Jikrul Sayeed

Project Short Details Title: Dual-Camera Human Detection and Face Recognition System Description: This project aims to develop a real-time human detection and face recognition system using dual cameras—a laptop's built-in camera and an external USB camera. The system captures video from both cameras simultaneously, detects faces in the frames, and saves images of detected faces along with video recordings. The saved files are organized into separate folders based on the camera used, allowing for easy access and management. The system also employs face recognition to ensure that images of the same person are captured only if a specific time interval has elapsed, thus optimizing storage and processing. Project Targets Simultaneous Video Capture: Implement a system to capture video streams from both the laptop's built-in camera and the USB camera concurrently. Real-Time Face Detection: Utilize Haar cascade classifiers for detecting faces in the video frames from both cameras. Fa...

 Dual-Camera Human Detection and Face Recognition System with Simultaneous Video Recording ------------------------------ This project implements a dual-camera human detection and face recognition system using a laptop's built-in camera and an external USB camera. It captures and records video from both cameras simultaneously, saving the recordings in separate files. The system detects human faces, captures images when new faces are identified, and logs each detection with a time-stamped image. Designed for use on an Ubuntu server, it operates via a local network, allowing users to access live camera feeds and saved data. ------------------------------ Windows 10/11 Setup for Dual-Camera Human Detection Project Steps to Set Up AI + Camera Projects on Windows: Step-by-Step Guide for Webcam Integration in VS Code 1. Install Python 3.10 Since you’re using Python 3.13 and TensorFlow is not compatible, you’ll need to downgrade to Python 3.10 first. Once you have Python 3.10 installed, p...