Real-Time Face Detection for iOS
A production-ready implementation of Apple’s Vision framework that brings accurate face detection to your iOS applications.
The Problem
Implementing real-time face detection and facial landmark tracking requires deep knowledge of Apple’s Vision and VisionKit frameworks. Most tutorials suffer from the “Massive View Controller” anti-pattern, resulting in code that is difficult to maintain, extend, or reuse.
The Solution
This complete iOS application provides a clean, production-ready implementation featuring:
- Face Bounding Box Detection - Visualize detected faces with customizable overlays
- Facial Landmark Detection - Track eyes, nose, mouth, and facial contours in real-time
- Capture Quality Scoring - Determine image quality for optimal processing (0.0 to 1.0 scale)
- Head Position Tracking - Monitor roll, yaw, and pitch angles
The Benefits
- Save 20-40 hours of framework research and implementation
- Clean architecture with proper separation of concerns
- Pipeline pattern using Combine for data flow
- Reusable components easily adapted to your use case
- Modern SwiftUI implementation
- Tested on iPhone 11 Pro Max with iOS 15
Engineering Excellence
Unlike typical examples, this code is architected using SOLID principles:
CaptureSession- Handles image sequence captureFaceDetector- Runs detection algorithmsCameraView- Manages video preview display- Connected via Combine publishers in a clean pipeline
What You Get
Complete Xcode workspace with fully functional iOS app. All source code included for use in your own projects.
Ready to add face detection to your app?