Solution for deploying advanced AI models on embedded systems, Using our Synapedge ONNX-to-C compiler.
Tutorial on how to use SAMURAI instance segmentation and tracker for Single Object Tracking (SOT), with AMD GPUs.
This case designs a project to play tic-tac-toe with robot arm, integrating computer vision and robotic control.
Discover how to set up and run YOLOv12 on Jetson Nano 4GB for real-time object detection. Efficient, powerful AI at the edge!
This project demonstrates how to get up and running on the TDA4VM Edge AI Starter Kit running deep learning demo applications.
We will learn step by step, how to use a PiCam to recognize faces in real-time.
IoT Raspberry Pi security camera running OpenCV for object detection. The camera will send an email with an image of any objects it detects.
Track your face using OpenCV's facial recognition.
Version 2 of my lane detection system!
Run an Edge Impulse computer vision model on the Raspberry Pi Hailo-8 AI Kit to detect and count vehicles.
Tutorial on object detection with Kendryte K210 and raccoons!
A motion tracking airsoft or Nerf gun turret with autonomous and manual operation modes, controlled by a Raspberry Pi.
A Smart & Affordable Automatic Contactless Temperature Checkup and Mask Detection Kiosk using Facial Landmarking and Deep Learning.
Simple road lane detection on Raspberry Pi 3 using OpenCV and Python. Frame rates obtained up to 17 FPS.
GStreamer is a popular framework for implementing video pipelines in Linux. This project shows how to create a custom AI plugin.
Build a custom trash classifier using the Raspberry Pi and Lobe, a beginner-friendly machine learning program (without coding).
A voice-enabled machine which reads book and replies to the questions.
A pan/tilt servo device helping a camera to automatically track color objects using vision.
Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
An efficient module that comprises of face recognition using OpenCV to manage the attendance records of employees or students.
Learn how to deploy the best object detection algorithm to Jetson Nano and start building powerful edge computing applications.
The system is designed to detect unauthorized entry (face masks), that are essential to protect ourselves and to avoid spreading COVID-19.
If you think the second robot in the picture doesn't look stable enough, you''ll be surprised.
Face mask detector with Yolov4 running on Nvidia Jetson Nano.
