Edge Impulse
|
Semtech Expands LoRa Plus Family: LR2022 and LR2012 Now in Production CAMARILLO, Calif. Aug 19- Semtech Corporation (Nasdaq: SMTC), a leading provider of high-performance semiconductors powering AI data center networking and intelligent, connected Internet of Things (“IoT”) devices worldwide, today announced the expansion of its LoRa Plus family with the introduction of the LR2022 and LR2012 transceivers, both now available in… |
|
Automatic Waste Segregation System Using Arduino UNO Q Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix food scraps, plastic, paper, and batteries in the same bin, recycling becomes hard, landfills fill up quickly, and harmful chemicals leak into the soil and water. Over time, this creates bigger problems like higher cleanup costs and more damage… |
|
ESP32-CAM Currency Recognition System using Edge Impulse Ever wondered if a small, low-cost board like the ESP32-CAM can actually recognise objects or even identify Indian currency notes? In this project, the answer is a clear yes. We combine the ESP32-CAM with the powerful Edge Impulse platform to build a system capable of object detection and image classification right at the edge. By using the Edge Impulse at every step… |
|
An Embedded AI Project Aimed at Easing Night-Time Baby Feeding Late-night infant care often leaves little room for precise or repeatable routines, which makes even simple tasks feel demanding. Addressing this reality, Manivannan has created a DIY edge-AI system that automatically starts a bottle preparation machine when a baby’s cry is detected. The project, shared through his YouTube channel MakeTinyML, focuses on augmenting an existing appliance rather… |
|
ESP32 Offline Voice Recognition Using Edge Impulse Voice recognition is becoming an essential part of the Internet of Things (IoT), allowing us to control, monitor, and interact with devices hands-free. At its core, ESP32 speech to text works by capturing audio through a microphone, processing it, and converting it into text that devices can understand. This text is then used to trigger commands, just like how… |
|
Qualcomm to Unify Edge AI Stack with Arduino Acquisition Qualcomm has announced an acquisition agreement with Arduino to equip developers with edge capabilities, pending regulatory approval. This is not an isolated move, given the company’s acquisition of Foundries.io and Edge Impulse. It’s a consolidation of multiple developer platforms under a single ecosystem that combines AI model development, OS infrastructure, and now the hardware base. … |
|
Using Thermal Cameras for Gesture Recognition with AI Thermal imaging is commonly used in industries like security and diagnostics, but it also has applications in computer vision. Unlike regular cameras, thermal cameras detect heat, making them useful in low-light conditions. In our past projects, we explored thermal camera applications and worked on computer vision projects like license plate recognition and face recognition. However,… |
|
ESP32-CAM Face Recognition using Edge Impulse Face recognition is becoming increasingly popular these days. There are numerous project ideas available that we can implement using the face recognition concept, and we at CircuitDigest have already built many ESP32-CAM projects, including an attendance system and a door lock security system using ESP32-CAM. However, face recognition… |
|
Object Detection using ESP32-CAM and Edge Impulse In this project, we have used the popular ESP32-CAM module to build an Image recognition system that can identify various vegetables. We have used the Edge Impulse platform to train our model and deployed it on the ESP32cam module, the results of the model are displayed on the OLED screen as output. In this tutorial we will understand the basics of edge computing and… |
|
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… |
|
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… |
|
Object Classification using Edge Impulse TinyML on Raspberry Pi Edge Impulse Studio is a machine learning platform that enables developers to generate Machine Learning trained models in the cloud and deploy them on microcontrollers (e.g. Arduino and STM32), or single-board computers like the Raspberry Pi. Initially, Edge impulse didn’t support the Raspberry Pi but on April 2021 Edge Impulse announced their full support with Raspberry Pi… |
