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@VisionixAI

VisionixAI

VisionixAI is focused on building smart energy-saving systems using CCTV-based human detection and real-time automation — bridging vision with action.

VisionixAI logo

VisionixAI

Zone-Based Computer Vision Automation
Smart actions through visual presence detection.

VisionixAI is a computer vision platform for detecting presence in room zones and triggering automated responses — no sensors, no hardware dependencies.

We divide any room into grid-based zones. When a zone is unoccupied for a few seconds, we signal to shut off lights, fans, or other devices. When a person enters, we power it back on.

All logic is controlled via a clean CLI interface, backed by AI vision models. Built for classrooms, offices, or any smart space.

We are currently developing:
CLI Tool — stream video, detect zones, emit signals.
Core CV Model — YOLO/MediaPipe-based zone presence detector.
API Layer — for future integrations with apps, dashboards, and hardware.

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  1. app app Public

    VisionixAI is focused on building smart energy-saving systems using CCTV-based human detection and real-time automation — bridging vision with action.

    JavaScript

  2. core-ml core-ml Public

    The Visionix computer vision module offers real-time image analysis, including object detection and facial recognition, ensuring high accuracy, speed, and versatility across applications.

    Jupyter Notebook

  3. cli-templates cli-templates Public template

    The Visionix CLI serves as the developer-friendly gateway to the entire VisionixAI ecosystem. Designed for seamless local development and automation, it houses all core scripts, templates, and CLI …

    Shell

  4. docs docs Public

    The documentation repository for VisionixAI serves as the central hub for all technical guides, API references, setup instructions, and usage examples. It provides clear and structured information …

    1

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