Track objects in live stream or uploaded videos
Identify objects in an image
Upload image to detect objects
Stream webcam video and detect objects in real-time
Identify objects in real-time video feed
Detect objects in uploaded images
Detect face masks in images
Detect objects in random images
Run object detection on videos
Identify segments in an image using a Detectron2 model
Detect defects in images and videos
Identify objects in images
Identify and label objects in images using YOLO models
Livestream Webapp is an AI-powered web application designed for object detection in live video streams or uploaded videos. It enables users to track and identify objects in real-time, making it a valuable tool for surveillance, monitoring, and analytics. The app leverages cutting-edge AI technology to provide accurate and efficient object detection, suitable for various applications.
• Real-Time Object Detection: Track objects in live video streams with high accuracy.
• Video Upload Support: Analyze uploaded videos for object detection.
• Customizable Detection: Define specific objects to track based on user needs.
• Alert System: Receive notifications when selected objects are detected.
• Analytics Dashboard: View detailed insights and patterns from detection data.
• Cross-Platform Compatibility: Access the app from any modern web browser.
• User-Friendly Interface: Intuitive design for easy navigation and configuration.
• Integration Capabilities: Connect with third-party services for advanced workflows.
What browsers are supported by Livestream Webapp?
Livestream Webapp is compatible with all modern web browsers, including Chrome, Firefox, Safari, and Edge.
Can I customize the objects being detected?
Yes, users can define specific objects to track based on their requirements, allowing for tailored detection.
How does the app handle high-traffic live streams?
The app is optimized to handle high-traffic streams efficiently, ensuring minimal latency and accurate detection even in busy environments.