05 / AI Surveillance — Case Study

AI-Based Surveillance System

Computer-vision loss prevention for retail — theft, POS fraud and loitering, flagged in real time and routed to the managers who can act on it.

RoleFull-Stack Developer
Status100+ stores monitored
DomainRetail loss prevention · CV
ShapeRealtime vision pipeline
Plexor surveillance dashboards
The Brief

Catch shrinkage while it's happening.

Retail shrinkage from employee & customer theft and POS under-ringing is hard to catch live. Plexor is a multi-camera computer-vision platform that detects it in real time and routes prioritised alerts to store and district managers.

Theft detection across employees & customers
Phone-usage & loitering alerts with live recording streams
Visual POS & under-ringing detection
Flash — an AI loss-prevention assistant over the event stream
Architecture & Stack

Realtime vision pipeline, role-scoped delivery.

Store CamerasMulti-camera NVR
AWS KVSStream ingest
CV InferencePyTorch · OpenCV · OpenAI
Event PipelineAlert routing
DashboardsRole-based access
Stack
Frontend
Next.jsMantine
Backend
Node.jsFastifyPython
Cloud
AWSEKSLambdaS3KVS
AI
PyTorchOpenCVOpenAI
Key Decisions
01Realtime multi-camera streaming over AWS KVS for low-latency feeds
02Model serving on EKS for scalable GPU inference
03Role-scoped dashboards for store, district & admin views
Walkthrough

Inside the product.

Loss-Prevention Console · Web
Plexor live recording streams
Live recording streams
Plexor multi-camera grid
Multi-camera live grid
Plexor theft queue
Theft queue & AI validation
Plexor phone usage detection
Phone-usage detection & review
Plexor visual POS
Visual POS & under-ringing flags
Plexor Flash AI assistant
Flash — AI loss-prevention assistant
100+Stores monitored
~700msRealtime inference
37+Detection models

Surfaced theft and POS under-ringing events in real time across monitored stores, routing prioritised alerts to the managers who could act on them.

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