Smart Car Parking Mobile Application based on RFID and IoT

Saeliw, Aekarat; Hualkasin, Watcharasuda; Puttinaovarat, Supattra; Khaimook, Kanit

doi:10.3991/ijim.v13i05.10096

Cited by 13 publications

(7 citation statements)

References 11 publications

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“…However, it followed some complex computations for increasing the speed of operations, which degrades the efficiency of recognition system. Saeliw et al [28] developed a mobile application based smart car parking system incorporated with IoT technologies. Here, the Radio Frequency Identification (RFID) technique was utilized to improve the efficiency of car parking management.…”

Section: Related Workmentioning

confidence: 99%

A Smart Car Parking System Based on IoT with Gray Wolf Optimization-Probability Correlated Neural Network Recognition Methods

Lasmika¹,

Kumaresan²

2022

ISI

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The use of vehicles is increasing every day because of the growing industrialization. Hence, parking the vehicles in the metropolitan cities could create the traffic congestion, which is one of the major problem need to be resolved in the smart city systems. For this purpose, this research work intends to develop a smart car parking system with proper controlling and monitoring units. The main motive of this work was to avoid the traffic congestion by developing an advanced car parking system with the help of Internet of Things (IoT) technology. Also, an image processing technique is utilized in this framework for identifying whether the car is present or not in the parking area. In which, an Anisotropic Diffusion Gaussian Filtering (ADGF) technique is utilized to preprocess the given image for improving the quality and reducing the noise effects. After that, the Grey Level Co-occurrence Matrix (GLCM) is employed to extract the contrast, correlation, energy and homogeneity features. After that, the suitable number of features are optimally selected by using the Grey Wolf Optimization (GWO) technique, which efficiently improves the speed of operation. Finally, the Probability Correlated Neural Network (PCNN) technique deployed for accurately recognizing that whether the car is present or not. For validation, the performance of this scheme is evaluated and compared by using various measures.

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Section: Related Workmentioning

confidence: 99%

A Smart Car Parking System Based on IoT with Gray Wolf Optimization-Probability Correlated Neural Network Recognition Methods

Lasmika¹,

Kumaresan²

2022

ISI

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“…There are many distinct technologies were applied to control vehicles, especially when they have been hijacked. Some of the technologies are alarming system, IoT, password security, Arduino, face reorganization, GPS, deep learning, Cloud Computing, RF communication, Radio-Frequency Identification (RFID) and so forth as in [4][5][6][7][8][9][10][11][12][13][14]. Each technology technique is suitable with its function but in some system, Internet accessibility is need continuously.…”

Section: Related Workmentioning

confidence: 99%

Development of a Secured Vehicle Spot Detection System Using GSM

Hussein

Aissa

Mohamed

et al. 2021

Int. J. Interact. Mob. Technol.

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The number of vehicles stolen is increasing annually. The alarm system for vehicles is commonly used to expose the burglars publicly to make a scene. If the vehicle owner is far away, it will be hard to distinguish the threat to the vehicle from the intruder. To deter such crime, there should be a safer protection mechanism for vehicles around the globe. Moreover, overcrowd parking lot problems have always been an issue. Nevertheless, it became even worse with the progressing urbanization and population expansion. Anyone may have experienced that moment of panic when you realize you have no idea where you parked your vehicle. Note that, the keyless remote control of vehicles has a short-range radio transmitter. It usually can reach up 5–20 meters. Therefore, this paper develops a proposed system that is used for detecting vehicle location using Global System for Mobile Communications (GSM). It is basically capable to switch ON and OFF vehicle alarm system to detect the location of the vehicle in a crowded area. PIC microcontroller that has been embedded in the system programmed using C language. The intelligent proposed system also designs to enhance the security feature for the transportation era. The proposed system offers better service and cost-effective for the vehicle owners.

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“…Although this proves out to be a little helpful but did not solve the problem to find a parking spot to get your vehicle parked. This method [7] can only be implemented where the parking traffic is low but proves out to be a real failure when comes to metropolitan cities like Bangalore, Delhi, Mumbai and Kolkata. These cities demands a far better alternative of handling parking traffic.…”

Section: Fig 1 Applications Of Internet Of Thingsmentioning

confidence: 99%

Track Your Parking Lot with the help of Sensors

Sharma¹,

Madan²,

Upadhyay³

et al. 2019

IJITEE

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The increasing number of vehicles around the globe increases the parking problem. Parking of vehicle in front of the house or in the basement of shopping mall, consumes a lot of time and energy of the driver. Additionally, the emission of extra CO2 is adding to the environmental cause globally. So here, author has proposed a solution of mentioned problem. An Automated Parking Management System (APMS) is proposed here that dynamically detect the vacant parking slots. This interface will provide the facility of advance booking through which the user can book a parking slot in advance to avoid last moment rush. The user can also locate, view the nearest empty parking lot in advance and plan his/her journey accordingly. The proposed work is done with the help of sensors that will fetch the data dynamically from the parking slots (whether they are vacant, occupied or waiting) with the help of raspberry pie. The retrieved data is interfaced by an android application that will then show the status of the slots. Apart from mentioned advantages, this work also addresses the environmental concerns due to CO2 emission. In short, through this application user will get a safe and secure vacant parking slot without any hustle and wastage of time

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Smart Car Parking Mobile Application based on RFID and IoT

Cited by 13 publications

References 11 publications

A Smart Car Parking System Based on IoT with Gray Wolf Optimization-Probability Correlated Neural Network Recognition Methods

A Smart Car Parking System Based on IoT with Gray Wolf Optimization-Probability Correlated Neural Network Recognition Methods

Development of a Secured Vehicle Spot Detection System Using GSM

Track Your Parking Lot with the help of Sensors

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