Zkteco MB460 is an innovative product featured with ZK’s advanced fingerprint and face recognition technologies.
It supports multiple verification methods including face, fingerprint, card, password, combinations between them, and basic access control functions.
User verification is performed in less than 1 second, which streamlines the process of access.
The communication between the MB460 and PC is by TCP / IP or USB interface for manual data transfer. Its sleek design fits perfectly in any environment.
Zkteco MB460
Zkteco MB460 is an innovative product featured with ZK's advanced fingerprint and face recognition technologies.
It supports multiple verification methods including face, fingerprint, card, password, combinations between them, and basic access control functions.
User verification is performed in less than 1 second, which streamlines the process of access.
The communication between the MB460 and PC is by TCP / IP or USB interface for manual data transfer. Its sleek design fits perfectly in any environment.
Door Access Control Panel InBio-260Technical specification:
Number of doors controller - 2 Door
Numbers of readers
supported - 8(4 RS-485 Reader,4 26-bit wiegand reader)
Types of readers supported - 26-bit Wiegand and RS485 FR Series Reader
Number of Inputs - 6( 2 Exit Devices, 2 Door Status, 2 AUX)
Number of Outputs - 4 (2-Form C Relay for Lock and 2-Form C Relay for Aux Output)
Cardholders Capacity - 30,000
Fingerprint Capacity - 3,000
Log Events Capacity - 100,000
Communication - TCP/IP and RS-485
Package Dimension - 350(L)×90(H)×300(W)mm
Package Weight - 3.6KG
CPU - 32-bit 400MHz CPU
RAM - 32M
FLASH MEMORY - 128M
POWER - 9.6V-14.4V DC
OPERATING TEMP - 0-45 °C
Operating Humidity - 20% T0 80%
Quality ZKTeco DL30Z Smart Lock is a digital keypad smart lock with Zigbee communication. With the additional Zigbee Gateway, you can easily remotely unlock the door lock, check the log history, share the temporary or dynamic passcode, modify the lock’s features via ZSmart App, which is a new mobile application for the smart home system. With its powerful and smart core, you can receive real-time notifications of low battery, illegal verification attempts, hijack alarms of family members, offline status, and so on. Besides, you can customize conditions to trigger some messages or actions like when a family member goes home.
Specifications:
Material: Zinc Alloy (Front) + ABS (Back)
Mortise: American Standard Single Latch, German Standard Mortise (optional)
Identification Mode: Smart Phone, Passcode, and Card
User Capacity: 100
Passcode Capacity: 100
Card Capacity: 100
Card Reader: Mifare Card & NFC Supported
Audio Prompt: English, Spanish, Portuguese
Communication: Zigbee
Remote Access: Zigbee Gateway required
Power Supply: 4×AA Alkaline Battery (not supplied)
Backup Power Interface: 9V Battery Supported
Battery Life: Up to 1.5 years (about 10,000 access)
Door Thickness: 30-54 mm (standard)
Backset: Adjustable 60 or 70 mm (only for single latch)
Dimensions (W*L*D): Front – 69*155*35 (mm) , Back – 69*155*26 (mm)
Operating Temperature: -20°C to 55°C
Operating Humidity: 10%~90% RH (non-condensing)
Certifications: CE-RED, FCC ID
Zkteco SpeedFace-V5L
Zkteco SpeedFace-V5L is the high-speed biometric access control terminal with facial recognition in the Series.
Zkteco SpeedFace-V5L Series is a fully upgraded version of the SpeedFace-V5L Visible Light Facial Recognition Terminal,
using intelligent engineering facial recognition algorithms and the latest computer vision technology.
It supports both facial and palm verification with large capacity and speedy recognition,
as well as improving security performance in all aspects.
It adopts touchless recognition technology and new functions namely fever detection and
masked individual identification which eliminates hygiene concerns effectively.
It is also equipped with the ultimate anti-spoofing algorithm for facial recognition against almost all types of fake photos and videos attack.
Importantly, the 3-in-1 palm recognition (Palm Shape, Palm Print, and Palm Vein) is performed in 0.35 sec per hand;
the palm data acquired will be compared with a maximum of 3,000 palm templates.
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