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# Reading a parking lot from live video

**Client**: Hexavision

**Type**: Computer vision proof of concept

**Scope**: Real-time video analysis, deep learning, mobile analytics app

**Result**: 95% accuracy on the first attempt

![A parking lot seen from directly above, rows of parked cars between painted stalls.](https://digitalbrain.net/assets/hexavision-cover-320.jpg)

The subject: a parking lot, seen from above

The brief

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

## The idea

The company wanted its cameras to answer three questions: how many cars entered the lot, how long they stayed, and how many drivers paid. With those numbers, landlords and property managers could calculate stall usage, earn from underused space and run the lot better.

## What we did

Using computer vision and deep learning, we built an advanced proof of concept that analyzes video feeds in real time to detect vehicle movement, with the analytics delivered in an AI-enabled mobile app. It pairs low-cost hardware with custom software.

## The result

Our first attempt reached a 95% accuracy rate.

[Next project Level Two Detroit A mobile‑first site for a Greektown lounge.![The Level Two Detroit website today: Food, Bar, Rooftop beside the lounge's own photography.](https://digitalbrain.net/assets/leveltwo-site-900.jpg)![Level Two Detroit on a phone, with call, map, reservations, food and drink in a bottom bar.](https://digitalbrain.net/assets/leveltwo-mobile-200.jpg)](https://digitalbrain.net/work/level-two/)

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