Detect objects in real-time video stream
Next Gen Yolo
ObjectCounter
Detect objects in real-time video stream
Detect objects in a video
Detect objects in a video and image using YOLOv5.
Detect objects in images or videos
Track people in a video and capture faces
Track moving objects in videos or webcam feed
Detect moving objects in videos
Powerful foundation model for zero-shot object tracking
Track and count vehicles in real-time
Control object motion in videos using 2D trajectories
Indian Vehicle Detection-RoboFlow3.0 is an advanced AI-based tool designed to detect objects in real-time video streams. It specializes in identifying and tracking vehicles, making it highly suitable for applications like traffic monitoring, surveillance, and autonomous systems. With its robust algorithms and optimized performance, it enables accurate and efficient vehicle detection in various environments.
• Real-time object detection: Capable of detecting vehicles in live video feeds with high accuracy.
• Support for multiple video sources: Compatible with cameras, recorded videos, and streaming inputs.
• Customizable detection models: Allows users to fine-tune the detection parameters for specific use cases.
• User-friendly interface: Provides an intuitive dashboard for easy configuration and monitoring.
• High-performance: Optimized for fast processing and minimal latency in detection tasks.
What video sources are supported?
Indian Vehicle Detection-RoboFlow3.0 supports cameras, pre-recorded videos, and streaming URLs, ensuring versatility for different use cases.
Can I train a custom model for specific vehicle types?
Yes, the tool allows custom model training to detect specific vehicle types or adapt to unique environments.
How do I resolve installation issues?
Contact the support team or refer to the official documentation for troubleshooting installation-related problems and compatibility checks.