A Flutter plugin that enables real-time camera streaming with Firebase ML Vision for on-device machine learning tasks like text recognition and image labeling. It leverages Firebase's ML Kit to process live video feeds directly from the device camera, supporting continuous analysis without server dependency. Ideal for applications requiring instant OCR or object detection in dynamic environments. The plugin simplifies integration with Firebase ML Vision by handling camera setup and stream processing. It is designed for developers seeking efficient, low-latency vision capabilities within Flutter apps.
Use cases
- Real-time text extraction from live video
- On-device object and face detection
- Instant document scanning in mobile apps
- Augmented reality with visual context
- Live translation via camera feed
Key features
- Live camera stream processing
- On-device ML inference
- Firebase ML Vision integration
- Low-latency OCR and detection
- Simple API for camera and vision tasks
Suitable for
- Mobile apps needing real-time vision
- Developers using Firebase ML Kit
- Apps requiring offline-capable OCR
- Prototyping vision-based features
- Flutter projects with camera functionality
Considerations
- Requires camera permissions
- Performance depends on device hardware
- Limited to Firebase ML Vision features
- No support for custom models
- May consume significant battery during prolonged use