Hikvision Face Recognition Terminal DS-K1T343MWX

Description

The Hikvision DS-K1T343MWX is a compact, entry-level face recognition terminal designed for access control and time attendance. It is part of Hikvision’s Value Series, offering a balance between advanced biometric security and affordability.


Core Features

  • Biometric Accuracy: It uses a “Deep Learning” algorithm to ensure fast and accurate face recognition, even in low-light conditions. It features a 2 MP dual-lens camera to prevent “spoofing” (trying to trick the system with a photo or video).

  • Large Capacity: Despite its small size, it can store up to 1,500 face templates, 3,000 Mifare cards, and 150,000 event records.

  • High-Speed Verification: The device recognizes a face in less than 0.2 seconds, allowing for a “walk-through” experience without needing to stop and wait.

  • Multiple Authentication Modes: You can configure it to grant access via face only, card only, or a combination of both for higher security.

Technical Design

  • Display: It features a 4.3-inch touch screen for easy user interaction and menu navigation.

  • Connectivity: The device supports both Wired Network and Wi-Fi, making it flexible for installations where running Ethernet cables might be difficult.

  • Audio: Includes a built-in loudspeaker for voice prompts (e.g., “Verification succeeded”) and supports two-way audio with indoor stations or master stations.

Best Use Cases

  • Small to Medium Businesses: Ideal for office entrances to track employee clock-ins and clock-outs.

  • Residential Buildings: Used for secure entry into apartment complexes or private gyms.

  • Retail/Education: Managing access to stockrooms or restricted faculty areas.

  • Max.1500 faces capacity, and Max.3000 cards
  • Face Recognition Terminal, 4.3-inch LCD touch screen,2 Mega pixel wide-angle lens,Built-in M1 card reading module
  • Two-way audio with client software, indoor station, and main station; Supports TCP/IP, Wi-Fi
  • Supports ISAPI, ISUP5.0
  • Configuration via the web client
  • Face recognition. Distance: 0.3 m to 1.5 m
  • Duration < 0.2 s/User
  • Accuracy rate ≥ 99%

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