Track objects in uploaded videos
Identify objects in images and videos
Product Prototype 1
Generate a video with stick figures tracking human poses
Track moving objects in videos or webcam feed
Detect objects in live video feeds
Analyze images and videos to identify objects
Efficient Track Anything
Model Yolo
Track and count objects in videos
Identify and track faces in videos
Detect objects in images or videos
SOTA real-time object detection model
Real-Time Video Object Detection is a cutting-edge technology within the field of computer vision that enables the detection and tracking of objects within video streams in real time. This technology is designed to process live or uploaded videos and identify specific objects, such as people, vehicles, or animals, as they appear in each frame. It is widely used in applications like surveillance systems, autonomous vehicles, and sports analytics to provide instant insights and actionable data.
1. What types of objects can be detected?
Real-Time Video Object Detection can identify a wide range of objects, including people, vehicles, animals, and custom objects based on the model used.
2. How accurate is the detection?
Accuracy depends on the AI model and video quality. Modern models achieve high accuracy, but factors like lighting and resolution can affect performance.
3. Can it work with low-quality videos?
Yes, but detection accuracy may decrease with lower video quality. For best results, use clear and well-lit video sources.