Project information

  • Category: Iot and Automation
  • Project date: Feb 2023

Project Story

This project was focused on the development of an object detection model that could be integrated with various CCTV systems. The project involved collecting 500 images of faces to build a dataset for training the YOLO (You Only Look Once) program. A YOLO-based program was then created specifically to detect faces using CCTV footage. Additionally, a Python program utilizing OpenCV was developed to enable real-time face detection through CCTV streams. The project aimed to create an efficient, real-time face detection system that could be deployed across multiple CCTV networks.

Tools:
  • YOLO (You Only Look Once): Object detection model for face detection.
  • OpenCV: Library for real-time computer vision tasks and face detection.
  • Python: Programming language used for developing the real-time face detection application.
  • CCTV: Hardware used for capturing video streams.