When Pixels Become Decisions: Rethinking Parking Through Applied Video Intelligence

Parking operations increasingly rely on cameras, yet turning visual data into reliable operational insight remains a challenge. Raw video streams are difficult to scale, hard to interpret consistently, and often disconnected from decision-making processes.

This session examines how applied video intelligence can address these challenges by transforming visual inputs into structured, decision-ready data. It introduces common data-collection approaches (fixed cameras for continuous monitoring and mobile, vehicle-based acquisition for broader coverage) and explains how computer vision techniques extract relevant signals such as vehicle presence, usage patterns, and compliance events.

A focused use case highlights EV charging compliance, a growing operational problem as charging infrastructure expands. The session explores how camera-supported monitoring can help identify misuse, track compliance trends, and support fair, scalable enforcement.

Attendees will gain practical insight into where video intelligence creates value for both operators and parkers alike, recognize its limitations, and learn the key factors for a successful real-world implementation.