V-Nut

V-Nut: Open-Source Computer Vision for Video Analytics

Open-source computer vision processing software focused on video analytics like object detection, recognition and tracking with drag-and-drop Python OpenCV pipelines

What is V-Nut?

V-Nut is an open-source computer vision processing software focused on video analytics like object detection, recognition and tracking. It allows developers and researchers to easily build and deploy AI-powered video/image processing pipelines without coding.

Some key features of V-Nut:

• Drag-and-drop interface to connect Python OpenCV components like filters, models, visualizers etc to build video processing pipelines
• Support for various data inputs like IP cameras, RTSP streams, video files
• Real-time and batch processing capabilities for both live streams and pre-recorded videos
• Extensible architecture to incorporate custom Python OpenCV models and logic
• Model catalog to discover, share and reuse existing computer vision models
• Detailed logging, monitoring and analytics dashboard
• Scheduler for timed execution of pipelines

V-Nut accelerates the development of computer vision solutions around areas like security surveillance, anomaly detection, quality inspection, traffic monitoring and more. Its easy-to-use workflow designer allows coders and non-coders alike to harness the power of OpenCV and Python without writing a single line of code.

V-Nut Features

Official Links