feat:Real-Time Face Tracking

[sinanverve7]

Plugin(s)

• [ ] Barcode Scanning
• [X] Face Detection
• [ ] Face Mesh Detection
• [ ] Selfie Segmentation
• [ ] Translation

Current problem

I am currently using the @capacitor-mlkit/face-detection plugin to verify users' selfies. However, many users upload images of chairs, walls, or other irrelevant objects instead of their faces. Additionally, some users rotate their heads and upload images showing only their right or left ear. This leads to unsuccessful selfie verifications. To address this, I need a way to provide real-time feedback to users, prompting them to make their face fully visible in the camera preview.

Preferred solution

please Integrate real-time face tracking using Apple's Vision framework into the @capacitor-mlkit/face-detection library, as detailed in Apple's documentation on tracking the user's face in real time.

Alternative options

No response

Additional context

Did omit this feature because of increased app size ?

No response

Before submitting

• [X] I have read and followed the feature request guidelines.
• [X] I have attached links to possibly related issues and discussions.

[robingenz]

The Capacitor MLKit plugins are intended to make the MLKit SDKs accessible for Capacitor apps. The integration of Apple's Vision framework is therefore out of scope.