Ravi-Teja-konda/Surveillance_Video_Summarizer
VLM driven tool that processes surveillance videos, extracts frames, and generates insightful annotations using a fine-tuned Florence-2 Vision-Language Model. Includes a Gradio-based interface for querying and analyzing video footage.
This tool helps security personnel or operations managers quickly understand what happened in surveillance footage without watching hours of video. You feed it a surveillance video, and it provides detailed text annotations of key events, actions, and objects, stored in a database and accessible via an interactive interface. It's designed for anyone needing to efficiently review security camera recordings for notable activities.
130 stars. No commits in the last 6 months.
Use this if you need to rapidly process and analyze surveillance videos to identify specific events or activities without manual review.
Not ideal if you need to analyze real-time video streams, as this tool processes pre-recorded footage.
Stars
130
Forks
17
Language
Python
License
—
Category
Last pushed
Jun 06, 2025
Commits (30d)
0
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