Hexavision

Tracking parking lots with real-time video analysis

The Challenge
Develop a real-time video analysis system for monitoring and managing parking lots

Leveraging AI to monetize underutilized assets

Simplifying the monitoring and management of the parking lot, the company wanted to analyze video feeds to determine how many cars entered their parking lot, how long they stayed, and how many drivers paid for the parking spot. Once in operation, the detailed analysis could be used to calculate stall usage, enabling landlords and property managers to monetize underutilized assets and improve operations.

Using computer vision and deep learning technologies, Digital Brain developed an advanced proof-of-concept for analyzing video feeds in real-time to detect vehicle movements in parking lots, providing detailed analytics via an AI-enabled mobile app. Combining low-cost hardware and a custom software solution, Digital Brain’s first attempt achieved a 95% accuracy rate.