---
lang: en
title: "Staff presence and role monitoring with uniform detection"
url: https://nabrio.com/use-cases/staff-presence-monitoring
canonical: https://nabrio.com/use-cases/staff-presence-monitoring
updated: 2026-10-27
publisher: Nabrio Co., Ltd. (nabrio.com)
---

# Staff presence and role monitoring with uniform detection

Nara counts how many staff are on duty at any moment, and tells managers, staff and customers apart by matching uniforms with its re-identification node, so no model training is needed. Operators compare staffing with demand and standards, and get an alert when it drops below the minimum.

- Sectors: [Retail](https://nabrio.com/industries/retail.md), [More sectors](https://nabrio.com/industries/more-sectors.md)
- What it takes: Ready to configure. Works with Nara’s built-in models. You set up the zones, rules and outputs.
- Products: [Nara](https://nabrio.com/nara.md)

## The problem

Staffing must match demand and standards, but managers lack a real-time view across stores.

## How it works

- **Input:** In-store cameras
- **Process:** People detection; ReID matches each person against reference images of each uniform
- **Action:** Staff counts per role over time, with an alert when below the minimum

Nara detects and tracks people in the store. Its ReID node compares each person with reference images of each uniform, such as manager and staff, and everyone else counts as a customer. Counts per role are stored over time and shown on dashboards, and an alert goes out when staffing drops below your minimum.

## What you need

- In-store cameras
- Reference images of each uniform
- A PC or edge device running Nara in the store

## Nara building blocks

- Camera nodes
- People detection
- Tracker with zone counts
- ReID with reference images per uniform
- Database table
- Dashboard
- Notifications

AI models: [People detection](https://nabrio.com/nara/ai-models.md), [Person re-identification (ReID)](https://nabrio.com/nara/ai-models.md)

## What it improves

- Staffing against demand
- Service standards
- Labour cost visibility across stores

## Where it runs

- [120+ cameras and 20+ AI capabilities in one mall system](https://nabrio.com/customers/shopping-mall-ai-vision.md) (A shopping mall in Bangkok)
- A global quick-service restaurant brand is piloting this to count managers, staff and customers in its restaurants.

## Frequently asked questions

### Do we need to train a model for our uniforms?

No. You add reference images of each uniform, and Nara’s ReID node matches people against them.

### Does any video leave the site?

No. Nara processes video on your own hardware. Data is sent elsewhere only if you build a flow that sends it, for example an alert to your own MQTT broker.

## Related use cases

- [Queue monitoring](https://nabrio.com/use-cases/queue-monitoring.md)
- [People counting](https://nabrio.com/use-cases/people-counting.md)
- [Visitor demographics](https://nabrio.com/use-cases/visitor-demographics.md)

Talk to us about staff presence monitoring: sales@nabrio.com. [Download Nara](https://nabrio.com/download.md).