Open Innovation Vision agentsSubmitted July 26, 2026

Agentic CC TV analyzer

An MCP app on the Model Context Protocol built by Vision agents at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Agentic AI CCTV Analyzer is an intelligent surveillance platform that transforms traditional CCTV systems into AI-powered security assistants. Instead of requiring security personnel to manually review hours of video footage, the system automatically analyzes surveillance videos, detects significant events, organizes them into structured timelines, and enables users to retrieve critical information through intelligent search.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Source code

Team Vision agents

  • Mutyala AbhilashLead

  • Harsha Venkata Saravan P

  • Vallinadh Dasireddy

  • ANNANGI PAUL JENISH

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Frequently asked questions

What does Agentic CC TV analyzer do?
Agentic AI CCTV Analyzer is an intelligent surveillance platform that transforms traditional CCTV systems into AI-powered security assistants. Instead of requiring security personnel to manually review hours of video footage, the system automatically analyzes surveillance videos, detects significant events, organizes them into structured timelines, and enables users to retrieve critical information through intelligent search.
Who built Agentic CC TV analyzer?
Agentic CC TV analyzer was built by team Vision agents at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Open Innovation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.