Smart Access Control All-in-One Machine

325S Smart Access Control All-in-One Machine

5-inch LCD touchscreen display, screen resolution 480*854

325S Smart Access Control All-in-One Machine X Equipped with a 2MP wide dynamic range camera, black light level image sensor, face recognition distance 0.2-2m, adaptable to height range 1.2m-2.0m, supports intelligent exposure

Built-in large capacity storage, supports up to 2000 faces, 10,000 cards, and 100,000 records

Built-in antenna, supports Wi-Fi and wired network connection

Utilizes deep learning algorithm, supports local offline recognition, face comparison time ≤0.2s/person, face verification accuracy >99%

Supports multiple methods including card swiping and face recognition Single and combined authentication methods, with NFC functionality supported.

Supports access control time-slot management (plan templates) and on-demand authorization for door opening.

Supports anti-tamper alarms, alarms for doors opened by external force, door opening timeouts, authentication overruns, and duress card alarms.

The device supports AMS, TUMS, Tumen, IoT clients, and access control and attendance mini-program management.

The TL-AS5230 smart Access control all-in-one machine is a high-performance, high-reliability facial recognition product. Utilizing deep learning algorithms, it boasts fast recognition speed and higher accuracy. With a large screen ratio and wall-mounted installation, it is primarily used in safe communities, enterprises, public institutions, related buildings, financial institutions, and other indoor and outdoor locations. 5-inch LCD touchscreen display with a resolution of 480*854; 2MP wide dynamic range camera with a facial recognition distance of 0.2-2m, adaptable to height ranges of 1.2m-2.0m; employs binocular liveness detection, supporting anti-spoofing facial recognition based on mobile phone photos and videos; utilizes a black-light level image sensor, ensuring unaffected facial recognition performance in low-light or no-light environments, suitable for both indoor and outdoor scenarios; employs intelligent exposure (adjusted via face recognition) to quickly adapt to ambient light; the device uses deep learning algorithms, supports local offline recognition, supports a maximum face database of 2000 faces, face comparison time ≤0.2s/person, face verification accuracy >99%, offering fast recognition speed and high accuracy; the device supports Wi-Fi connectivity, adapting to more application scenarios; the device supports multiple authentication methods: card swipe, face recognition, and employee ID + password, with card swipe supporting various card types including ordinary cards and duress cards. The device supports access control time-slot management (planned templates) and authorizes door opening on demand; It supports NFC functionality, allowing for card identification and authentication via a mobile phone's NFC function; It supports anti-tamper alarms, alarms for doors opened by external force, door opening timeouts, authentication overruns, and duress card alarms, ensuring stability and security; The device can be locally managed, supporting local face registration, querying, setting, and managing device parameters; It supports offline data transmission resumption, meaning events occurring offline will be re-uploaded after reconnecting to the platform; The device has built-in large-capacity storage, supporting up to 2000 faces and 100,000 records; It supports connecting to an external Wiegand card reader via a Wiegand interface; It supports direct control of door locks, Door Opening Buttons, and door magnetic detection for access control management; The device is compatible with the AMS access control and attendance system, the AMS Lite access control and attendance client, and access control and attendance mini-programs, adapting to various user scenarios;

Technical Parameters

Operating System

Embedded Linux Operating System

Display Size: 5-inch touchscreen

Screen ratio: 16:9

Resolution: 480*854

Camera: Dual-lens, 2MP 1080P

Card type: 13.56MHz Mifare card

Face verification time: 1:N face comparison time ≤0.2s/person

Face verification accuracy: ≥99%

Face recognition distance: 0.2-2m

Face capacity: 2000 faces

Storage capacity: 10,000 cards, 100,000 event records

Communication method: 10/100Mbps adaptive network port

Supports Wi-Fi

Physical interfaces: RS485*1, Wiegand*1, USB type a*1, SD card*1, door lock*1, door sensor*1, door open button*1

Device dimensions: 231.2mm*107.8mm*26mm

Device weight: 391g

Power supply: DC 12V/1.5A (Power supply not included, separate power supply required)/PoE (IEEE 802.3at)

Device Power

≤15W

Relative Humidity

0% to 90% (without condensation)

Operating Temperature

-30℃~60℃

Environmental Requirements

IP66 (Indoor and Outdoor)

Installation Method

Standard wall mounting, supports 86-type junction box mounting