Sensitive Pulse Induction metal detector which is based on ARM STM32 microcontroller. It can detect metal coih at distance of 30cm.
Learn how to deploy the best object detection algorithm to Jetson Nano and start building powerful edge computing applications.
This project is an example of how AI can be used for counting objects in a quick and efficient way using embedded Machine Learning.
Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop
This tutorial is on "How to install Petalinux 2021.1, Building Petalinux BSP Project of Kria KV260 with SmartCam & run FaceDetection App"!
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
Computer Vision Exploration with the help of Edge Impulse and Arduino.
Get started using a Pi 3 with Intel's Neural Compute Stick 2, to detect objects and faces.
It's a robot cat toy that starts when motion detection and object recognition confirm a cat is present. It also has a camera & web app.
Monitor road usage with this camera-equipped device, which detects and logs vehicle traffic to a cloud database.
Use an antenna and SDR to get satellite imagery data from NASA satellites, then run object detection on the images to identify rain clouds!
Deploying YOLOv8 on Raspberry Pi Zero 2W for Real-Time Bee Counting at the Hive Entrance.
Dual AI Camera using Grove Vision AI V2 and Xiao ESP32S3 Sense to detect and capture images of hummingbirds.
Use Machine Learning & high powered Deep-learning Processing Unit (DPU) to detect pedestrians and alert them that a bicycle is approaching.
Self checkout smart cashier using object detection to calculate number of items and total price for your purchase.
A sensitive metal detector which is a great example of cooperation between a microcontroller and an Android smartphone.
Discover how to set up and run YOLOv12 on Jetson Nano 4GB for real-time object detection. Efficient, powerful AI at the edge!
Using the KV260 DPU Core & ML to Detect Birds in the Vicinity of Airport and Preventing Birds Strikes During Approach/ Landing / Take-off.
Sight Buddy seeks to integrate embedded components to deliver novel solutions using AI tools for users with visual impairments.
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.