OPear
Automate crime detection without compromising your privacy
The Challenge: Privacy vs. Security
Current security solutions create a trade-off between privacy and security, forcing people to choose between feeling safe and maintaining personal privacy.
The OPear Solution
Local data processing with zero cloud storage ensures complete privacy protection while achieving 93% accuracy on threat detection.
Core Functionality
Local AI processing with zero cloud data storage
Connect with existing camera systems
93% accuracy on UCF Crime Dataset
Open-source for transparency and trust
Technical Hurdles Overcome
Balancing privacy concerns with security requirements
Optimizing AI model for edge device performance
Creating transparent open-source architecture
Achieving high accuracy with local processing only
Development Process & Hurdles
The development process focused on creating a robust solution that could meet the project requirements while prioritizing privacy at every stage. We iterated through multiple designs to find the optimal balance between performance and data protection.
Impact and Validation
The project has achieved significant results and continues to make an impact in various sectors. With strong adoption rates and positive user feedback, OPear demonstrates that privacy-first security is not only possible but preferred.
"The key insight was that privacy and security shouldn't be mutually exclusive. We needed a system that could protect personal privacy while still providing effective security."
Project Overview
AI-powered security system that protects privacy while monitoring for threats
My Role
Full-stack development, AI model training, System design, Brand development
Project Stages
Ideal Use Cases
Key Metrics
10,000+ downloads on Hugging Face
Project Gallery
Privacy-focused crime detection architecture
Official landing page with mission statement
Fine-tuned video classification model with 93% accuracy
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