FaceDetection&Recognition
Production-grade face detection and recognition system for secure access, identity verification, and real-time video analytics — built for private deployment.
Client
Private Client
Timeline
End-to-end delivery
Type
Custom ML Pipeline
Delivery
Private
Real-time
Inference
On-prem
Deployment
CV + API
Full Stack
01Overview
A custom computer vision system that detects faces in live video streams and images, extracts embeddings, and matches identities against an enrolled database — delivered for private, on-premise use without a public-facing product URL.
02The Problem & The Fix
The Challenge
The client needed reliable face detection and recognition under varied lighting, angles, and camera quality — with low false positives, fast inference, and a pipeline that could run on their own infrastructure without exposing data to third-party SaaS APIs.
Our Solution
We engineered an end-to-end CV pipeline: face detection, alignment, embedding extraction, similarity matching, and a secure API layer for enrollment and verification — optimized for real-time performance and private deployment.
03Our Approach
Model Selection & Tuning
Evaluated detection and recognition architectures for accuracy vs. latency on target hardware.
Pipeline Engineering
Built preprocessing, embedding, and matching stages with configurable confidence thresholds.
Private Deployment
Packaged the system for on-premise delivery with API endpoints and enrollment workflows.
04What We Delivered
Key Deliverables
- Real-time face detection module
- Recognition & identity matching engine
- Secure enrollment API
- Performance benchmarking report
- Deployment documentation
Features Built
- Multi-face detection in images and video streams
- Embedding-based identity matching with threshold control
- Enrollment and gallery management for known identities
- Low-latency inference optimized for production hardware
- Private deployment — no public live demo URL
05The Impact
Delivered a production-ready face recognition pipeline for private use
Reduced manual identity verification overhead for the client
System runs entirely on client-controlled infrastructure
Extensible foundation for access control and analytics use cases
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