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Facial Recognition Access Control By DNAKE

1 Dec 2025

Facial Recognition Access Control By DNAKE
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Summary is AI-generated, newsdesk-reviewed
  • DNAKE facial recognition provides fast, smart access control with 0.4-second recognition time.
  • Real-time facial capture and mask detection enhance security for public access systems.
  • Customize facial recognition with open app source code for varied security scenarios.

Facial recognition technology is increasingly prevalent as advancements in artificial intelligence broaden its applications. DNAKE has harnessed neural networks and deep learning algorithms to develop a facial recognition solution capable of delivering rapid recognition in just 0.4 seconds.

This is achieved through integration with their video intercom products and facial recognition terminals, aiming to provide efficient and intelligent access control systems.

DNAKE's Advanced 906N-T3 AI Box

The DNAKE facial recognition access control system is specifically designed for secure entrances and public access environments.

The DNAKE facial recognition access control system is specifically designed for secure entrances

A prominent component of this system is the 906N-T3 AI box, which can be integrated with IP cameras to deliver facial recognition capabilities in diverse public settings. This device offers several advanced features to enhance security and accessibility.

Key Features of the 906N-T3 AI Box

The 906N-T3 AI box captures up to 25 facial images per second, facilitating real-time facial image acquisition.

Equipped with a facial mask detection algorithm, the system takes snapshots and verifies mask-wearing status upon detecting an individual approaching a building. This ensures compliance with health and safety protocols.

Enhanced Security and Customization

By comparing the captured images with a managed database, the system provides non-contact access control measures. Additionally, its open APP source code offers adaptability for various application scenarios, allowing for customization and integration with other platforms based on specific requirements.

The 906N-T3 AI box boasts ultra-high performance, capable of connecting with up to eight H.264 2MP video cameras. This versatility permits its use in access control solutions for data centers, banks, offices, and other locations demanding heightened security vigilance.

From facial recognition to LiDAR, explore the innovations redefining gaming surveillance

Show full press release

Following the development of AI technology, facial recognition technology is becoming more widespread.

By using neural networks and deep learning algorithms, DNAKE develops facial recognition technology independently to realize fast recognition within 0.4S through video intercom products and facial recognition terminal, etc., to create convenient and smart access control.

906N-T3 AI box

Based on facial recognition technology, the DNAKE facial recognition access control system is designed for public access scenarios and secure entrances.

As a member of facial recognition products, the 906N-T3 AI box can be applied to any public premises that require facial recognition by working with an IP camera. Its features include:

  • Real-time Facial Image Capture: 25 facial images can be captured in one second.
  • Facial Mask Detection: With the new algorithm of facial mask analysis, when the camera captures a person who wants to get into the building, the system will detect if he/she wears the mask and take a snapshot.
  • Accurate Facial Recognition: Compare 25 facial images and the database within one second and realize non-contact access.
  • Open APP Source Code: According to the application scenarios, it can be customized and integrated with other platforms.
  • Ultra-high Performance: It can connect to eight H.264 2MP video cameras and be utilized for various purposes, such as access control of data centers, banks, or offices that require improved security.
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Enhance security with DNAKE's facial recognition access control system. Enjoy fast, accurate recognition and mask detection in under 0.4 seconds, ideal for secure public access.

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