Shopping centres and retail
Search recorded footage to find a person in a busy shopping area using their clothing or the bags they were carrying.
AnonymousPersonID
Find someone in recorded CCTV footage without knowing their name. Upload your videos and search on what the person was wearing and what they were carrying
AnonymousPersonID · workspaceRecordings uploaded
uploaded-cctv-footage.mp4no markings
- Uploaded
- Followed
- Records
- Details
- Searchable
Saved for each person
- Snapshotwaiting
- Clothingwaiting
- Belongingswaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
What it is
Search recorded CCTV footage by appearance
AnonymousPersonID helps security teams find and review people in recorded CCTV video without needing to know their name or any personal details. You upload one video or several, and the software builds an organised record of the people it finds, each with a snapshot, the colour of their clothing and any belongings they were visibly carrying. Finding that person again later becomes a search rather than a second viewing.
It replaces the part of an investigation where somebody sits and watches hours of recordings hoping to spot the right person.
A person can be found without knowing their name. The search runs on what they were wearing and what they were carrying.
- Upload video from one CCTV camera or several for review
Recorded footage
Upload video from one CCTV camera or several for review
- Find a person by clothing colour or the belongings they carried
Appearance search
Find a person by clothing colour or the belongings they carried
- A snapshot and visible details saved for every person found
Person records
A snapshot and visible details saved for every person found
- Review people across recordings from different parts of a site
Footage from many areas
Review people across recordings from different parts of a site
How it works
How AnonymousPersonID works
- 01
Your recordings go in
Recorded CCTV video from one camera or several is taken in together.
- 02
People are followed through the footage
Each person is kept track of as they appear across the recordings.
- 03
Everyone gets their own record
Each person found is given a separate record inside the processed footage.
- 04
Visible details are saved
A snapshot is stored alongside details such as clothing colour and the bags or cases the person was carrying.
- 05
The footage becomes searchable
The records are organised so a person can be found later by appearance or by belongings.
AnonymousPersonID · workspace01 Your recordings go in
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Your recordings go in
Recorded CCTV video from one camera or several is taken in together.
- 02
People are followed through the footage
Each person is kept track of as they appear across the recordings.
- 03
Everyone gets their own record
Each person found is given a separate record inside the processed footage.
- 04
Visible details are saved
A snapshot is stored alongside details such as clothing colour and the bags or cases the person was carrying.
- 05
The footage becomes searchable
The records are organised so a person can be found later by appearance or by belongings.
Product exclusiveness
What sets AnonymousPersonID apart
People tracked for you
- Point at a row to light its area
Interface simulation: an illustration of the workflow, not a live analysis
Market comparison
AnonymousPersonID compared with reviewing CCTV by hand
Finds people in uploaded footage
- Reviewing CCTV by hand
- No: Watched by a person
- AnonymousPersonID
- Yes: Done for you
Keeps a separate record for each person
- Reviewing CCTV by hand
- No: Not available
- AnonymousPersonID
- Yes: Supported
Saves a snapshot of each person
- Reviewing CCTV by hand
- Partly: Limited
- AnonymousPersonID
- Yes: Supported
Search by clothing colour
- Reviewing CCTV by hand
- No: Not available
- AnonymousPersonID
- Yes: Supported
Search by visible belongings
- Reviewing CCTV by hand
- No: Not available
- AnonymousPersonID
- Yes: Supported
Handles footage from several cameras
- Reviewing CCTV by hand
- Partly: Limited
- AnonymousPersonID
- Yes: Supported
Helps locate someone in a crowd
- Reviewing CCTV by hand
- No: Not available
- AnonymousPersonID
- Yes: Supported
Reduces time spent on recordings
- Reviewing CCTV by hand
- No: Watched in full
- AnonymousPersonID
- Yes: Supported
Works without knowing a name
- Reviewing CCTV by hand
- Yes: Supported
- AnonymousPersonID
- Yes: Supported
The architecture
One recording in, a record per person out
- Uploaded recordingFrom one CCTV camera
- Uploaded recordingOr several, taken in together
- Uploaded recordingRecorded, not live
Recorded footage
A record per person
People followed, then described
- People kept track of through the recordings
- Each person found given a separate record
- A snapshot stored with visual details
- Clothing colour and belongings carried
No names involved
A person is found by what they wore and carried, not by identity.
- Searchable afterwardsBy appearance or belongings
- Person recordsOrganised for review
Use cases by sector
Where organisations put it to work
Airports and transport hubs
Review recordings from different areas to locate a passenger using visible details such as clothing and luggage.
How the sector deploys itCorporate offices
Review recorded footage and locate people who have moved through different parts of a workplace.
Hotels and hospitality
Find and follow a person across recordings from common areas when their identity is not known.
Railway stations and public spaces
Help security teams locate a person within recordings of large crowds and busy public areas.
Warehouses and industrial sites
Review recordings from different sections of a large facility and locate people by appearance or belongings.
Events and large gatherings
Search recorded event footage to locate a person in a crowd using their clothing or visible belongings.
Deployment strategy
Upload the footage, and AnonymousPersonID does the review
01 · Upload the footage
Interface simulation: an illustration of the workflow, not a live analysis
Deployment model
AnonymousPersonID is built for recorded CCTV footage. You can upload video from a single camera or from several covering different areas, and it gives you one organised view of the people found across all of them.
Three things a footage search has to get right
What is kept about each person, how a search is actually run, and how much footage it reaches across
- Person records
- Every person found gets their own record with a snapshot and the details worth having, which is what makes them findable inside the recordings later.
- Search and review
- Once processing is done, teams search on a plain visual description instead of working through hours of CCTV by eye.
- Coverage across cameras
- Footage from several cameras can be uploaded and reviewed as one, so a person can be followed across recorded areas without opening each video separately.
Frequently Asked Questions
No. It works on recorded CCTV footage. You upload video from one camera or several, and those recordings are processed before a search can be run against them.
Yes. A person can be searched for on simple visual details such as the colour of their shirt or trousers, which makes it possible to find someone when their name and other personal details are unknown.
Each person found gets their own record holding a snapshot plus the visible details: clothing colour, and noticeable belongings such as bags, backpacks, suitcases and other accessories in view.
Yes. You can provide footage from several CCTV cameras, so people are reviewed across recordings from different areas instead of checking every video one at a time.
A crowd is where finding someone by eye is hardest. A search on the person's appearance or belongings narrows the processed footage down to the results worth reviewing.
After processing finishes. The recordings are turned into organised records first, and the search then runs against those records rather than against the raw video.
The rest of the line
More in Video Intelligence
Where it runs
Industries deploying AnonymousPersonID
Each sector page covers the threat model, the controls, and the regulators that apply.
See it score a real video
Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through the findings.