An Improved IOT Smart Parking System
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2023 by IJRES Journal | ||
| Volume-10 Issue-2 |
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| Year of Publication : 2023 | ||
| Authors : Ifeoma B Asianuba, Aminu Aliyu |
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| DOI : 10.14445/23497157/IJRES-V10I2P102 |
How to Cite?
Ifeoma B Asianuba, Aminu Aliyu, "An Improved IOT Smart Parking System," International Journal of Recent Engineering Science, vol. 10, no. 2, pp. 7-12, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V10I2P102
Abstract
An improved smart parking system was designed and implemented using Internet of Things (IoT) Technology. The study deployed a wi-fi module to inquire about available parking space, register a prospective vehicle owner for reservation and obtain a confirmed or cancelled reservation via the mobile app. A unique feature of the parking slot is the presence of sensors that can activate an alarm in the event of an emergency incident. The parking system implementation involved a three-slot prototype whose status can be accessed remotely through the web application. The system operates in automatic mode depending on the online space availability or reservations made by the user. On parking a car in the allotted slot, an infrared sensor in that position detects its presence by changing the state of the output signal from LOW to HIGH. On booking, a "notify me" button is activated, and the web application sends a confirmation email stating the available space's status. A subscription test was carried out to verify if a user can subscribe for the notification in an event where there is no space available at that particular point in time. A space Status Test was conducted to ascertain whether the status of the parking spaces changes in real-time. The Reservation Test was also carried out to ensure users make reservations to confirm the availability of parking spaces before arrival. The improved IoT parking system has intelligent parking functionality with real-time responses, stability and practical utility compared to traditional parking systems.
Keywords
Infrared sensors, Internet of things, Smart parking, Wi-fi module.
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