Article Details

Abstract

Using the STC89C52 single-chip microcomputer as the core device, this study designs a password-controlled logistics self-pickup system that integrates the AS608 optical fingerprint recognizer, AT24C02 memory chip, LCD12864 liquid crystal display, 4×4 matrix keyboard, relay, and electromagnetic lock. The matrix keyboard is used to perform password input and function operation, the fingerprint recognizer is used to verify the identity of couriers, and the memory chip is used to enable power-off preservation of passwords and fingerprint templates. The single-chip microcomputer processes and matches the collected password and fingerprint information. Upon successful verification, the system drives the execution module to unlock the cabinet door. Upon failure, it triggers the audible and visual alarm signals of the alarm module. At the same time, the display screen shows the system status, operation information, and abnormal prompts in real time. The hardware circuit and software design scheme of the logistics self-pickup system based on the single-chip microcomputer are studied in detail. Keil software is used for code debugging and generating hex files, and Proteus is used for hardware circuit simulation. Hardware and software tests show that the designed logistics self-pickup system can work normally in various scenarios and realizes the intelligent management of express delivery storage and retrieval.

Keywords

Single-chip Microcomputer; logistics self-pickup system; fingerprint recognition; password control; function test

References

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Funding

National Natural Science Foundation of China (61901350); Natural Science Basic Research Program of Shaanxi Province (2024JC-YBQN-0644); Research Project on Higher Education Teaching Reform of Xi'an University of Aeronautics (25JXGG1004, 25JXGG2014); Shaanxi Province's "14th Five Year Plan" Education Science Plan 2025 Annual Project (SGH25Y3265, SGH25Y3266)

About the authors

Jiao Siyu (2005-), female, Han ethnicity, from Xingping, Shaanxi, undergraduate student, research interests include signal processing; Corresponding author: Wang Wei (1980-), male, Han ethnicity, from Xi'an, Shaanxi, associate professor, doctoral student, research interests include electromagnetic fields and microwave technology.