Paper
23 August 2022 Design of parking guidance system in intelligent parking lot
Qin Li, QinQin Chen
Author Affiliations +
Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123050O (2022) https://doi.org/10.1117/12.2645931
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China
Abstract
This paper designs a intelligent system that can automatically guide car owners to park quickly in order to solve the problems, such as difficult parking, long distance, slow parking, difficult finding of the exit with the improvement of production force and the increase of the vehicle number. This system is able to automatically detect whether there is vehicle in the parking place by using infrared sensor and display the total number of the parking places and remaining parking place information in the garage on the display screen at the garage entrance. There is corresponding display screen that can display the total number of remaining parking places in the regions of the parking lots through the analysis and calculation of the main control module of the one chip computer. In addition, it uses a dot matrix to visually display the specific position of the spare parking places in different regions, conveys to the vehicle owners whether the parking place has vehicle information through indicator and guide the vehicle owner to rapidly find the parking place with voice announcement. This system is of accurate positioning, low cost, easy installation and anti-interference, which can achieve the purpose of humanized, high efficient and intelligent parking.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qin Li and QinQin Chen "Design of parking guidance system in intelligent parking lot", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123050O (23 August 2022); https://doi.org/10.1117/12.2645931
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KEYWORDS
LCDs

Intelligence systems

Light emitting diodes

Organic light emitting diodes

Sensors

Data acquisition

Lamps

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