Android Face Recognition Access Machine
Product Introduction:
SI-A08 is a face recognition access control machine featuring a high-performance RK3568 processor, Android operating system, a 2-megapixel wide dynamic binocular camera, standard neural network deep learning face recognition algorithm, binocular liveness detection algorithm, and an aluminum alloy housing. It supports an 8-inch high-definition display and TP touch, comes with abundant peripheral interfaces, ensures system stability, and is compatible with our access control management platform software.
Application Scenarios:
SI-A08 is widely used in government agencies, intelligent buildings, office buildings, high-end residential communities, colleges and universities, enterprises and institutions, industrial and mining enterprises, etc., as an access control and attendance terminal device, and is used in conjunction with pedestrian access gates.
Product Features:
l The access control is built with the most advanced neural network visible light dynamic face recognition algorithm and binocular liveness detection algorithm, supporting face recognition/mask-wearing recognition with an accuracy of 99.9% and millisecond-level recognition speed.
l Powerful algorithms for handling illumination and low light, matched with a 2-megapixel wide dynamic dual camera, adapting to various harsh environments such as "darkness/strong light/weak light/backlight/side light".
l Supports 8-inch high-definition display + TP touch.
l Supports 2-megapixel wide dynamic dual cameras.
l Support 4G/GPS optional configuration
l Supports video intercom function
l Supports Android-based access control firmware APK.
l Supports offline face recognition, one-click switching between multi-person/single-person recognition (up to 5 people for multi-person recognition), fast passage, real-time photo capture, and on-site storage of portrait photos when face recognition is successful.
l Supports on-device touch screen face registration, U-disk photo import for face registration, and background software photo import for face registration; intelligent voice prompts, broadcasting the verification results by the person's name after successful recognition.
l Rich access control interfaces, customizable to connect various external devices and modules, such as various card readers, QR code modules, etc.
l The access control is connected to our platform access control management software, which provides various report outputs.
l The access control provides network port/RS232/485 SDK, supporting connection with third-party platform software or devices.
Technical Parameters:
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Hardware Parameters
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Shell Material
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Aluminum alloy housing (wall-mounted and gate-type brackets optional)
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CPU
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RK3568, quad-core ARM Cortex-A55 architecture, main frequency 1.8GHz
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GPU
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Mali-G52-2EE
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NPU
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0.8T computing power
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RAM
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2GB DDR4 (standard)/expandable
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ROM
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8GB (standard), expandable to 16GB, 32GB, 64GB, 128GB
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Camera
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2.8 CMOS sensor
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Binocular (color + black and white) 2MP wide dynamic HD camera, equipped with infrared lights
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Fill Light
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Support white light diffuser panels.
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Display
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Supports an 8-inch high-definition display with a resolution of 1280*800 pixels.
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TP Touch
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G+G Capacitive Anti-Breaking Touch Screen
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Speaker
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1
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TTS
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Supports name broadcasting
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Microphone
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1
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Video Intercom Function
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Supports audio and video encoding, supports customized video intercom function
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Device Management
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Clock: Built-in RTC, supports network automatic time calibration
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Reset: Hardware reset
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Operating Temperature
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-15~60℃
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Operating Humidity
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＜90%
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Device Size
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132*255*27mm
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Firmware Parameters
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Operating System
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Android 11
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Algorithm
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Binocular liveness detection algorithm & face recognition algorithm&QR code algorithm
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Language/Voice
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Chinese, English (standard), supporting customization of different languages and voices
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User Capacity (person)
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10,000 users (10,000 registered users with facial recognition/password/card, 20,000 registered users with palm vein recognition)
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User Records (entry)
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1000,000 records (Supports facial/ palm vein recognition for recording and capturing on-site photos. Local storage capacity does not exceed 20,000 photos)
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Registration Method
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On-device operation: Touch screen face registration, U-disk photo import
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Platform management software operation: Online photo import registration, camera photo registration
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Recognition Mode
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1:1, 1:N
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Recognition Display
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Name, employee ID
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Face Recognition Time
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Less than 05S
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Recognition Rate
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≥99.9%
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False Recognition Rate
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≤0.001%
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Liveness Detection
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Dual-eye 3D anti-counterfeiting technology, completely preventing all kinds of black-and-white and color photos, as well as video fraud.
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Recognition Distance
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50~150cm
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Communication Interface
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Network Port
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1, 10/100M (providing HTTP/Websocket SDK for docking)
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TTL
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1
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RS485
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2 (providing protocol docking)
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RS232
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1 (providing protocol docking)
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4G/GPS
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Support optional selection
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Peripheral Interface
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Power Supply
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1,12V2A
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USB Port
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1, USB Host (data import and export)
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USB
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1,OTG
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HDMI
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1,min HDMI
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TF Card
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1(optional function)
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Relay Interface
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1
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QR code
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Support card number QR code generation and QR code door opening.
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Wiegand Output
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1,WG26/34
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Wiegand Input
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1,WG26/34
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Management software
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Public Cloud Platform
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free
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1,Professional public cloud platform integrating personnel, attendance, access control and visitor management.
2,1. Alibaba Cloud server with fast processing speed and high security;
3,2. Registration information and attendance data are synchronously transmitted to the cloud server in real time without manual operation;
4,3. Interconnection of devices in multiple places, unified management by the headquarters;
5,4. Through the APP, employees can check their own attendance, and administrators can check employees' attendance;
6,5. Supporting door opening via APP;
7,6. Visitor function: generating QR codes through APP to enable visitors to open doors via QR codes.
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