David Segura
ES
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Aforix

Real-time space occupancy classification with computer vision

Computer VisionTensorFlow.jsTeachable MachineNext.jsReal-timeB2B

Aforix

Aforix is a computer-vision system that classifies the real-time occupancy level of physical spaces — empty, partial, full — and turns that into actionable alerts and operational intelligence for staffing decisions.

The problem

Health and financial-service companies assign personnel manually or by intuition, producing long waits at peak hours and idle staff in quiet windows.

The approach

LayerChoice
CameraIP cameras, frame capture every 10–30s
ModelTrained in Teachable Machine, exported to TensorFlow.js
BackendNext.js + Postgres + alerting webhooks
DashboardReal-time tiles per branch and historical reports

Designed for healthcare (waiting rooms), banking (teller queues), and government services (citizen-care offices). The classification ladder maps directly to recommended actions for the operator on duty.

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