Face Recognition Terminal

JW-A93  Series

Powerful Face Recognition Access Control Terminal

is a face recognition product suitable for commercial buildings, industrial parks and communities. The product body adopts an ultra-thin design, which is exquisite and easy to install. Y10A has a built-in neural network processing chip and self-developed face recognition algorithm, which can adapt to various lighting environments. It is very powerful and supports multiple authentication methods, such as face recognition, IC card or QR code verification, Bluetooth, APP, and password input. In addition, it has a high degree of protection and can operate in rain, high temperature or extreme cold environments.

High Strength Tempered Glass

It's impact-resistance strength is 3~5 times that of ordinary glass.

Industrial Grade Screen(5/7/8 inches optional）

The screen brightness is 25% higher than that of similar products.

High Wear-resistant Alloy Shell

The shell is made of aluminum-magnesium alloy integrated die-casting.

Embedded Linux system

running more stable and reliable

Professional Chip

Makes Face 

Recognition Faster

The industrial-grade neural network processing chip has a 30% increase in computing power compared to traditional consumer-grade processors. Combined with image processing acceleration technology, the recognition time is less than 0.3s.

Advanced Face Recognition Algorithms

The deep neural network and ffline selflearning heterogeneous algorithms have strong adaptability to the recognition of various crowd characteristics, and the misrecognition rate is less than 0.1%.

Algorithms support face recognition under special conditions, such as wearing masks, sunglasses or hard hats.  It also supports multiperson recognition and trailing recognition.

PHigh-performance Dual Recognition Module

The dual recognition module can easily distinguish real faces from fake methods such as mobile phone photos, paper photos and portrait videos. Powerful performance guarantees excellent recognition in bright, low or backlight dn.

Large Data Storage Capacity

can store 50,000 face data information, 100,000 IC card information and more than 100,000 historical traffic records.  In the networked state, all the information will be downloaded locally within 1 hour.

Multiple Authentication Methods Available

APP

IC Card

PC Management Platform

Mechanical Button

QR Code

Bluetooth

Password

Face Recognition