HLK-ZW111 Capacitive Fingerprint Recognition Module

The Hi-Link HLK-ZW111⁠ is a high-performance semiconductor fingerprint processing module that combines an active capacitive fingerprint sensor with an advanced fingerprint recognition processor in a single compact unit.
Built with a low-power RISC-V processing core and adaptive self-learning fingerprint algorithm, the HLK-ZW111 delivers fast, reliable, and accurate biometric authentication while maintaining very low power consumption. The module supports low-power finger detection without requiring an external touch detection IC, making it ideal for battery-powered smart devices.
Its compact circular design with customizable RGB light effects makes it perfect for smart door locks, safes, attendance machines, IoT security systems, and DIY embedded projects.
Features
Capacitive semiconductor fingerprint sensor
Fast fingerprint recognition and matching
Low power consumption design
Built-in fingerprint processing chip
UART TTL communication interface
Supports 3.3V operation
360° adaptive self-learning algorithm
Integrated finger detection
RGB multi-color light effect
Compact size for embedded systems
Compatible with ESP32, STM32, Arduino, Raspberry Pi, and other MCUs

Specifications
Model: HLK-ZW111
Operating Voltage: 3.3V
Operating Current: ~40mA
Sleep Current: <25uA
Communication Interface: UART TTL
Resolution: 500 DPI
Sensor Type: Capacitive
Fingerprint Capacity: Up to 40 fingerprints
FAR (False Acceptance Rate): <0.0001%
FRR (False Rejection Rate): <3%
Matching Speed: <0.8s
Feature Extraction Time: <0.06s
Operating Temperature: -20°C to +70°C

Applications
Smart Door Locks
Biometric Access Control
Attendance Systems
Security Safes
IoT Authentication Devices
DIY Electronics Projects
Embedded Security Systems

Tutorial & Getting Started
If you are getting started with the HLK-ZW111 fingerprint sensor, you can follow this beginner-friendly setup and testing guide:
HLK-ZW111 Capacitive Fingerprint Sensor Test & Setup Tutorial⁠
This tutorial includes:
Basic wiring connection
UART communication setup
Initial testing process
Fingerprint enrollment and matching
ESP32/Arduino integration basics