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Cold-Start Recognition 0.3 s

Recognition Distance 0.4-1.0 m

Processor Dual-core RISC-V + NPU

DM-SV001F1 Binocular 3D Face Recognition Module for Smart Locks

DM-SV001F1 brings binocular 3D face recognition and onboard processing to smart locks and embedded access-control terminals. A dual-core RISC-V processor and NPU handle image processing, liveness checks and face comparison, while UART connects the module's recognition and user-management workflow to the host controller. Recognition distance is 0.4-1.0 m, with a cold-start recognition time of 0.3 s.

Key Highlights

Bring face recognition into a lock or terminal through an onboard binocular sensing and processing architecture.
Run liveness checks and face comparison on the module, with results available to the host through UART.
Manage face enrollment, user groups and database deletion through the serial-control workflow.
Plan the user interaction around a 0.4-1.0 m recognition distance and a 0.3 s cold-start recognition time.

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Engineering support

Overview

DM-SV001F1 combines binocular image capture with a dual-core RISC-V processor, an NPU, 64 MB DDR3L memory and 16 MB SPI NOR flash. Image preprocessing and binocular geometric analysis feed the module’s liveness and face-comparison workflow.

The host uses UART for recognition commands and user management. Enrollment, group indexing, permission tiering, batch deletion and database clearing support the terminal’s user-management design. The host application uses the module’s results alongside its own access rules and device controls.

Cold-Start Recognition: 0.3 s
Recognition Distance: 0.4-1.0 m
Processor: Dual-core RISC-V + NPU
Host Interface: UART

Applications

Smart locks and entry panels

Use face recognition as an input to a lock or entry-panel controller. Plan camera placement around the user’s approach direction and the 0.4-1.0 m recognition region. Our smart-lock wake-up guide explains how proximity wake-up and recognition fit into separate stages of the host workflow.

Access-control and attendance terminals

Connect the module to a terminal that manages users, entry decisions or attendance events. The UART enrollment and group-management functions let the host coordinate recognition with the site’s user records and control logic.

Lockers and self-service equipment

Add face-comparison results to equipment that needs a user-recognition step, such as smart lockers or membership terminals. Choose the enrollment, deletion and host event flow around the equipment’s operating process.

Technical specifications

Parameter	Specification
Recognition architecture	Binocular 3D face recognition with onboard processing
CPU	Dual-core RISC-V processor
NPU	Embedded neural processing unit
RAM	64 MB DDR3L
Flash	16 MB SPI NOR
Image sensor specification	1/6-inch CMOS; 640 × 480 (VGA); MIPI interface
Host communication	UART
Input voltage	4-9 V
Supply requirement	At least 500 mA current capability
Recognition distance	0.4-1.0 m
Cold-start recognition time	0.3 s
Horizontal / vertical field of view	54° horizontal × 68° vertical
User-management functions	Enrollment, group indexing, permission tiering, batch deletion, database clearing

Host and installation planning

Recognition and user management

Use the host controller to initiate the selected UART workflow and act on its results. Plan enrollment, recognition, group assignment and removal around the terminal’s user lifecycle. We can help match the communication and command sequence to the controller design.

Power and camera placement

Provide a 4-9 V supply with at least 500 mA capability. Position the module around the recognition distance, the user’s face position and the field of view. Include the installed window and lighting in the capture setup.

Define the recognition task

Liveness checks and identity comparison serve different parts of a face-recognition workflow. The face-system integration guide explains how sensing, liveness processing and the host’s access decision connect in a finished system.

FAQs

What processing does DM-SV001F1 perform on the module?

It combines image preprocessing, binocular geometric analysis, liveness checks and face comparison using its dual-core RISC-V processor and NPU. The host connects through UART for the recognition and user-management workflow.

What does the 0.3 s time specification cover?

The specification is 0.3 s for cold-start face recognition. Use that recognition-stage figure when planning it within the terminal’s wider wake-up, host-decision and actuator sequence.

How can the host manage enrolled users?

The UART workflow includes face enrollment, group indexing, permission tiering, batch deletion and database clearing. Match those functions to the host’s user records and application rules.

What supply and user position should I plan around?

Provide 4-9 V with at least 500 mA supply capability. The recognition distance is 0.4-1.0 m, with a 54° horizontal × 68° vertical field of view for placement planning.

Discuss your face-recognition terminal

Share the host controller, user position, enrollment workflow and access-control task. We can help plan the DM-SV001F1 module connection and evaluation setup for your lock or terminal.

Need help integrating DM-SV001F1?

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