YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Detect objects and track body movements in real-time
Detect objects in a video and image using YOLOv5.
Track and count objects in videos
Product Prototype 1
Video captioning/tracking
Photo and video detector with csv annotation saving
Track objects in uploaded videos
YOLOv11 Model for Aerial Object Detection
Analyze video for object detection and counting
Control object motion in videos using 2D trajectories
Detect cars, trucks, buses, and motorcycles in videos
Identify objects in images and videos
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.
• 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.
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.