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20243rd Place · RecognAIze Hackathon
RecognAIze
Ethical AI-Powered CCTV
An AI-powered CCTV system built at the RecognAIze Hackathon with a strong emphasis on responsible, ethical AI. Team placed 3rd for computer-vision detection with a responsible-AI focus.
3rd
Place
CV
Detection
Ethical
By design
AIComputer VisionPythonEthical AI
The Problem
Automated video surveillance raises real ethical concerns while promising genuine safety benefits — the challenge is doing it responsibly.
The Challenge
Building useful computer-vision detection while explicitly designing for privacy and ethical constraints, under hackathon time pressure.
Architecture
- Computer-vision detection pipeline over video streams.
- Ethical-AI guardrails shaping what is detected and retained.
Workflow
- 1Ingest video feed.
- 2Run responsible detection with privacy constraints.
- 3Surface only what is necessary and appropriate.
Engineering Decisions
- →Made ethics a first-class design constraint, not an afterthought.
- →Focused on responsible detection scope.
Results
Placed 3rd at the 42 Abu Dhabi RecognAIze Hackathon.
Lessons Learned
Responsible-AI constraints, framed early, can be a design strength rather than a limitation.
Future Improvements
- Formal privacy auditing.
- Bias evaluation.