Learn how to use Python and OpenCV to perform face detection and recognition. This tutorial also covers concepts like bounding boxes, intersection over union (IoU), and grayscale conversion.
Transferscope is a prototype device that blends human creativity with AI, allowing users to capture objects or concepts and seamlessly blend them onto any scene, creating new realities. The handheld device runs on a Raspberry Pi Zero 2, uses an edge detection algorithm for image processing, and a server for interpretation and output generation. Transferscope aims to encourage rethinking of everyday environments and objects and showcases the shift from genuine photography to synthetic image creation.
This project implements a real-time face recognition system using OpenCV and the face_recognition library. The system detects faces from a video stream, recognizes previously seen faces, and displays metadata about each recognized face. It supports both Raspberry Pi cameras and USB webcams.
The article is about the winners of the OpenCV AI Competition 2023, which was held with the support of Khadas and Seeed Studio. The competition had three categories: Ranked Prize, Finalis
t, and Popular Vote - Finalist.
In the Ranked Prize category, the first place was awarded a Grand Prize Winner Sponsored by KHADAS ($7,472 value), the second place was awarded a 1st Runner-up ($5,472 value), and the thir
d place was awarded a 2nd Runner-up ($4,472 value). The winners in this category were:
* First Place: B-AROL-O - A Four-legged Robot Ensuring Intelligent Sprinkler Automation
* Second Place: OpenCV for Exoplanet Detection
* Third Place: IC4U - Robot Guide Dog for Visually Impaired People