Aquila Digital Optics
ADO THERMAL Facial Recognition & Access Control

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  • ADO-TFRS-AC Facial Recognition and temperature monitoring system (with smart recognition algorithms), that allows for wearing face masks, glasses etc.
  • Product Features
  •  Rugged design, stable proven platforms, waterproof, suitable for indoor / outdoor use.
  •  The HD, wide angel dynamic camera, uses automatic exposure technology to ensure the best possible facial recognition, automatically adjusting for various lighting conditions and environments
  •  The system uses advanced self learning algorithms and supports the storage of 20000 individual faces on its onboard databases. It has very high recognition speed and accuracy
  •  The system uses MVLVA (monocular visible light living algorithm), with rejection of ”person not present photos and videos”
  •  The System also supports a variety of recognition modes:
  •  Face only
  •  ID card only
  •  Face and card / swipe card
  •  Intelligent (face, ID card / swipe card and auto automatic switching)
  •  Network and USB supports for the uploading of ID cards and face data, as well as a stand-alone operation
  •  Supports real time data comparison of captured photos / ID’s of the System across networks
  •  Access control can be affected by issuing the stand alone platform or importing the unique identities or facial images locally. After comparing the results locally, the results can be uploaded to a network and data bases. Unique identification documents can be utilised in conjunction with or as stand-alone verification.
  •  The System supports local login and management, query and setting of System parameters on a menu driven platform. Data import and export can also be done through the U disk system.
  •  USB interface, external ID card reader and optional internal ID card reader
  •  The System can be set to give a fixed voice prompt following authentication or Rejection
  •  The System supports relay switching and supports the external access control host or Wigan card reader through Wigan protocol (W26 \ W34)
  •  Facemask facial recognition is supported for facial identification.
  •  Support external infrared temperature measurement module, resolution: 32 x 32, temperature with an accuracy: ± 0.3⁰ C


ADO-TFRS-AC Facial Recognition and temperature monitoring system (with smart recognition algorithms), that allows for wearing face masks, glasses etc.

ADO-TFRS-AC Face recognition and temperature monitoring system

is a high-performance, highly reliability face recognition, human body temperature measurement and access control linkable product.

Utilising a fast learning algorithm, the product is optimized for various skin colours,

with fast recognition speed and high accuracy.

The system supports face recognition, and record comparison, access card verification

and other single or multiple combination verification methods.

 

In Combination with the face recognition, the product rapidly detects the human body temperature and reports it. Compliance to preset values can be programmed for an access system or automated alarms / announcement’s, The Unit / Units can be applied for management and control of multiple during entry or exit.

Application is NON-CONTACT varied and adaptable i.e. Residential / Industrial Estates, Factories, Public Transit points, Office Buildings, etc.

 

Features: body temperature screening during the epidemic, accurate measurement of body temperature (error less than 0.3 deg), self-setting alarm temperature value.

Test distance: within 1.5m.  Data integrated totally paperless to databases allowing tracing of people, making it easier to trace cross infection.

Product Features

  • Rugged design, stable proven platforms, waterproof, suitable for indoor / outdoor use.                                                                                                                   
  • The HD, wide angel dynamic camera, uses automatic exposure technology to ensure the best possible facial recognition, automatically adjusting for various lighting conditions and environments           
  • The system uses advanced self learning algorithms and supports the storage of 20000 individual faces on its onboard databases. It has very high recognition speed and accuracy           
  • The system uses MVLVA (monocular visible light living algorithm), with rejection of ”person not present photos and videos”           
  • The System also supports a variety of recognition modes:
    • Face only
    • ID card only
    • Face and card / swipe card
    • Intelligent (face, ID card / swipe card and auto automatic switching)           
  • Network and USB supports for the uploading of ID cards and face data, as well as a stand-alone operation           
  • Supports real time data comparison of captured photos / ID’s of the System across networks           
  • Access control can be affected by issuing the stand alone platform or importing the unique identities or facial images locally. After comparing the results locally, the results can be uploaded to a network and data bases. Unique identification documents can be utilised in conjunction with or as stand-alone verification.       
  • The System supports local login and management, query and setting of System parameters on a menu driven platform. Data import and export can also be done through the U disk system.          
  • USB interface, external ID card reader and optional internal ID card reader          
  • The System can be set to give a fixed voice prompt following authentication or Rejection           
  • The System supports relay switching and supports the external access control host or Wigan card reader through Wigan protocol (W26 \ W34)           
  • Facemask facial recognition is supported for facial identification.           
  • Support external infrared temperature measurement module, resolution: 32 x 32, temperature with an accuracy: ± 0.3⁰ C

Product Specification

Hardware

Description

Host

System

Android 5.1

CPU

Rockchip RK3288K Quad Core Cortex-A17,frequency up to 1.8GHz,industrial level main control

Memory

2GB DDR3

hardware

8GB EMMC

Camera

sensor

28.6 mm SONY IMX385 super starlight progressive scan 2.1 million pixel CMOS image sensor

Wide dynamic

≥120dB

lens

6mm(optional)

Display

Size

208 mm full viewing angle / highlight

Resolution

800 x1280 portrait screen

Screen elevation angle

0° to 30° Adjustable rotational axis

Touch screen

support

Performance

Description

Recognition time

≤ 0.6s (20000 face on board database)

Recognition mode

ID card, face card and face

Face verification accuracy

≥99.99%

Passing rate

99%

Error rate

0.01%

Face recognition distance

0.3 to 2.5 m

On Board ID capacity

No upper limit, 20000 recommended

Algorithm for human race

All race (Asian / African /European / Latin American , etc.)

In vivo detection

Support, monocular visible light in vivo discrimination

Mask recognition

Supports no mask reminder

Thermometric performance

Measuring range

10℃~50℃,No wind indoors

Temperature measurement accuracy

±0.3℃

Temperature resolution

0.1℃

Temperature measurement distance

0.5m~0.75m

Field angle

90°(H) * 90°(V)

Response time

200mS

Batch entry

Support

Management platform

support,B/S frame

Interface characteristics

Describe

Switching quantity

1 switch input

1-way opening output / dry contact

Wigand

1-way Wigan interface input, supporting Wigan 26 and 34

1 channel Wigan interface output, supporting Wigan 26 and 34

Network

1 RJ45 10m / 100M adaptive Ethernet port

USB

USB OTG

Card reader

IC card

Optional

ID card

Optional

ID card

Optional, can support ID card reading and IC card at the same time

General characteristics

Describe

Power

12 VDC

Dimensions (W x H x D)

Column type

130*292*34 mm

Wall mounted

130*292*34 mm

Footprint dimensions

200*1505.3*300 mm

Working environment

-30℃ - +75℃,≤90%RH

Protection level

IP 66

Installation mode

Vertical, wall or floor mountable