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Hikvision Ds-K1T331 Face Recognition Terminal, Best Quality Face Attendance machine

Original price was: ৳ 15,000.00.Current price is: ৳ 12,500.00.

  • Max.1000 faces capacity
  • Supports TCP/IP communication
  • Configuration via the web client
  • Face Recognition Access Control Terminal, 3.97-inch LCD touch screen,2 Mega pixel wide-angle lens
  • Supports ISUP5.0, ISAPI

*01 Year Official Warranty

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Description

Hikvision Face attendance machine, Face Access Terminal hikvision ds k1t331, hikvision face recognition terminal price

  • Max.1000 faces capacity
  • Supports TCP/IP communication
  • Configuration via the web client
  • Face Recognition Access Control Terminal, 3.97-inch LCD touch screen,2 Mega pixel wide-angle lens
  • Supports ISUP5.0, ISAPI

Available models:

Face attendance machine
Face attendance machine

 Face attendance machine Specification:

External Interface USB × 1, electric lock × 1, door contact × 1

tamper × 1, exit button × 1, RS-485 × 1

Specifications System Parameters

Operation System Linux

Camera2 MP dual-lens camera with wide dynamic range

Capacity Card: 1500 (When connecting external card reader)

Face: 300 Event: 150,000

1:N Face Recognition Duration< 0.2 s

LCD Screen

LCD Screen3.97-inch touch screen

Features Face Recognition Distance: 0.3 m to 1.5 m

Communication mode: DS-K1T331: TCP/IP (10/100 Mbps, self-adaptive) For DS-K1T331W: TCP/IP

(10/100 Mbps, self-adaptive), Wi-Fi Power Supply: 12 V, 1.5 A, 18 W

Working Temperature: -10 °C to 50 °C (14 °F to 122 °F)

Working Humidity: 10 to 90% (no condensing)

Dimension: 120 mm × 110 mm × 23 mm (4.7″ × 4.3″ × 0.9″)

Application Situation Indoor use

Deep Learning Deep learning algorithm
Other Information 3.97-inch touch screen, 2 Megapixel wide-angle lens

2 MP wide-angle dual-lens

Face anti-spoofing

Face recognition distance: 0.3 m to 1.5 m

Deep learning algorithm

300 face capacity, 1,500 card capacity (when connecting external card reader);

150,000 event capacity, and up to 20,000

Face recognition duration < 0.2 s/User; face recognition accuracy rate ≥ 99%

Capture linkage and captured pictures storage

Transmits card and user data from or to the client software via TCP/IP protocol and saves the data on the client software

Imports pictures from the USB flash drive to the device or export pictures, events, from the device to the USB flash drive

Stand-alone operation

Manage, search and set device data after logging in the device locally

Connects to one external card reader via RS-485 protocol

Connects to secure door control unit via RS-485 protocol to avoid the door opening

when the terminal is destroyed

Supports 6 attendance status, including check-in, check out, break in

break out, overtime in, overtime out

Supports multiple languages: English, Spanish, Arabic, Thai, Indonesian, Russian, and Vietnamese

Supports E Home 5.0 (ISUP 5.0), and ISAPI protocol

Configuration via web browse

Warranty 1 Years Brand Warranty

What is a Face attendance machine

In our world, Biometric face recognition is used everywhere. It is an advanced, automated, and sensible identification system that can identify a person by facial features. It uses a digital camera to capture the image of the face, a computer for processing and analysis, and an output device for displaying the identification result.

It is straightforward to identify any person from different facial images. The face recognition system is a high-speed and reliable technology. This biometric is very safe because it can identify people without any mistakes.

Face recognition is considered the first step toward building biometric access control-based application scenarios, where biometric features are extracted from the individuals. This system is used in many government offices, firms, banks, and other places.

Working of the Face attendance machine

Face recognition works by inputting the image into the database before being ready to use. Once the image is processed, it converts it into an analogue and gets saved in the database.

Face analysis is a technique in which facial features like the length of the nose, lips, size between the eyebrows, size of the forehead, etc., are mapped.

These features are recorded and saved in the system. Once the database preserves the image, it is detected by the camera.

To use it successfully, the system must be used correctly. The system must be able to identify the individuals being analyzed. It should be used with individuals who are known, in advance, to be in the database. The system should not be used with people who do not appear in the database.

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