Multi-Storey AI Based Parking System

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.

• Record URL:
  • https://doi.org/10.4271/2026-28-0129
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • N, Kalaiarasi
  • Gupta, Shivansh
  • Hajarnis, Mihir
  • Anand, Vikas
• Conference:
  • Advances in Design, Materials, Manufacturing, and Surface Engineering (ADMMS’26)
  • Location: Chennai , India
  • Date: 2026-2-6 to 2026-2-7
• Publication Date: 2026-2-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Actuators; Artificial intelligence; Drivers; Navigation systems; Sensors; Surveillance; Visualization
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01979508
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2026-28-0129
• Files: TRIS, SAE
• Created Date: Feb 17 2026 10:28AM