Detect objects in uploaded videos or live streams
Segment objects in videos with point clicks
Car detection testing
Control object motion in videos using 2D trajectories
Detect cars, trucks, buses, and motorcycles in videos
Track objects in uploaded videos
computer-vision-problems
Next Gen Yolo
Process video to detect specified objects
Track and count vehicles in real-time
yolo
Track and count objects in videos
Detect objects in a video stream
QuickTrack is an AI-powered tool designed to detect and track objects in video files or live streams. It provides a robust solution for automatically identifying and monitoring objects within visual content, making it ideal for applications requiring accurate object recognition and tracking.
• Accurate Object Detection: Quickly identifies objects within video frames using advanced AI algorithms.
• Real-Time Tracking: Monitors and tracks the movement of detected objects during live streams or video playback.
• Customizable Settings: Allows users to specify which objects to track or ignore, enhancing accuracy for specific use cases.
• Integration Capabilities: Can be seamlessly integrated into existing workflows for applications like surveillance, sports analytics, or robotics.
• User-Friendly Interface: Provides an intuitive dashboard to review and manage tracking results efficiently.
What types of objects can QuickTrack detect?
QuickTrack can detect a wide range of objects, from people and vehicles to custom-defined objects, depending on your configuration.
Is QuickTrack suitable for live video streams?
Yes, QuickTrack supports real-time object tracking in live video streams, making it ideal for applications requiring immediate insights.
Can I customize the tracking settings?
Absolutely! Users can customize settings to focus on specific objects or adjust sensitivity for better accuracy.