Overview
A Flutter plugin that leverages Google's ML Kit to detect human body poses in real time from video streams or static images. It enables developers to build interactive applications that respond to user movements, such as fitness tracking, dance analysis, or gesture-based controls. The plugin supports both Android and iOS platforms and integrates seamlessly into Flutter apps with minimal setup. It provides accurate joint detection and pose landmarks for detailed motion analysis.
Use cases
- Fitness and exercise tracking
- Gesture-controlled interfaces
- Dance and movement analysis
- Interactive gaming
- Virtual try-ons
Key features
- Real-time pose detection
- Support for both video and image input
- Accurate joint landmark detection
- Cross-platform compatibility (Android & iOS)
- Easy integration with Flutter
Suitable for
- Developers building fitness apps
- Creators of interactive AR experiences
- Teams working on motion-based UIs
- Educational apps for physical activity
- Apps requiring gesture recognition
Considerations
- Requires camera access permissions
- Performance may vary on lower-end devices
- May need additional processing for complex movements
- Accuracy depends on lighting and pose visibility
- Limited to single-person detection in basic mode