---
title: "Parking and space occupancy from cameras: AI Use Case"
description: "Use existing cameras to count which spaces are free or occupied and feed the count to signage, an app or a dashboard, with people checking anything unusual."
url: https://lidvizion.ai/use-cases/parking-and-space-occupancy/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Facilities & operations

# Parking and space occupancy from cameras

Use existing cameras to count which spaces are free or occupied and feed the count to signage, an app or a dashboard, with people checking anything unusual.

[Talk through this workflow](https://lidvizion.ai/contact/?need=milestone-delivery&from=%2Fuse-cases%2Fparking-and-space-occupancy%2F#write) · [Build the missing piece](https://lidvizion.ai/services/custom-software/)

Where it starts

## The trigger.

People or staff need to know where space is available, now.

How it runs today

- Staff walk the site or guess from experience.
- Visitors circle looking for space.
- Nobody has reliable occupancy data to plan with.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Capture
   Existing or added cameras cover the spaces to monitor.
2. 02 / Detect
   A vision model marks each space as free or occupied at a set interval.
3. 03 / Publish
   Counts feed signage, an app or a dashboard.
4. 04 / Review
   Low-confidence frames and camera faults are flagged to a person.

Where people stay in control

## Approval points.

- Staff review flagged frames and camera outages.
- Faces and plates are not stored unless there is an approved reason.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Agreement between counts and spot checks.

### Time spent checking space manually.

### Occupancy data available for planning.

Related

## Go deeper.

- [Build the missing piece](https://lidvizion.ai/services/custom-software/): Custom tools and applications for the gaps that matter.
- [Vision analytics](https://lidvizion.ai/work/#vision-analytics): Detection models that turn camera feeds into operational signals — which spaces are occupied, what is present, and what changed.
- [What is computer vision?](https://lidvizion.ai/resources/basics/what-is-computer-vision/): Software that turns images and video into structured information a system can act on.
- [Use your existing cameras for computer vision](https://lidvizion.ai/guides/use-existing-cameras-for-computer-vision/): A four-step playbook to test whether the cameras you already have can answer a counting, occupancy or safety question before you buy any new hardware.
- [How to measure occupancy and crowd flow with computer vision](https://lidvizion.ai/answers/how-to-measure-occupancy-with-computer-vision/): How can a business use cameras to count people, vehicles or free spaces without tracking who anyone is?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Street asset defect reports from routine drives](https://lidvizion.ai/use-cases/street-asset-defect-reports/): Facilities & operations Use images captured on routine drives to flag likely road, sign and street-furniture defects with a location, so an inspector confirms each one and real defects become work orders.
- [Facilities work order intake and dispatch](https://lidvizion.ai/use-cases/facilities-work-order-intake/): Facilities & operations Turn maintenance requests from email, forms and chat into complete work orders, set a priority, and route each one to the right technician or vendor for approval.
- [Daily work order brief](https://lidvizion.ai/use-cases/daily-work-order-brief/): Facilities & operations Summarise open work orders each morning, highlighting overdue, blocked and safety-related jobs and what is waiting on parts, permits or access, so supervisors start the day with a short list of what needs a decision.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)