Facial Recognition in Motion

Gunnebo in conjunction with Teravision are releasing the latest innovation in Facial Recognition, innovative technologies to protect people, information and assets. Gunnebo’s speed gates provide fast, reliable access control of your building’s entrance without compromising on security, while seamlessly blending into the aesthetics of the surrounding space.

Our technology has customisable logic with 12 programable relays for integrating to lifts CCTV etc. Now presenting integration with The Teravision series Embedded face recognition system. This is a unique face recognition algorithm, recognising face accurately and in real time.

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Key Features

Support Real Time Human Body Detection.
Using Linux operating system, better system stability
Face recognition algorithm to accurately recognize faces, face recognition time is less than 1s.
The camera uses H.265 Main Profile encoding, compatible with NVR and other storage devices through the ONVIF protocol.
From -35° C to + 60 ° C environment for long-term stable operation.
Support free switching 1:N/1:1 (IC card, QR code, ID card) recognition mode 1: N with 0.8s comparison efficiency.
Outdoor IP65 waterproof and dustproof.
Mean time between failures MTBF>50000 H.

Transformative technologies to protect people, information and assets

The visual identification solution incorporates a unique fusion of biometric technologies, hardware components and design features to provide fast, non-invasive and accurate identification for identity at the speed of life, identifying authorized users from a distance and in-motion. Increasing end user convenience while improving physical security is a core design principle and unique offering.

Optional antifraud algorithm pack can be employed to prevent usage of pictures of enrolled person by a non-authorized person, this whole process occurs while the individual is In-Motion.

I would recommend Gunnebo Speedstiles – they create security for staff and customers alike

Mats Larsson, Managing Director, ICA Maxi Lindhagen

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Main Requirements

Lighting: In motion identification requires an evenly distributed light on the face of the person at 200 Lux or over, without strong backlight.
Cabling, Network & Server infrastructure: An IP camera on the gate (speed stile) is used for every entry that supports visual identification.
Access Control: In motion identification can control gates directly or use optional IP to Weigrad convertors to integrate with existing/third party access control solutions.
Enrolment: To enrol in the visual identification solution, a picture must be taken for each user that would use the solution.

Benefits

Support for AD file playback.
Support PIR human body sensing wake-up function.
Support TF card storage, pictures are stored continuously for 1 year, video is stored continuously for 7 days.
Support 65000+ face matching library and 500,000 face recognition records.
Rich interface protocol, support SDK and HTTP protocol under various platforms such as Windows/Linux.
Support machine vision optical wide dynamic ≥120dB, suitable for backlit environment monitoring.
Support tracking of personnel movements under strong backlight conditions.
The host supports an external ID card reader.
The host supports the Wiegand interface to connect with the personnel gate and the access control host and acts as a face recognition reader.

Main Requirements

Benefits

Lighting: In motion identification requires an evenly distributed light on the face of the person at 200 Lux or over, without strong backlight.
Cabling, Network & Server infrastructure: An IP camera on the gate (speed stile) is used for every entry that supports visual identification.
Access Control: In motion identification can control gates directly or use optional IP to Weigrad convertors to integrate with existing/third party access control solutions.
Enrolment: To enrol in the visual identification solution, a picture must be taken for each user that would use the solution.

Support for AD file playback.
Support PIR human body sensing wake-up function.
Support TF card storage, pictures are stored continuously for 1 year, video is stored continuously for 7 days.
Support 65000+ face matching library and 500,000 face recognition records.
Rich interface protocol, support SDK and HTTP protocol under various platforms such as Windows/Linux.
Support machine vision optical wide dynamic ≥120dB, suitable for backlit environment monitoring.
Support tracking of personnel movements under strong backlight conditions.
The host supports an external ID card reader.
The host supports the Wiegand interface to connect with the personnel gate and the access control host and acts as a face recognition reader.

Download Datasheet BIM Models

Facial Recognition in Motion