This kit's combination of powerful machine learning accelerator and stereo vision cameras makes novel applications possible
Create a wheeled robot based on Visual SLAM technology powered by Radxa X4 N100 Board, Realsense D435i camera, Intel Robotics SDK software.
The device runs an ML model to detect smoke and fire in the wild. It uses LoRaWAN for long-range and low-power communications.
Develop human posture analysis functionality based on images, and use this to detect if a human is falling down in real-time.
Train a domain-specific image to keywords model that is 200x lighter (9MB) and runs with low latency on hardware such as Raspberry Pi 4.
This project compares inferencing MobileNet and EfficientNet-Lite on the MaaXBoard vs Coral dev board and Raspberry Pi.
CamThink smart camera + Home Assistant use Edge AI to detect drinks and trigger refills automatically.
Using the new Useful Sensors face detection sensor and the Notecard Carrier F, manage your fleet with location status along with driver ID.
Mount a camera in an industrial or manufacturing location to detect worker falls with computer vision.
A TinyML-powered CV cane to solve an everyday challenge for the blind - crossing the street.
How to use ESP-EYE to run image recognition to recognize hand gestures for rock, paper, and scissors, and how to train it on your own data.
I am having a go at building a CCFL-backlit computer screen from parts.
A the list of four techniques, that can be helpful when aiming for running real-time model inference on Raspberry Pi 4. Ready? Let’s go!
Here, I will be implementing a machine learning model on a remote Raspberry Pi connected over a cellular module.
Poison ivy causes painful rashes & is found in places with poor reception (forests). Use this edge ML tool to ID poison ivy on your hike!
Build Fire Extinguishing Robot, learning data fire for object detection with Grove Vision AI Module V2
This case designs a project to play tic-tac-toe with robot arm, integrating computer vision and robotic control.
The Risk Assessing Drone (R.A.D) utilizes multiple detection methods to map a field for UXO and prioritize objects for mitigation
TensorFlow Lite makes sense for edge devices like the MaaXBoard.
Small battery-operated board with low-power image sensor that captures images at regular intervals and saves them on a memory card.
Will guide you to make a Cellular IoT based Product Quality Analyzer with M5Unit V2.
This project explores a low-cost solution for detecting intramuscular injection site to empower the next-gen autonomous vaccine injection.
Using Python, OpenCV a projector and a webcam, our students created a tic tac toe game you can play on a video wall.
The real-time detection of seed rice variety using Edge Impulse's FOMO(Faster Objects, More Objects) machine vision technology.
