Face Recognition Software

• Viseum Facial Recognition Software optimises any network of cameras. Automatically detects and recognises faces from short range to long range. Greater distance than any other Facial Recognition Software.
• Reliable face matching and verification in real-world deployments, with accuracy measured against a documented test set.
• Automatically create and grow your secure database of faces and watchlists. From matching just a few hundred faces to recognising many millions in near real time.

Best Face Match Software and Face Recognition Analytics

Our facial recognition software, supplied as part of a Viseum system, can also use our unique long-range 360 Security Camera. The only computer vision camera to automatically capture and analyse faces in all directions at the same time. Up to a complete 360° of highly populated, complex and challenging environments. It uniquely follows people until their faces are captured. It recognises the faces of high-risk suspects, even if they hide their faces when approaching security cameras. Compared to any other camera, just one Viseum camera automatically captures:

• 100 times more faces.
• Over 15 times more incidents.

“There are virtually unlimited video surveillance applications when trained to use Viseum’s Video Software Analytics. When using Viseum F3 cross-checking software with Viseum Face Recognition Software Technology Services, authorised operators can locate and follow a person on an approved watchlist.” (President of the Viseum UK Group and CEO of Viseum International Limited)

Wider uses of face analysis

• Identifying dangerous people who could commit assault.
• Social services can notice the differences between people under their responsibility.
• Supporting authorised safeguarding work with vulnerable families, always confirmed by a trained operator.

“Imagine if you can tell if a person is lying or feeling guilty about something.” (UK video surveillance working group).

Software accuracy – Face Recognition operational performance

Face Recognition Datasheet

Face Matching: 7 pixels between the eyes minimum.

Real-World Environment Test Set: Matching Accuracy, 99.5% under test conditions. Accuracy in operation depends on camera position, lighting and image quality.

Typical high-security application – Suspicious behaviour

Some of our automated national security Surveillance Technology Strengths are to uniquely match people using different visual biometrics. It cross-checks each match against the person’s actions, locations and access control records, and then follows them automatically. Basic Example: A person walking through a customs border consistently hides their face when passing security cameras. This can be automatically alarmed as high-risk suspicious behaviour. The unique Viseum 360 Security Camera automatically follows them to capture and cross-check their faces against databases of wanted suspects.

Face Recognition Software – Proven out in the field

1. The Viseum Face Recognition Software was recently tested by a major financial institution in London. They compared it with another well-known face recognition system they already had in use. This customer highlighted significant advantages, with accuracy, system design and operational benefits of the Viseum Face Recognition Software Technology Services.

2. A major international hotel chain in the UK also tested it. The Viseum Face Recognition System was left on 24 hours a day to detect and identify persons entering and leaving their hotel entrances. Viseum automatically captured and re-identified an average of 270,000 faces every 3 days per hotel. It automatically matched captured faces against the hotel’s register of guests. The customer confidently tested a webcam for their hotel’s ATM. In that trial it recognised registered guests at the ATM and flagged all other users for staff to check.

3. In a separate shopping centre deployment during a peak trading period, Viseum Face Recognition Software Technology Services re-identified faces across the full range of skin tones present. We test match rates across skin tones under a documented methodology, and we publish that method on request.

Viseum Face Recognition Software Technology Services displayed excellent accuracy for its unique partial face identification capability. Partial face matching is a core part of our approach, and it runs alongside conventional full face matching.

How Viseum Face Recognition works

Viseum Face Recognition Software Technology Services captures images of people and detects the faces in the image. From the full scene it captures, stores and indexes each facial image and personal information. Multiple still images are captured of each person to build a better profile in the database. This also lets our video analytics software anticipate a changing appearance, e.g. glasses, beard or ageing.

Our integrated software systems use a web protocol, indexing and facial matching platform. Also, this data management expertise allows Viseum Face Recognition Software Technology Services to automatically identify faces from any camera in the network. It automatically opens the pre-configured comparison database table of captured images. This helps with network design and operational performance. This supports enrolling new faces into the system. Registered faces and live captured faces are investigated to prevent false system enrolment.

Viseum Face Recognition network capacity – Design

Facial recognition software, database technology, and centralised and/or decentralised flexible system architecture. There is no limitation on the number of faces to manage. Or the size of the security network. Unlimited registered faces are tracked from any number of internal and/or external watchlists.

Face Recognition National Security data protection law compliance

Many countries’ data protection legislation requires a human review step rather than a fully automated decision. Viseum Face Recognition Software Technology Services allows the user to manually compare faces from the database with the face just captured.

National Security and high-security – Face Recognition uses

Viseum’s Facial Recognition Software is used for high-security threats:

• Finding and following persons of interest and missing people.
• Authorised access to highly sensitive areas.
• Border and Perimeter Surveillance.
• Bank ID checks (ATM, cash in transit, etc).

How face recognition software works

Face recognition software compares a face seen by a camera with faces on a watch-list. It suggests a possible match, and a trained operator decides what happens next.

Detection. The software finds faces in the camera picture. It measures each face for quality: how far the head is turned, the light, the sharpness and the size of the face in the picture. Only faces of good enough quality go forward to be compared.

Template. A usable face is turned into a template, a set of numbers that describes it rather than a photograph.

Matching. The template is compared with the templates of people on a watch-list, and each comparison gives a score. If a score passes the alert level that the customer has set, the system raises an alert.

Authorised watch-lists and nothing else. Matching runs against watch-lists that the customer is lawfully authorised to hold, such as wanted suspects or missing persons. A face that does not match raises no alert, and the customer sets how long such data is kept, in line with its own law.

The operator decides. The software never acts by itself on a match. It shows the operator the camera image beside the watch-list image. The operator checks them and decides whether to send an officer, ask for more video or close the alert.

What affects accuracy. Camera position, lighting and image quality matter most. A camera that turns and zooms to capture a full face gives the software a better image. A fixed camera often sees a turned head.

Frequently asked questions

How does facial recognition software work?

It finds faces in a camera picture, checks each one for quality and turns a usable face into a template of numbers. It compares that template with templates on an authorised watch-list and gives a score. A score above the set alert level raises an alert, and a trained operator decides what to do.

What is the difference between face recognition and face identification software?

The terms are often used for the same thing. Strictly, verification checks that a person is who they claim to be, one face against one record. Identification compares a face with a whole watch-list to find a possible match. In surveillance, identification against an authorised watch-list is the usual task.

Whose faces does face recognition software compare?

In a lawful deployment, it compares faces with a watch-list that the customer is authorised to hold, such as wanted suspects or missing persons. A face that does not match raises no alert. The customer sets how long any non-matching data is kept, under the law that applies to it.

How accurate is face recognition software?

Accuracy depends on the software, the camera position, the lighting and the quality of the face captured. An operator checks every match.

Viseum Face Recognition Software Technology Services Facial Recognition Technology changing lives

Why does the camera matter as much as the software?

Software can only match the faces it is given. A Viseum camera follows each person and zooms in until a usable face is captured, which is why it captures many more faces than a fixed camera.

Is it lawful?

Viseum matches faces only against a watchlist the customer is lawfully authorised to hold, and every match is reviewed by a trained operator before anyone acts.