YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Track people in a video and capture faces
Dino-X-API-Demo::Alteredverse
Identify objects in images and videos
Detect objects in images or videos
Detect objects in live video from your webcam
Process video to count and track cars
YOLOv11 Model for Aerial Object Detection
Product Prototype 1
Process videos to detect and track objects
Video captioning/open-vocabulary/zero-shot
Detect cars, trucks, buses, and motorcycles in videos
Segment objects in videos with point clicks
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.