Everything you must know to start working with Raspberry PI AI Camera
A sensitive metal detector which is a great example of cooperation between a microcontroller and an Android smartphone.
Drone patrolling along highly populated public places to monitor social distancing during Covid-19.
Use an Ultra96V2 Board, a Yolov3 neuronal network running on a Xilinx DPU to calculate the perfect pizza cutting angle based on the toppings
You can quickly start with Raspberry PI AI camera powered by Sony's IMX500 Intelligent Sensor and try pre-trained sample AI models.
Covers basics on loading and running Computer Vision AI Model (Mobilenet SSD v2) on Raspberry Pi AI Camera, with visualization.
Discover how to set up and run YOLOv12 on Jetson Nano 4GB for real-time object detection. Efficient, powerful AI at the edge!
The ML Yocto image includes an eIQ layer so you can run machine learning inference efficiently on the MaaXBoard.
Drone following gesture commands. Equiped with 2 cameras and gimbal. Universal platform for searching people, objects, animals...
Using the KV260 DPU Core & ML to Detect Birds in the Vicinity of Airport and Preventing Birds Strikes During Approach/ Landing / Take-off.
Jdetect adds AI to security system, works with any IP cameras, and brings new life to existing investment.
Sight Buddy seeks to integrate embedded components to deliver novel solutions using AI tools for users with visual impairments.
This is certainly the simplest and cheapest object detection system that can serve perfectly for the presentation.
The role of the new SeeedStudio Grove Vision AI Module V2 in Wildlife Surveillance A review...
Using an RTSP camera and a Kria KV260, identify cars, buses, and people around your house and get notified by text message of an event!
This robot will follow you where ever you go, just make sure to be in touch with it.
Deploying and inferencing a TFLite model trained using Edge Impulse Studio on M5Stack UnitV2
Using YOLO on an Nvidia Jetson Nano to detect faces and objects in photos, videos, and live camera stream.
Computer Vision Exploration with the help of OpenMV, Edge Impulse, and Arduino.
Learn how to deploy NVIDIA TAO Object Detection ML models on the NXP i. MX 93's dual-core Arm Cortex-A55 CPU and Ethos-U65 NPU.
Will guide you to build a real time object detection system with Raspberry Pi 4B
This project is to showcase object detection using OAK-D, which is trained in SSD-MobileNet-V2 model with custom dataset.
Jetson car able to find objects, controlled through remote voice control using an Android Application which supports words in two languages.
AI-powered vision on Raspberry Pi Zero 2 W with Sony’s IMX500—ideal for lightweight, low-power vision application
