Artificial Intelligence based Sustainable Parking Slot Alerting System with Cloud Platform

With improvements of the Internet of Things (IoT), Artificial Intelligence (AI), aspect computing and different communique technology have paved manner for the trouble via way of means of processing the records regionally at the threshold of a surveillance device. In this, aspect computing is used for detecting sustainable parking occupancy from the actual video. The device pipeline is cautiously intended with the attention of suppleness, online investigation, records communication, recognition correctness, and device dependability. It allows AI at the threshold via way of means of enforcing more advantageous You Only Look Once (YOLO) and some greater algorithms are evolved both regionally at the threshold of the device or at the centralized records server which is concentrated mostly on desirable device performance and accuracy. The pervasive presence of clever smartphones encourages customers to decide on cell software which acts as the primary solution for improved sustainable development. The investigational outcome is talented that the very last recognition technique attains over 97% accurateness in real-international situations. The proposed device that is based on aspect computing and AI offers the right answer for detecting the vacant parking areas with greater accuracy will explore the benefits of Sustainable Development Goals (SDG) for infrastructure development..

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sustained63638.2024.11073897
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence based Sustainable Parking Slot Alerting System with Cloud Platform

C. Devika, T. Anuradha, Pappachan Baby, H. M. Moyeenudin et al.
Smart Parking Systems Research
article

Artificial Intelligence based Sustainable Parking Slot Alerting System with Cloud Platform

C. Devika, T. Anuradha, Pappachan Baby, H. M. Moyeenudin, Jose Anand A., K. Niraimathy
article en

Abstract

With improvements of the Internet of Things (IoT), Artificial Intelligence (AI), aspect computing and different communique technology have paved manner for the trouble via way of means of processing the records regionally at the threshold of a surveillance device. In this, aspect computing is used for detecting sustainable parking occupancy from the actual video. The device pipeline is cautiously intended with the attention of suppleness, online investigation, records communication, recognition correctness, and device dependability. It allows AI at the threshold via way of means of enforcing more advantageous You Only Look Once (YOLO) and some greater algorithms are evolved both regionally at the threshold of the device or at the centralized records server which is concentrated mostly on desirable device performance and accuracy. The pervasive presence of clever smartphones encourages customers to decide on cell software which acts as the primary solution for improved sustainable development. The investigational outcome is talented that the very last recognition technique attains over 97% accurateness in real-international situations. The proposed device that is based on aspect computing and AI offers the right answer for detecting the vacant parking areas with greater accuracy will explore the benefits of Sustainable Development Goals (SDG) for infrastructure development..

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Vels University (IN), Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram (IN), Ministry of Electronics and Information Technology (IN), Karakalpak State University (UZ)
Openalex Percentile: Top 68%
Smart Parking Systems Research
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Artificial Intelligence based Sustainable Parking Slot Alerting System with Cloud Platform — C. Devika, T. Anuradha, et al. · (2024) | TGRS Research Map | TGRS