Vigil

Vigil is a real-time security and surveillance system designed to detect potential threats through computer vision. It monitors camera feeds to identify fire and smoke, as well as individuals with covered or concealed faces, helping to enable faster response times in security-sensitive environments.

Features

• Fire & Smoke Detection — Real-time identification of fire and smoke in video streams to enable early warning and rapid response.
• Face Covering Detection — Detects individuals whose faces are covered or obscured (e.g., masks, helmets, scarves) as a potential security risk indicator.
• Live Monitoring — Processes live or recorded camera footage for continuous surveillance.
• Alert System — Notifies users when a threat is detected.

How It Works

Vigil uses computer vision and machine learning models to analyze video frames in real time, flagging anomalies such as fire, smoke, or concealed identities that may indicate a security concern. with your help vigil could potentially support cctv cameras in the future.

Tech Stack

• Python
• OpenCV

Installation

git clone https://github.com/aljohanioh-wed/vigil.git
cd vigil
pip install -r requirements.txt
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