The Model Layer: What Proglint Actually Understands.
Vision AI is the layer that turns a video frame into structured meaning — a person, a product, a process step, a transaction event, a piece of equipment, an environmental condition. It is a library of 75+ purpose-built detection models, not one general-purpose model asked to do every job.
Six Intelligence Domains
Every Detection Model Belongs to One of Six Domains
Rather than a grab-bag of unrelated features, the model library is organized around what it is actually looking at on the floor.
PEOPLE
Footfall, Demographics & Customer Bounce
Track visitor traffic, age/gender estimation, table occupancy dwell times, and flag customer bounce (customers exiting without purchase).
PRODUCTS
Shelf Intelligence, OOS & Stock Count
Real-time empty shelf detection, mobile inventory stock verification, out-of-stock alerts, and planogram compliance.
PROCESSES
Handwash SOP & Machine Utilization
Enforce handwash sanitization SOPs, vessel cleaning protocols, equipment maintenance, and 24/7 machine active/idle state tracking.
TRANSACTIONS
POS Sync, UPI Verification & Void Alerts
Detect food prepared/served without POS bill generation, reconcile UPI digital payments, and monitor unauthorized cash till access.
EQUIPMENT
Drive-Thru Timers & Machine States
Track end-to-end drive-thru vehicle journey, order serving performance, conveyor speed, and equipment maintenance status.
ENVIRONMENT
6-Point PPE Safety & Intrusion Alerts
Audit 6-point PPE compliance (Helmet, Goggles, Mask, Gloves, Uniform, Shoes), spill hazards, un-mopped floors, and non-business hour intrusion.
In Production
Products Built on the Vision AI Engine
The model library isn't a standalone research artifact — it's the detection layer inside every Proglint product.
VizStore™
Real-Time Store Operations & Customer Intelligence Engine
VizMetrix™
Drive-Thru, Kitchen Performance & Quality AI Platform
Smart Checkout AI™
Self-Checkout Loss Prevention & Barcodeless Cognitive Checkout
Enterprise Command Center™
Single Pane of Glass Across Stores & Assembly Lines
Purpose-Built Detection Models
Custom-trained object detection models built per use case — attribute extraction, PPE verification, OCR — rather than one generic model stretched across every problem. Each of the 75+ production algorithms in the library is scoped to a specific operational signal.
“A model trained for one job outperforms a general model asked to do many.”
Multi-Object Tracking & Identity Continuity
Object tracking maintains consistent identity across frames — the foundation for anything that depends on duration or journey, from queue dwell time to end-to-end drive-thru vehicle tracking.
“Detecting an object in a frame is different from knowing it is the same object as five seconds ago.”
Vision AI is the model layer — it decides what is in a frame. It runs on infrastructure defined by Edge AI, over streams handled by Computer Vision Infrastructure, and every model in the library is documented in the Algorithm Library.
Deploy Proglint Vision AI Engine
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