FlowFiz MD-800

Next Generation, Long Distance, AI-based Facial Recognition Time Attendance & Access Control Terminal with 8-inch touchscreen based on Linux operating system, the machine is IP54 rated and capable to work under different lighting conditions.

4K Ultra HD

AI Detection

Night Vision

IP67 Rated

Advanced Security Technology

FlowFiz MD-800 is an advanced Face Recognition Terminal with an 8-inch screen; offering unrivaled matching speed & accuracy. It is an ergonomic machine with a highly stable & strong core design. Based on Linux operating system, the machine is IP54 rated and capable to work under different lighting conditions.

What's Included:

Features

Liveness Detection

Detect real-time liveness & ensure live user presence

Advanced Face Recognition Algorithm

Accurately recognize live faces in less than 0.5s

Extended Operating Temperature

Operating temperature: -30 ℃ ~ +50 ℃

Built-in Light Sensor & LED fill light

Accurately tracks human face under different lighting conditions

Stable Operating Systems

Using Linux operating system

Multiple Interfaces Support

Support TCP/IP, UDP, HTTP, DNS, DDNS, SMTP, others
I/O, WG26, WG34, RJ45, RS485 interfaces

Large HD Display

8-inch touchscreen; IPS full-view HD display, without streaking and delay

 

Large User Memory

Up to 24000 faces & 160,000 transactions capacity

Intelligent Camera Technology

2D & 3D noise reduction
Intelligent exposure & smart enhancement settings for the face

Advanced Features

AI-Powered Recognition

Advanced deep learning algorithms with continuous model updates for optimal performance.

Real-Time Processing

Advanced deep learning algorithms with continuous model updates for optimal performance.

Anti-Spoofing Protection

Advanced deep learning algorithms with continuous model updates for optimal performance.

Specifications

Hardware

CPU

 1.2GHz

NPU

0.5 TOPS (AI acceleration)

Operating System

Linux

Camera

 1MP Binocular

Power Supply

DC 12V / 2A

Dimensions

185 × 90 × 24 mm

IP Rating

IP65 (Dust and Water Resistant)

Operating Environment

Indoor & Outdoor / -20°C to 60°C

Material (Body)

Metal

Color

Black

Display

Screen Size

4.3″ Touchscreen IPS LCD

Resolution

272 × 480 pixels

Communication Interfaces

USB Support

U Disk (Flash Drive)

Network Support

TCP/IP

Interface Type

Wiegand 26/34

Performance

Identification Speed

< 0.3 seconds

Identification Distance

0.5 to 2 meters

Recognition Methods

Face, Fingerprint, Palm Vein, Card, Password

Anti-Spoofing

Yes (via 3D Binocular Camera)

Capacity

User Capacity

1,500

Face Capacity

1,500

Palm Vein Capacity

500

Fingerprint Capacity

5,000

Card Capacity

1,500

Password Capacity

1,500

Logs Capacity

200,000

Specifications

Hardware

Processor

Next Generation ISP with high-performance NNIE Engine supporting critical AI based face analysis and accurate recognition

Operating system

Linux

Viewing angle

Vertical viewing: 30°; Horizontal viewing: 30°

Performance

Recognition height

1.2 ~ 2.3 meters, angle adjustable

Recognition distance

0.5 ~ 2.5 meters, depending on the lens

Recognition time

Less than 0.3 seconds

Storage capacity

70,000 capture records

Face capacity

Up to 24,000

Interface

Power out

DC12V/2A

Network interface

Supports 2.4GHz & 5GHz frequency band, IEEE802 b/g/n protocol

1 RJ45 10M / 100M adaptive Ethernet port, Gigabit Ethernet port can be customized

Wiegand interface

1ch Wiegand interface input/output

Open interface

1ch open door interface

Lock interface

1ch lock interface

Communication Interface
1ch RS485 interface

Camera

Camera

Dual cameras

Effective pixels

2MP, 1920*1080

Min Illumination

Color 0.01Lux @ F1.2 (ICR); B/W 0.001Lux @ F1.2 (ICR)

Regular

Operating temperature
-20℃ ~ +50℃
Working humidity

0~90% relative humidity, no condensation

Power

DC12V/2A

IP Rating

IP42 (water & dust resistance)

Equipment size

215(L) * 130 (W) * 18(T) mm

Screen size

8 inches IPS HD touchscreen

Want To Digitize Attendance?

Need a simple and reliable way to manage attendance? Our biometric machines with face recognition make it easy to track attendance accurately to avoid manual errors.

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