LXONamRz

Ultra-low power fingerprint lock @6uA

 
Overview

Project Description
A small, low-power universal fingerprint lock designed based on the ultra-low-power single-chip microcomputer MSP430 solves the embarrassment of forgetting to bring keys when going out of the dormitory. The standby current is 6uA, and one battery can be used for a year without any problems! No need to disassemble the door lock for direct installation, simple and convenient, suitable for all types of door locks.
Main control: TI Texas Instruments' MSP430G2553 ultra-low-power single-chip microcomputer
Fingerprint model: AS608
Servo model: sg90 or MG996R
Battery model: Lishen 18650 power battery (5C) or 21700 General
open source agreement
GPL3.0 prohibits commercial
 
use Project related functions
Add fingerprint
Delete fingerprint
recognition Verify fingerprint and unlock the door
Accumulated unlock times Record function
Screen, buzzer switch (power consumption is further reduced after turning off!)
Charging detection
More functions are under continuous development...
 
Project attributes
This project is the first public and is my original project. The project has not won any awards in other competitions.
 
Project progress
The main functions and UI design have been completed on the development board, and the Jiali Chuang PCB proofing verification is being prepared!
 
Design principle:
The standby current measured by the low power analyzer is only 6uA.
1. The main control adopts MSP430G2553 to achieve ultra-low power control. When the fingerprint recognition is successful, the sx1308 boost chip is used to increase the voltage of the 18650 battery to 5V to drive the servo to open the door.
2. The button trigger task uses different buttons to add, delete fingerprints, turn on and off the buzzer and screen, and other functions.
3. The fingerprint drive circuit allows the main control IC and the fingerprint module to communicate via serial port.  
Software description:
The main function uses object-oriented programming thinking to design three major program tasks: sleep, fingerprint recognition, and button function selection .
 
Physical display
tips: Physical pictures of the work, and the pictures can be explained.
Design considerations
: Here are some considerations that need to be noted in the production of the work (you don’t have to write them down if you don’t have any)
 
Other
demonstration videos: You can upload the demonstration video as an attachment. The maximum attachment size is 50M. Files larger than 50M can be placed on other network disks or video websites. Just put the address link here.
Project attachments: The works participating in the event must upload the project-related program attachments to the open source platform or personal code storage cloud. The maximum attachment size supported is 50M (please do not upload in the LiChuang workspace, there are restrictions)
参考设计图片
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