AI-powered Video Analysis and Tagging Tool
A proof of concept for a machine video intelligence (MVI) system that runs a comprehensive video content analysis. This Azure-based solution’s back end is built with .NET, while Angular and Tailwind CSS are the primary front-end development technologies. Leobit’s team used advanced AI models, such as Ultralytics YOLOv8, HuggingFace Transformers, OpenCV, as well as audio-processing features, to segment scenes from the videos, detect objects, activities, and analyze behavior. Upon processing the video, the solution delivers a detailed analytical report with timestamps, confidence scores, and visual overlays.