This project aims to use an external USB camera connected to the UNIHIKER to recognize objects, locate human figures in the images, and display their poses.
Have you ever wanted to run YOLOv8 on a compact, affordable device? This tutorial is your gateway to running YOLOv8, the state-of-the-art object detection model, on the Unihiker single-board computer. Designed for Python enthusiasts and embedded systems developers.
Our previous tutorial covered running YOLOv8 on Unihiker, showcasing its real-time object detection on a compact, affordable platform. Now, let's go further with YOLOv10, the latest YOLO breakthrough.
This tutorial is ideal for students, hobbyists, or educators who want to integrate precise distance sensing into projects such as robotics, automation, obstacle detection, or smart measuring tools.
This project is to connect an external USB camera on UNIHIKER and use the camera to recognize the object, find the square object in the frame and frame it out.
The UNIHIKER-based Yolo license plate recognizer uses a USB camera and YOLO model for fast, accurate recognition, enabling smart vehicle monitoring, efficiency, and security.
This project is to learn OpenCV LK Homography Target Tracking Using UNIHIKER. Connect an external USB camera on UNIHIKER and use the camera to detect the target and track it.
This project is to learn OpenCV Feature Homography Target Tracking Using UNIHIKER. Connect an external USB camera on UNIHIKER and use the camera to detect the target and track it.
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