wake-on acoustic event detection provides remarkable performance and the compact design… |
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New Inertial Module with embedded Intelligent Sensor Processing Unit Ideal for Machine-Learning Applications STMicroelectronics has introduced the new ISM330ISN always-on 6-axis inertial measurement unit (IMU) that is designed for movement and position sensing and uses its embedded intelligence to deliver unrivaled performance and accuracy for its size and power. Ideal for IoT and industrial applications, this new IMU sets to accelerate response… |
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Automotive 6-axis Inertial Measurement Unit with Embedded Machine Learning Core and Dual Operating Modes STMicroelectronics has announced the new ASM330LHHX inertial measurement unit (IMU) that moves smart driving another step closer to high levels of automation with its machine-learning (ML) core. The ML core enables fast real-time response and sophisticated functions with low system power demand. The automotive-qualified ASM330LHHX IMU houses a 3-axis… |
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Tomato Sorting Machine using Edge Impulse TinyML on Raspberry Pi Manually sorting items is one of the most exhausting and time-consuming tasks. Manual sorting, whether of fruits or veggies or anything else, takes a lot of manpower and time. So, in this tutorial, we have tried to build a tomato sorting machine that could distinguish between red and green tomatoes. This Raspberry Pi-based Tomato Sorting system uses TensorFlow modules… |
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Introduction to TinyML: What is it and Why does it matter? TinyML introduces Machine Learning to the scene by incorporating Artificial Intelligence into small hardware components. You’ll need some knowledge of machine learning and embedded software development to build a TinyML project. Neither of these abilities is common, and only a few people are proficient in both. So, to make you familiar with TinyML and its applications, we… |
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How to use Edge Impulse Signal based Model Training to train a Fever Detection Model AI has been a buzzword this entire decade. People have been applying the concepts of AI in all possible fields – Agriculture, Medical Imaging, Autonomous Driving, Biometrics, encryption, Data Analysis, FinTech, and what not. However, because it is a rapidly emerging field there is a lot of changing and upcoming technologies. Frameworks get old within months and libraries… |
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Push-Up Counter using Raspberry Pi and MediaPipe Human pose estimation technology is becoming increasingly popular due to the recent growth and popularity of Virtual and Augmented Reality. In our previous tutorial, we used Media pipe Hand Tracking module to control Raspberry Pi media player using hand gestures. In this project, we are going to use the MediaPipe Pose estimation package to build a push up counter. We will be… |
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New Machine Learning Algorithms for Self-driving Cars to Learn to Drive by Watching Other Cars The researchers claims that one hour of driving data was utilised for machine learning purposes, 92% of the vehicles arrived safely at their destinations devoid of any damage A Boston University researcher, Eshed Ohn-Bar is now trying hard to introduce innovative ways of self-driving cars to learn and identify the technologies of safe driving, which… |
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Digital coach can teach Table Tennis using Machine Learning and Artificial Intelligence For improving his Table Tennis game, an engineer, Samuel Alexander develops an AI-powered bat. To kill boredom during the Covid restrictions, Samuel and his flatmates acquired a complete Table Tennis setup for their apartment and in no time, got addicted to the game. But lack of prior experience and a passion to defeat his housemates led Samuel to… |
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Raspberry Pi Based Emotion Recognition using OpenCV, TensorFlow, and Keras In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the facial expression of a person from a real-time video stream. The “FER2013” dataset is used to train the model with the help of a VGG-like Convolutional Neural Network (CNN). … |
