Face Recognition Software

“The best face recognition software.” (Metropolitan Police)

AI Facial Recognition Software from Viseum®

“Viseum’s facial recognition system has become essential for daily life, just as Automatic Number Plate Recognition (ANPR).” Viseum iVOS FaceRec™ Human-Centred Face Recognition AI Software Technology Services.

Viseum Facial Recognition Software optimizes any network of CCTV cameras. Automatically detect and recognize faces from short range to long range. Greater distance than any other Facial Recognition Software.
Reliable face matching and verification with 4 times greater accuracy than any other Facial Recognition Software, in real-world deployments.
Automatically create and grow your secure database of faces and watchlists. From matching just a few hundred faces to recognizing many millions in near real time.

Best Face Match Software and Face Recognition Analytics

Our facial recognition software can also use our unique long-range 360 Security Camera. The only computer vision CCTV 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. Recognizing faces of high-risk suspects. Even if they hide their faces when approaching CCTV 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 operating with Viseum FaceRec you can find and follow anyone.” (Viseum UK Group President)

Ethical AI CCTV surveillance and data privacy

Patented step change in CCTV surveillance privacy Stronger CCTV security, deeper surveillance and investigations. But ...
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Face Recognition Camera

Fully automated Face Recognition Camera from Viseum® Captures 100 x more faces. Over ...
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Facial Recognition Software – General use for regional and National Security

Supporting Safe Cities, people can be automatically allocated to and checked against red, black and green security watchlists. For alerting National Security staff and to be followed automatically. Example 1 – A VIP or a suspect can be automatically followed through a city. Live incidents and events are sent to security staff as alarms or situational awareness. Example 2 – For the most effective Border Security. Allow and disallow people and vehicles through certain areas, without creating delay. The optimized flow of people, vehicles, faces and identity checks through areas of a security enterprise. Using an effective balance of the remote site’s day-to-day operations and security threats.

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%.

Artificial intelligence performance enhancements

Automated alarm reporting is optimized using Viseum iVOS Adaptive Deep Learning Algorithms. This enables CCTV operatives to intuitively characterise alarms to automatically adapt the system’s algorithms.

Face Recognition Camera & Software using Social Media Investigations - Anti-Terror CCTV Training

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Border Control and Border Security - Viseum Global F3 National and International Security

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Typical high-security application – Suspicious behaviour

Some of our automated national security Surveillance Technology Strengths are to uniquely match people using different visual biometrics. To cross-check this information to their actions, locations and any access control information. To automatically follow them. Basic Example – A person walking through a customs border consistently hiding their face when passing CCTV 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

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 iVOS FaceRec software.

A major international hotel chain in the UK. 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. Automatically matching the hotel’s register of guests with a 97.8% accuracy.

Shopping mall’s highest seasonal period, Viseum FaceRec re-identified 758 faces from all skin colours. Our nearest competition collected and identified only 187 white faces. The customer confidently tested a webcam for their hotel’s ATM machine. With 100% accuracy, it allowed only the hotel’s residents to use it.

Viseum iVOS FaceRec software displayed excellent accuracy for its unique partial face identification capability. No other Face Recognition technology can detect parts of faces or with momentary facial expressions.

Some select iVOS FaceRec customer references

Viseum FaceRec software is currently in use in various parts of the world and in various industries including:

Olympics Development Agency (ODA).
World Cup Stadiums.
MFO (Multinational Force & Observers) – Supervising the implementation of the security of the Peace Treaty between the Arab Republic of Egypt and the State of Israel.
Brazilian Military Police.
South African International Hotels.
Elbit Systems.

How Viseum Face Recognition works

Viseum FaceRec System 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 on the database. Also for our video analytics software to anticipate a changing appearance e.g. glasses, beard, ageing, etc.

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

Viseum Face Recognition network capacity – CCTV Design

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

Viseum Facial Recognition video surveillance system incorporates:

Gigapixel Analytics 360° Face Recognition Camera

Multiple face matching algorithm cross-check system – for best accuracy.
Fast and easy searches of multiple databases simultaneously.
Integrates with the Viseum 360 CCTV Camera – captures face images up to 100 m and in every direction up to 360°.
Automated person identification and re-identification with automated face recognition.
Any number of face databases, tracking logs and watchlists.
Real-time face detection, indexing and verification from multiple live and recorded video sources.
Real-time/offline face match/enrolment.
Secure web reporting capability (text, email, audio/visual alarms).
Automatic face assignment to person profiles.
External API available for integration into other systems.
Digital Input/Output for face matching event alarms.

Face Recognition National Security data protection law compliance

Under many countries’ data protection legislation, there requires manual intervention as opposed to a totally automated procedure. Viseum FaceRec allows the user to manually compare faces from the database with the face just captured.