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Foarbyld fan AuraCam: Live Filter & ML Studio

AuraCam: Live Filter & ML Studio troch Agneay B Nair

Enhance your webcam with real-time filters, AI overlays, mirroring, and custom TensorFlow.js models.

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AuraCam: Live Filter & ML Studio

Transform your webcam into a powerful creative workspace with AuraCam. Apply real-time visual filters, AI-powered overlays, and custom TensorFlow.js models directly to your live camera feed. The processed stream can then be used by websites and web applications that access your webcam.

Features

Real-Time Filters
Give your camera a fresh look with built-in filters inspired by popular photography styles.

Available filters include:
  • Clarendon
  • Gingham
  • Juno
  • Lark
  • Ludwig
  • Aden
  • Crema
  • Valencia
  • X-Pro II
  • Reyes
  • Slumber

You can also mirror your camera horizontally, vertically, or both.

Built-in AI Effects

AuraCam includes real-time computer vision models running directly inside your browser.

-Face Detection
- Facial keypoint tracking
- Futuristic face mesh overlay
- Eye, nose, mouth, and ear visualization

Object Detection
- Detects people and common everyday objects
- Live bounding boxes with confidence scores

Custom TensorFlow.js Model Loader

Load your own TensorFlow.js models for experimentation and development.

Features include:
  • Drag-and-drop model loading
  • Support for Graph Models and Layers Models
  • Adjustable confidence thresholds
  • Configurable tensor mappings
  • Multiple bounding box coordinate formats

Studio Dashboard

AuraCam includes a built-in studio interface for creating content.

Features:
  • Live processed camera preview
  • Snapshot capture
  • Local video recording
  • Recording timer and status display

Performance

AuraCam processes your webcam stream in real time within the browser to deliver smooth, low-latency effects while remaining compatible with modern web applications.

Privacy

AuraCam processes webcam data locally on your device.

The extension does not upload, store, or share your webcam feed. User preferences are stored locally in the browser.
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