Inspired by state-of-the-art autonomous systems, Coral AI uses a C++ backed screen-capture module that runs on a separate CPU thread.
Core Architecture
How It Works Under The Hood
The Lock-Free Vision & Frame Buffer module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.
Millisecond Latency
Grabs the active screen frame buffer in under 10ms.
VLM Integration
Passes the compressed frame through a Vision-Language Model to understand visual context.
Non-Intrusive
Vision analysis happens completely invisibly without flashing the screen or taking cursor control.
Contextual Awareness
Understands UI elements, error codes, and graphs currently displayed.
This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.