https://github.com/d-nadella/realtime_threat_detection

Developed a real-time threat detection system using Python, OpenCV, and Ultralytics YOLO for continuous monitoring and immediate alerts on suspicious activities in sensitive areas
https://github.com/d-nadella/realtime_threat_detection

deep-learning detect-threats machine-learning neural-networks opencv python-3 ultralytics webcam yolov8n

Last synced: 15 days ago
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Developed a real-time threat detection system using Python, OpenCV, and Ultralytics YOLO for continuous monitoring and immediate alerts on suspicious activities in sensitive areas

• Host: GitHub
• URL: https://github.com/d-nadella/realtime_threat_detection
• Owner: d-nadella
• Created: 2024-12-27T07:45:29.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-12-27T08:36:30.000Z (about 2 months ago)
• Last Synced: 2025-01-30T18:39:51.022Z (15 days ago)
• Topics: deep-learning, detect-threats, machine-learning, neural-networks, opencv, python-3, ultralytics, webcam, yolov8n
• Language: Python
• Homepage:
• Size: 5.58 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real-Time Threat Detection using YOLOv8

This project implements a real-time threat detection system using **YOLOv8** (You Only Look Once) for object detection. The system uses a webcam feed to monitor for suspicious objects, and it triggers an alert when a suspicious object, such as a "knife," is detected. The system employs **Python**, **OpenCV**, and the **Ultralytics YOLO** model to detect objects and track activities in real-time.

## Features

- **Real-Time Monitoring**: Continuously captures video from the webcam.

- **Object Detection**: Utilizes YOLOv8 to detect objects from a list of predefined classes.

- **Suspicious Activity Detection**: Alerts when a suspicious object (e.g., "knife") is detected, triggering an immediate exit of the program.

- **Bounding Boxes**: Displays bounding boxes around detected objects with class labels and confidence scores.

  

## Requirements

- Python 3.x

- OpenCV

- Ultralytics YOLOv8 Model

## Example Output

> Image