# Unattended objects · Use cases · Dscvry

> Apply Dscvry to unattended objects: watch camera feeds for bags and items left behind, trace who left them, and alert a responder with the clip.

Source: https://dscvryai.com/use-cases/unattended-objects/

# Who left this, and when?

Spot what’s left behind. Every bag. Every owner. Every minute it waits.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Unattended objects

## A bag on its own is easy to miss.

In a busy space, an unattended bag looks like any other. Operators watching a wall of feeds rarely see the moment it was left, or where its owner went.

### One bag, forty screens.

The feed that shows it is rarely the one being watched.

### The owner is already gone.

By the time someone notices, the person who left it is out of the camera’s view.

### False alarms wear people out.

Bags set down for a moment raise as many alerts as bags left for good.

## What the AI reads.

Every camera feed, watched for objects that stay put after their owner leaves, with the owner’s route kept as evidence.

### In

- Camera feeds
- Site layout
- Operating rules
- Staff roster
- Incident log
- Timetables

### At work

1. [Sense](https://dscvryai.com/technology/sense/) Watches every camera feed as it happens.
2. [Understand](https://dscvryai.com/technology/understand/) Tracks people and objects, and links each object to the person who left it.
3. [Check](https://dscvryai.com/technology/check/) Applies the dwell rule for each zone, so a bag at a café table isn’t treated like a bag on a platform.
4. [Anticipate](https://dscvryai.com/technology/anticipate/) Flags a bag as soon as its owner walks away, before the dwell limit is reached.
5. [Operate](https://dscvryai.com/technology/operate/) Alerts the nearest responder with the clip and the owner’s route.

### Out

One object watch. Every alert carries its clip.

## Every object. Every owner. Traced.

Control-room operators see what has been left, for how long and where its owner went, before they decide what to do.

Object watch · Why it's an alert · Incident record ·

Object watch · Waiting hall · 14:02 Illustrative

**9** attended · **1** watch · **1** alert

| Track | Object | Status | Owner | Camera |
|---|---|---|---|---|
| Waiting hall | | | | |
| ID 22 | Bag, seat row C | Alert | Owner left through Exit B, 42 s ago | CAM 03 |
| ID 47 | Rucksack, bench 4 | Watch | Owner 18 m away, at the kiosk | CAM 04 |
| ID 58 | Holdall, bench 2 | Attended | Owner seated beside it | CAM 03 |
| ID 61 | Suitcase | Attended | Owner in the ticket queue | CAM 05 |
| Café & kiosks | | | | |
| ID 31 | Case, café table 6 | Attended | Owner at the counter; café dwell rule | CAM 07 |
| ID 40 | Luggage trolley | Attended | Owner beside it | CAM 07 |
| ID 66 | Shopping bags | Attended | Owner seated | CAM 08 |
| Gates & desks | | | | |
| ID 52 | Box, gate desk | Staff | Staff item in the desk zone | CAM 11 |
| ID 70 | Buggy | Attended | Owner at the gate | CAM 12 |
| ID 73 | Case, gate 14 | Attended | Owner in the boarding queue | CAM 12 |
| ID 75 | Rucksack | Attended | Owner seated | CAM 12 |

Illustrative example. Site, cameras, tracks and times are fictional.

## Built to watch responsibly.

Watching people is sensitive. The AI is designed around that from the start.

### Movement, not identity.

It follows objects and the routes of the people who left them. No face recognition by default.

Security & trust
https://dscvryai.com/security/

### Runs beside the cameras.

On-premise or at the edge. Footage never has to leave the site.

Deployment options
https://dscvryai.com/#deployment

### Every alert can be checked.

The clip, the track and the rule travel with every event.

Video intelligence
https://dscvryai.com/technology/sense/video/

## Same records. Other problems.

The same cameras answer other questions too.

What here isn’t safe?

### Safety checks

Flag what’s unsafe or incomplete.

See how →
https://dscvryai.com/use-cases/safety-checks/

Which animals passed, and are they hurt?

### Wildlife monitoring

Identify species, spot injuries and flag poachers from camera traps.

See how →
https://dscvryai.com/use-cases/wildlife-monitoring/

Is this part defective?

### Defect inspection

Catch defects on the line, not at the customer.

See how →
https://dscvryai.com/use-cases/defect-inspection/

More in Security
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us an hour of footage.

We’ll show you what the AI sees in it, and what it would have flagged.

[Talk to us →](https://dscvryai.com/contact/?topic=Unattended%20objects%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India