HLK-FM226 HLK-FM226TA --EngrWorld

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HLK-FM226 HLK-FM226TA

Manufacturer:

Shenzhen Hi-Link

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Model

HLK-FM226TA

HLK-FM226TB

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FM226T-XF is an integrated module incorporating a deep learning face recognition algorithm. Based on the dual-eye liveness detection and recognition algorithm certified by public security authorities, it is equipped with dual cameras to perform functions such as face liveness detection, face capture, feature extraction/comparison, and user information storage. It communicates with third parties and transmits video via UART/USB to realize face recognition functions, output video images, which can be used for local screen display to achieve human-computer interaction, as well as for local or remote peephole functions. It supports local face registration and mobile phone photo registration.

It can be applied to networked face recognition door locks with different communication methods (such as Wi-Fi/NB/4G-Cat.1/433, etc.) in centralized management applications of door locks in hotels, apartments, shared rental rooms, public rental housing, dormitories, etc. It can also be applied to various device management applications that require real-person authentication.

The FM226T-XF module is mainly composed of a face algorithm main control unit, dual-eye 3D cameras, and LED lights.

The FM226T-XF module features small size, low power consumption, and fast recognition.

While enhancing adaptability to ambient light and anti-counterfeiting capabilities, the FM226T-XF module improves the usability for people of different heights, expands the recognition angle, and greatly enhances the user-friendly experience.

The software of the FM226T-XF module has added a capture command, which can be applied to scenarios such as door opening capture.

	Type	Description
	Product type	人脸识别模块
	Manufacturer	Shenzhen Hi-Link
	品牌	Hi-Link
	封装/规格	贴片式
	传感器模块类型	双目人脸识别模块（可见光 + 双目视
	工作电压（Vin）	DC 5.5V~12V
	工作电流	>1A
	接口类型	UART & USB
	工作温度	-20℃~+60℃

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Supports seven days of returns without reason

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If the delivery is damaged, return is supported

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