海康威視 DS-K1T343MFWX 人面識別門禁

HIKVISION DS-K1T343MFX

Face Recognition Terminal

Features

• Max.1500 faces capacity, Max.3000 fingerprints 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
• 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% 

Specification

| Display | Screen size | 4.3 inch |
|---------|-------------|----------|
| | Operation method | Capacitive touch screen |
| | Type | LCD |
| Video | Lens | 2 |
| | Resolution | 2 MP |
| Audio | Audio quality | Noise suppression and echo cancellation |
| Network | Wired network | Support |
| Interface | Network interface | 1 RJ-45, 10/100 M self-adaptive |
| | Lock control | 1 |
| | Exit button | 1 |
| | Door contact input | 1 |
| | TAMPER | 1 |
| RS-485 | | 1 RS-485 (Half duplex, HIKVISION) |
| Wiegand | | 1 Wiegand(Hik 26bit,Hik 34bit) |
| USB | | 1 |
| Authentication | Card type | M1 card |
| | Card reading frequency | 13.56 MHz |
| General | Power supply | 12 VDC, 1 A (power adapter included) |
| | Working temperature | -10°C to 40°C (14°F to 104°F) |
| | Working humidity | 0 to 90% (No condensing) |
| Dimensions | | 118.4 mm 118.4 mm 21.8 mm (4.66" 4.66" 0.86") |
| Installation | | Wall mounting, base mounting |
| Platform | | Hik-ProConnect and HikCentral Professional |

Function

• Face anti-spoofing | Support |

To convert the provided HTML content into Markdown, we need to follow the instructions given:

1. Identify the Main Content: The main content of the HTML is the detailed description of the product, including features, specifications, and function descriptions.

1. Extract Relevant Information: We need to extract the relevant information from the HTML content and format it according to the guidelines.

1. Format the Markdown: We need to format the Markdown content to match the structure and content of the HTML.

Let's go through the steps:

Step 1: Identify the Main Content
The main content is the section that describes the product features, specifications, and function details.

Step 2: Extract Relevant Information
We will extract the relevant sections from the HTML content and format them correctly.

Step 3: Format the Markdown
We will format the Markdown content to match the structure and content of the HTML.

Now, let's implement these steps using Python code: