Hardware Circuit Design of Intelligent Door Lock Based on C Language

This design is based on the hardware circuit design of intelligent door lock in language C. The system consists of software part and hardware parts. The hardware part mainly includes five parts: face recognition module, fingerprint recognition module, credit card swiping recognition module, password recognition module and remote control module. This design takes STM 32 as the core and C language as the underlying development language. There are two modes of work: offline unlocking and online unlocking. Offline unlocking, is aimed at the face recognition screen for face recognition, fingerprint sensor scan fingerprint information for fingerprint identification, radio frequency card contact radio device for card identification, key input the password for password identification, communication module and the upper machine to establish a connection, input specific instructions to identify and unlock. When receiving the order to open the lock, the steering machine clockwise rotation 90 means that the lock is opened, and after 3 seconds automatically back to 0 means that the lock is closed. Online unlocking, and offline unlocking to achieve the same function, but it can achieve remote control. After the system makes the power supply, each module can work normally. The results show that this design has a practical application value.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icsece61636.2024.10729549
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Hardware Circuit Design of Intelligent Door Lock Based on C Language

Jiang Shaojun, Tong Fu
Wireless Sensor Networks and IoT
article

Hardware Circuit Design of Intelligent Door Lock Based on C Language

Jiang Shaojun, Tong Fu
article en

Abstract

This design is based on the hardware circuit design of intelligent door lock in language C. The system consists of software part and hardware parts. The hardware part mainly includes five parts: face recognition module, fingerprint recognition module, credit card swiping recognition module, password recognition module and remote control module. This design takes STM 32 as the core and C language as the underlying development language. There are two modes of work: offline unlocking and online unlocking. Offline unlocking, is aimed at the face recognition screen for face recognition, fingerprint sensor scan fingerprint information for fingerprint identification, radio frequency card contact radio device for card identification, key input the password for password identification, communication module and the upper machine to establish a connection, input specific instructions to identify and unlock. When receiving the order to open the lock, the steering machine clockwise rotation 90 means that the lock is opened, and after 3 seconds automatically back to 0 means that the lock is closed. Online unlocking, and offline unlocking to achieve the same function, but it can achieve remote control. After the system makes the power supply, each module can work normally. The results show that this design has a practical application value.

Dalian University of Technology (CN), City Institute, Dalian University of Technology
Openalex Percentile: Top 78%
Wireless Sensor Networks and IoT
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