Automated Vision API
An advanced computer vision system deployed at the edge. The system processes live camera feeds from manufacturing lines to detect microscopic defects in real-time.
System Limits
Reached.
The manufacturing client was facing high defect rates and their manual QA process was slow and error-prone. They needed an automated, sub-millisecond detection system.
Architectural
Breakthrough.
Built a high-performance C++ and Python pipeline utilizing custom detection models. Wrapped the system in a highly scalable REST API using FastAPI and managed deployment via Docker/Kubernetes.
Integrated Stack
Development Timeline
The structured phases of implementation visualized in 3D space.
System Design
Architecting the infrastructure and UI/UX wireframes.
Core Development
Building the backend APIs, databases, and frontend logic.
Security & Testing
Rigorous load testing and penetration testing protocols.
Global Deployment
Pushing nodes to production servers worldwide.
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