Radical Delfism in the Age of AI: Connecting AI Assistants to OpenCV and FFmpeg via MCP

Explore how to integrate AI assistants with OpenCV and FFmpeg for innovative video processing solutions.

4 min readTechnology

As technology advances, we find ourselves in the era of large language models and autonomous AI agents. Currently, various agent systems utilize computer vision and cameras to perform tasks. Intelligent video agents can process live video streams, identify objects, analyze human behavior, detect violations, and operate independently. Many of these are commercial AI platforms designed for surveillance, such as Lumana and VisionPlatform.ai. For those looking to create custom solutions, capturing frames using tools like Frame Forwarder and feeding them into visual processing models is possible. Logic can be developed using Amazon Bedrock Agents or frameworks for AI agents like LangChain and CrewAI, where the camera acts as a perception tool. There are also specialized solutions like VisionAgent from Landing AI and Microsoft AutoGen. But is there a simpler way to achieve this using readily available resources? Can we create more accessible home-based agent systems? Let's explore the possibilities.

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