Identify objects in live video streams
Identify and label objects in images or videos
Track objects in a video
Detect objects in real-time video stream
Product Prototype 1
Car detection testing
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Detect objects in images or videos
Generate a video with stick figures tracking human poses
Detect objects in images and videos
Identify objects in images and videos
YOLOv11 Model for Aerial Object Detection
Generate annotated video with object detection
V 2.0 is an advanced AI-powered solution designed to track objects in video streams. It enables real-time identification and monitoring of objects within live or pre-recorded videos, making it a versatile tool for surveillance, analysis, and automation tasks.
• Real-Time Object Tracking: Identify and follow objects as they move within video streams.
• Multi-Object Detection: Detect and track multiple objects simultaneously.
• Customizable Models: Fine-tune the AI to recognize specific object types tailored to your needs.
• Alert System: Set up notifications for when specific objects are detected or leave/enter the frame.
• Compatibility: Works with live feeds, recorded videos, and integrates with existing systems.
What types of videos does V 2.0 support?
V 2.0 supports both live video streams (e.g., webcam, CCTV) and pre-recorded video files.
Can I customize the AI model for specific objects?
Yes, you can train the model to recognize specific objects by providing custom data, improving accuracy for your use case.
Does V 2.0 work with all types of video formats?
V 2.0 supports most common video formats, including MP4, AVI, and MOV. For specific requirements, refer to the documentation.