photo-standardization

To standardize photo capture for reliable skincare progress tracking, you use a guided UI with on-device detection to enforce consistent lighting, face angle, and camera distance during daily photo sessions.

On-device lighting and face angle detection in SwiftUI uses the Vision framework to analyze camera input and provide real-time feedback, guiding users to adjust framing and distance before capturing the image.

Yes, you can use the Vision framework to detect camera distance for standardized photo capture by analyzing facial landmarks on-device, ensuring the user maintains the correct distance from the camera for verifiable results.

The best way to compare before and after skin condition over a 28-day cycle is to use standardized photo capture that applies consistent lighting, framing, and distance guidance during daily check-ins to ensure verifiable comparisons.

No, this photo standardization approach requires no external dependencies, relying entirely on the native SwiftUI and Vision framework capabilities to fulfill on-device detection requirements.

Skincare photo comparison looks inconsistent if face angle and camera distance vary between sessions, which is why applying real-time on-device detection for standardized photo capture is necessary to achieve verifiable results.