Multi-Storey AI Based Parking System

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Authors: Kalaiarasi N, Shivansh Gupta, Mihir Hajarnis, Vikas Anand
Cited by: 0
References: 12

Abstract

This paper presents a novel AI-based parking management system designed to enhance efficiency, reduce manual intervention, and optimize operational costs in modern parking facilities. By integrating computer vision with infrared (IR) sensors, the system continuously monitors parking areas in real time, accurately detecting vehicle occupancy and dynamically updating the space availability. The hybrid approach minimizes reliance on conventional sensors, improving accuracy and environmental robustness. Additional features include intelligent navigation assistance guiding drivers to available spots and integrated video surveillance for enhanced security through AI-driven suspicious activity detection. The user interface provides real-time updates ensuring a seamless and convenient parking experience. Overall, this system offers a comprehensive solution that advances parking technology through automation, real-time monitoring, and secure, user-friendly operation.

Fields of Study & Subjects

Smart Parking Systems Research Autonomous Vehicle Technology and Safety Vehicle License Plate Recognition

Publication details

Journal / source
SAE technical papers on CD-ROM/SAE technical paper series
Volume
1
Publication date
12 February 2026
Language
EN