This project demonstrates a low-cost and sensitive walkthrough metal detector.
When Xilinx launched Kria™, they also provided a method for quickly deploying apps. This project takes a look at creating a custom app.
Easy object detection framework that can be used to create a La Croix Flavor Detector or any other object detection project in Python!
A machine vision-based blob analysis method is explained to track an object in real-time using MATLAB and webcam.
Introducing LabGuard, a safety device designed for laboratory settings. With advanced technology, LabGuard can detect the usage of lab coats
Covers basics on loading and running Computer Vision AI Model (Mobilenet SSD v2) on Raspberry Pi AI Camera, with visualization.
This is certainly the simplest and cheapest object detection system that can serve perfectly for the presentation.
Here’s a security system demo using a USB Webcam, COCO Dataset, NVIDIA Jetson Nano, and Node-RED. Anyone can do “no-code” Object Detection!
Pan & Tilt Object Tracking with DFRobot Huskylens & Cytron Technologies Edu:bit (Micro:bit)
Intel MyriadX VPU meets OpenCV
Everything you must know to start working with Raspberry PI AI Camera
Take a look at this very interesting project - Object Detection using Qualcomm® Robotics RB5 development kit
You can quickly start with Raspberry PI AI camera powered by Sony's IMX500 Intelligent Sensor and try pre-trained sample AI models.
Unlock silent precision with BLDC Motors. Build a color/face-tracking camera using SaraKIT on Raspberry Pi 4. Say goodbye to noisy servos!
Using the Seeed Xiao Round Board to display object recognition results using FOMO and Edge Impulse.
This is explanation tutorial on ADAS detection from Vitis AI Runtime or VART from Vitis AI githb repo.
AI-powered vision on Raspberry Pi Zero 2 W with Sony’s IMX500—ideal for lightweight, low-power vision application
Multi-stage inference with Edge Impulse/Tensorflow Lite - Raspberry Pi 4 Compute Module
Cargus monitors the baby car seat. If it detects a baby in the car seat and an idle car, it will send a text message to the parent.
Aquarium dwarf shrimp object detection. Utilizing polygon zone from roboflow supervision to track and count shrimp in feeding area.
Interface ultrasonic sensor (hc-sr04) with arduino.
Hey there meet the 30-40 finder, why 30-40? Well it monitors between a distance of 30 cm and 70 cm and so got a fancy name for it.
Challenge artificial intelligence with a game of Paper, Rock, Scissors
The BLE-Detect app transforms your Bangle. js smartwatch into a portable BLE device scanner, identifying nearby Bluetooth Low Energy Devices.