BackAI / Computer Vision
Overview
Real-time computer vision pipeline analyzing live camera frames to detect capture quality issues — lighting, framing, focus — and surface corrective feedback in under 100ms. Built for mobile with a lightweight inference model.
Problem
Users often take poor-quality photos due to lighting, framing, or focus issues without real-time feedback.
Solution
Built a real-time computer vision system that detects capture issues and provides immediate feedback to improve photos.
Features
- Real-time image analysis
- Capture quality detection
- User feedback loop
- Mobile deployment prototype
Impact
- Top 3 — UCI AI Innovation Challenge
- $2,000 award
- Selected among 80+ teams
Tech
PythonComputer VisionMobile