The Six Categories Every Operations Computer Vision System Should Track
People, products, processes, transactions, equipment, environment — most deployments only ever build for the first one.
Ask what a store or plant camera system tracks and the default answer is almost always "people" — footfall, dwell time, demographics. That's a real and useful category, but treating it as the whole scope of operational computer vision leaves most of the actual opportunity untouched.
Proglint organizes what a vision system can understand into six categories: People (presence, movement, behavior), Products (shelf presence, stock levels), Processes (SOP and workflow compliance), Transactions (physical activity correlated with POS events), Equipment (machine state and utilization), and Environment (safety, hygiene, access conditions).
Most of the highest-value use cases we deploy — bill-not-generated detection, SOP compliance, machine utilization reporting — live in the categories that get the least attention in a typical "people-counting" camera pitch. Treating vision as a single-purpose people-counting tool is the most common reason enterprises underestimate what continuous analysis on existing camera infrastructure can actually do.