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Track objects in video
ThreatDetection

ThreatDetection

YOLOv11n & DeepSeek 1.5B LLM—Running Locally

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What is ThreatDetection ?

ThreatDetection is an AI-powered tool that leverages YOLOv11n object detection model and DeepSeek 1.5B language model to perform object detection and analysis on videos or CCTV streams. Designed to run locally, it enables real-time threat detection by identifying and analyzing objects within video feeds, making it a robust solution for security monitoring and surveillance.

Features

• Object Detection: Utilizes the YOLOv11n model for accurate object detection in video streams.
• CCTV Stream Analysis: Process live or recorded CCTV footage for potential threats.
• Real-Time Alerts: Generates alerts when suspicious objects or activities are detected.
• Integration: Compatible with local systems for seamless deployment.
• Customizable Thresholds: Adjust detection sensitivity based on specific needs.
• Privacy-Focused: Runs locally on your device, ensuring data remains secure and private.

How to use ThreatDetection ?

  1. Install ThreatDetection: Download and install the application on your local machine.
  2. Set Up Dependencies: Ensure required libraries and dependencies (e.g., Python, OpenCV) are installed.
  3. Load the Model: Initialize the YOLOv11n and DeepSeek 1.5B models for detection tasks.
  4. Configure Settings: Adjust detection parameters such as sensitivity and alert triggers.
  5. Start Detection: Feed video or CCTV streams into the application and start monitoring.
  6. Receive Alerts: Get real-time notifications when threats or suspicious activities are detected.

Frequently Asked Questions

What AI models does ThreatDetection use?
ThreatDetection uses the YOLOv11n model for object detection and the DeepSeek 1.5B language model for advanced analysis.

Can ThreatDetection be used for live CCTV monitoring?
Yes, ThreatDetection supports real-time analysis of live CCTV streams, enabling immediate threat detection.

Is my data kept private when using ThreatDetection?
Yes, ThreatDetection runs locally on your device, ensuring that no data is uploaded to the cloud and your privacy is maintained.

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