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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AI-BASED SMART PARKING SYSTEM: EMPTY PARKING SPACE COUNTING AND DISPLAY FOR PARKING GUIDANCE

AUTHORS:
Swagata Dandvate
Abhay Wakchaure
Aniket Yadav
Mentor
P.P Shinde
Affiliation
E&TC/ Vidya Niketan College of Engineering Bota /Sppu/India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Our world has been developing into a digital era since the introduction of technologies which is responsible for the evolution and changes in the lives of many people. However, there are still no development on the issue of parking system that is usually full especially in crowded areas to notify people on the absence of parking spots that ends up wasting their time. The anxiousness and worries of people results in their daily schedule change to fit in the time taken to look for a parking spot. The project that is made to be implemented focuses on a web-application to notify users on the availability of parking and the location of the parking. This project allows users to locate and identify available parking space with the view of just a web application. Light-dependant resistor(LDR) sensor is used to detect the presence and absence of car .The data transferred from the sensor to the web application is sent by using ESP32. The feature available in the web application is the indicator of an occupied parking space and a free parking. To enhance the effectiveness of the web application, we made it available to be used on website to ensure users are able to apply and use the system in real timeshould be between 150 and 250 words and must reflect the core contribution of the paper. Please avoid citations in the abstract.

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Dandvate, S., Wakchaure, A. & Yadav, A. (2026). AI-Based Smart Parking System: Empty Parking Space Counting and Display for Parking Guidance. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.028

Dandvate, Swagata, et al.. "AI-Based Smart Parking System: Empty Parking Space Counting and Display for Parking Guidance." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.028.

Dandvate, Swagata,Abhay Wakchaure, and Aniket Yadav. "AI-Based Smart Parking System: Empty Parking Space Counting and Display for Parking Guidance." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.028.

References
1.Suresh S., J. Bhavya, S. Sakshi, K. Varun and G. Debarshi, "Home Monitoring and Security system," 2016 International Conference on ICT in Business Industry & Government (ICTBIG), 2016, pp. 1-5, doi: 10.1109/ICTBIG.2016.7892665

2.Visvesvaran, S. Kamalakannan, K. N. Kumar, K. M. Sundaram, S. M. S. S. Vasan and S. Jafrrin, "Smart Greenhouse Monitoring System using Wireless Sensor Networks," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 96- 101, doi: 10.1109/ICOSEC51865.2021.9591680.

3.P. Parikh, D. R. Shah and P. R. Shah, "Park Indicator: Book Your Parking Spot," 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1-3, doi: 10.1109/ICCUBEA.2018.8697378.

4.Anand, A. Kumar, A. N. M. Rao, A. Ankesh and A. Raj, "Smart Parking System (S-Park) – A Novel Application to Provide Real-Time Parking Solution," 2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT), 2020, pp. 93-96, doi: 10.1109/MPCIT51588.2020.9350429.

5.Seo, J. Kim, Y. Lee and W. -Y. Kim, "Vision-based Approach in Finding Multitype Parking Stall Entrance," 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2018, pp. 352-357, doi: 10.1109/ICNIDC.2018.8525525.

 
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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