Low Cost Smart Parking with QR-Code
Year: 2025
Type: article
Abstract: This paper presents a new structure for the autonomous parking system (AAPS) developed to eliminate the inefficiency of urban parking. The proposed system integrates IoT sensors, computer visions and individual deep sea education models (DRL) to optimize the distribution of parking spaces and the exploration of vehicles. AAP uses real -time data built in a slot based on an ultrasonic sensor and a vision based on a vision to dynamically prescribe the parking space and generate it without colliding. In the simulated urban environment, experimental verification showed that parking time decreased by 40% and space efficiency increased by 35% compared to traditional methods. The results emphasize the potential of the system to alleviate congestion in the exercise of sustainable development and sustainable development of smart cities.
Author: Aadarsh K Hareendran , Janaki Kandasamy
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6931243497
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