This project implements a face recognition-based attendance system using the ESP32-CAM and Python. It detects faces in real-time, recognizes registered users, and marks attendance in a CSV file.

Implemented real-time object detection using YOLOv8 on video streams from both ESP32-CAM and mobile IP cameras. Calculated object distance from the camera’s bottom-center using bounding box centroids ...

At first blush, it might seem like projects that make extensive use of computer vision or machine learning would need to be based on powerful computing platforms with plenty of clock cycles and memory ...

There’s just some joy in an instant camera. They were never quality cameras, even in the glory days of Polaroid, but somehow the format has survived while the likes of Kodachrome have faded away.

The ESP32-Stick-PoE-A-Cam(N16R8) is an open-source ESP32-S3 development board with Ethernet, camera, and active PoE support designed for machine learning applications. Compared to similar boards like ...

Abstract: Vision loss presents substantial barriers to autonomy, employment, and routine activities. With over 2.2 billion individuals globally affected by some form of visual impairment, even basic ...

AI-On-The-Edge-Cam is an ESP32-S3 board with a 2MP camera, microSD card, WiFi, BLE, and PoE Ethernet connectivity designed to digitize legacy utility meters such as water meters, gas meters, or ...