Enables AI assistants to access and control network cameras to capture images and perform analysis including brightness detection, color distribution, and edge detection.
Provides visual recognition and PTZ camera control for DIY MOSS (ESP32) smart assistants, bridging cloud AI with local camera capabilities via WebSocket.
Enables AI assistants to interact with Frigate NVR security camera systems, supporting camera management, event detection, snapshots, recordings, and system stats via natural language.
Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.
An MCP server that enables interaction with local camera devices to capture and process images. It allows LLMs to access video devices with configurable settings such as resolution, orientation, and image format.