YOLOv11n & DeepSeek 1.5B LLM—Running Locally
SOTA real-time object detection model
Detect objects in a video
Detect objects in real-time from your webcam
Detect objects in a video and image using YOLOv5.
Process video to detect and highlight objects
Process video to detect specified objects
Detect cars, trucks, buses, and motorcycles in videos
Generate annotated video with object detection
Detect objects in real-time from webcam video
Track and count vehicles in real-time
Generate a video with stick figures tracking human poses
A UI for drone detection for YOLO-powered detection system.
ThreatDetection is an advanced AI-powered tool designed for object detection and analysis in videos or CCTV streams. Leveraging cutting-edge technologies like YOLOv7 and DeepSeek 1.5B LLM, this application enables real-time tracking and identification of objects within video footage. It is optimized to run locally, ensuring privacy and efficiency for security and surveillance applications.
What is the minimum system requirement to run ThreatDetection?
ThreatDetection requires a capable GPU to handle real-time object detection. A minimum of 4GB VRAM is recommended for smooth performance.
Can I customize the types of objects ThreatDetection detects?
Yes, ThreatDetection allows you to define custom object categories and set specific detection parameters for improved accuracy.
Is ThreatDetection suitable for real-time CCTV monitoring?
Absolutely. ThreatDetection is designed for real-time analysis and can handle live CCTV streams effectively with low latency.