Fruit quality is the most important factor in protecting students from health problems
Squirrels, chipmunks and other creatures are denied while seed is distributed only when birds are recognized by the UNO Q's USB camera!🚫🐿️
YWIL is a computer vision application for industrial manufacturing that recognizes parts and validates steps in a manual assembly process.
The neural network detects movements and directs the camera in the direction of movement and detects objects
With thermal imaging, glass acts as a mirror. Therefore, you can use picture frames and other glass objects to see reflections!
This is explanation tutorial on ADAS detection from Vitis AI Runtime or VART from Vitis AI githb repo.
This blog post describes the project that detects people not wearing helmets.
Antwerp is the testbed for a robotic control software framework I'm marketing named The Robby Framework
Build an object detection model on Edge Impulse that displays both available and unavailable parking spots.
Deploy YOLOv8 on the Rockchip RK1820 AI accelerator with RKNN3, covering model conversion, runtime setup, and real-time object detection.
Here, I will be implementing a machine learning model on a remote Raspberry Pi connected over a cellular module.
Using a TI TDA4VM, RTSP streaming, and an Edge Impulse model, monitor the status on your factory equipment and take action when needed.
Driver ID, location/velocity data, seatbelt, aggressive driving and alcohol detection for Fatal Accident Risk Mitigation (FARM) in vehicles.
Boosting safety with computer vision Detecting obstacles in real-time saves $40K, safeguarding conveyor systems and preventing costly damage
Third eye is an assistive device for the visually impaired that integrates face recognition model, OCR & Translation system (7 languages)
Create an intrusion detection system using a machine learning model with TinyAutomator on a Raspberry Pi!
How to use low-cost MCUs to run object detection models and object tracking algorithms. Edge Impulse FOMO and Arduino are used
AI-powered robot that autonomously tracks and follows people using computer vision and PI control. No programming needed—just visual blocks.
A beginner's guide to follow along step-by-step.
This project demonstrates a low-cost and sensitive walkthrough metal detector.
This device is a conveyor, at the input of which raw grain enters, and at the output we get grain clean from dirt.
Multi-stage inference with Edge Impulse/Tensorflow Lite - Raspberry Pi 4 Compute Module
To tackle dorm laundry hassles, we took pics and trained models to monitor washers using the Seeed Vision AI Module v2 & Xiao ESP32S3.
An open-source wheeled robot, controlled by the KR260 SoC, designed for cost-effective multispectral plant monitoring in agriculture.
