Prototype Developer Needed for Vision Tech

Computer Vision Prototype Needed — Head Tracking & Auto Zoom (R&D Phase)

I’m building a product and am currently in the early R&D phase before final hardware and SDK delivery.

We are looking for an experienced computer vision / mobile vision developer to help us prototype and validate:

Core Features
• Real-time head/face detection
• Automatic head tracking (keeping the head centered)
• Auto zoom / smart cropping (keeping head size consistent)
• Smooth motion and transition logic

At this stage, we do not yet have final hardware or SDK access, so we are asking the freelancer to:

Phase 1 – Prototype (on your own hardware)
• Build a working demo using your own Android device / webcam / test camera
• Use open-source tools (MediaPipe / TensorFlow Lite / OpenCV / YOLO, etc.)
• Demonstrate:

1. Live head tracking
2. Auto zoom in real time
3. Stable performance (≥15 FPS)

Deliverables
• Full source code
• Build instructions
• Short demo video showing real-time performance
• Explanation of how this will later integrate with a custom camera SDK

Once validated, this prototype will be integrated into our production system.

Target Platform (Future Integration)

Our production system will be:

• Android-based smart mirror
• Wi-Fi camera input (custom SDK)
• C/C++ (NDK) + Java/Kotlin
• Video resolution: up to 4K
• P2P local streaming (no cloud)

So experience with embedded/mobile video pipelines is important.

Preferred Skills

• Computer Vision / Machine Learning
• TensorFlow Lite / MediaPipe / ONNX / PyTorch
• OpenCV / FFmpeg / MediaCodec
• Android NDK / Native pipelines
• Real-time video processing

Project Structure

Phase 1: Prototype & validation (this project)
Phase 2: Integration with hardware SDK (later stage)

We are looking to build a long-term technical relationship.

Please let us know:

• Your relevant experience
• Similar projects you’ve done
• Estimated timeline for Phase 1
• Your rate