Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection
As the population of cities grows and the need for transportation increases, urban parking congestion is becoming a bigger issue. The study highlights the need for smart parking systems to provide on-demand parking solution that reduces traffic and inconvenience. In order to solve the common issue o...
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| Format: | Article |
| Language: | English |
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An-Najah National University
2025-05-01
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| Series: | مجلة جامعة النجاح للأبحاث العلوم الطبيعية |
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| Online Access: | https://journals.najah.edu/media/journals/full_texts/3568.pdf |
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| _version_ | 1850037534463098880 |
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| author | Kalaivani S Parnasree Chakraborty Mahalakshmi alias Isakki |
| author_facet | Kalaivani S Parnasree Chakraborty Mahalakshmi alias Isakki |
| author_sort | Kalaivani S |
| collection | DOAJ |
| description | As the population of cities grows and the need for transportation increases, urban parking congestion is becoming a bigger issue. The study highlights the need for smart parking systems to provide on-demand parking solution that reduces traffic and inconvenience. In order to solve the common issue of parking space scarcity in large cities, the study presents a novel solution that is based on real-time slot recognition and car identification. Current parking systems that rely on manual procedures waste time and energy consumption. The proposed method uses Radio-frequency identification (RFID) technology to authenticate cars and prioritize suitable parking spaces, aiming to reduce parking congestion and improve efficiency. In order to streamline parking procedures and maximize resource utilization, this technique attempts to keep an eye on entry and exit timings and notify security personnel of vehicles parked for extended periods of time. Additionally, to find parking spaces for cars in real-time, the study uses the Faster R-CNN (Region Convolutional Neural Network) algorithm, which is well-known for its quick object detection abilities. A crucial gap in smart parking solutions is filled by the research by incorporating sophisticated computer vision-based artificial intelligence into parking systems. This strategy to mitigate urban parking difficulties is shown feasible and effective, as evidenced by the successful testing of the implemented prototype of the suggested system in a university parking space. |
| format | Article |
| id | doaj-art-6bb383d9f06b4edbb3677497c3fc0bd9 |
| institution | DOAJ |
| issn | 1727-2114 2311-8865 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | An-Najah National University |
| record_format | Article |
| series | مجلة جامعة النجاح للأبحاث العلوم الطبيعية |
| spelling | doaj-art-6bb383d9f06b4edbb3677497c3fc0bd92025-08-20T02:56:51ZengAn-Najah National Universityمجلة جامعة النجاح للأبحاث العلوم الطبيعية1727-21142311-88652025-05-0140110.35552/anujr.a.40.1.2505Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot DetectionKalaivani S0Parnasree Chakraborty1Mahalakshmi alias Isakki2B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, IndiaB.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, IndiaB.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, IndiaAs the population of cities grows and the need for transportation increases, urban parking congestion is becoming a bigger issue. The study highlights the need for smart parking systems to provide on-demand parking solution that reduces traffic and inconvenience. In order to solve the common issue of parking space scarcity in large cities, the study presents a novel solution that is based on real-time slot recognition and car identification. Current parking systems that rely on manual procedures waste time and energy consumption. The proposed method uses Radio-frequency identification (RFID) technology to authenticate cars and prioritize suitable parking spaces, aiming to reduce parking congestion and improve efficiency. In order to streamline parking procedures and maximize resource utilization, this technique attempts to keep an eye on entry and exit timings and notify security personnel of vehicles parked for extended periods of time. Additionally, to find parking spaces for cars in real-time, the study uses the Faster R-CNN (Region Convolutional Neural Network) algorithm, which is well-known for its quick object detection abilities. A crucial gap in smart parking solutions is filled by the research by incorporating sophisticated computer vision-based artificial intelligence into parking systems. This strategy to mitigate urban parking difficulties is shown feasible and effective, as evidenced by the successful testing of the implemented prototype of the suggested system in a university parking space.https://journals.najah.edu/media/journals/full_texts/3568.pdfvehicle authenticationand intelligent image processing.environmental impact reductionrfidsustainable urban mobilityfaster r-cnn algorithmenergy-efficient transportationsmart parking system |
| spellingShingle | Kalaivani S Parnasree Chakraborty Mahalakshmi alias Isakki Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection مجلة جامعة النجاح للأبحاث العلوم الطبيعية vehicle authentication and intelligent image processing. environmental impact reduction rfid sustainable urban mobility faster r-cnn algorithm energy-efficient transportation smart parking system |
| title | Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection |
| title_full | Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection |
| title_fullStr | Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection |
| title_full_unstemmed | Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection |
| title_short | Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection |
| title_sort | smart vehicle parking system with rfid based authentication and ai powered slot detection |
| topic | vehicle authentication and intelligent image processing. environmental impact reduction rfid sustainable urban mobility faster r-cnn algorithm energy-efficient transportation smart parking system |
| url | https://journals.najah.edu/media/journals/full_texts/3568.pdf |
| work_keys_str_mv | AT kalaivanis smartvehicleparkingsystemwithrfidbasedauthenticationandaipoweredslotdetection AT parnasreechakraborty smartvehicleparkingsystemwithrfidbasedauthenticationandaipoweredslotdetection AT mahalakshmialiasisakki smartvehicleparkingsystemwithrfidbasedauthenticationandaipoweredslotdetection |