scholarly journals Car Parking System using ALPR and CPS

2019 ◽  
Vol 9 (1) ◽  
pp. 6233-6236 ◽  
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Daily Basis ◽  
License Plate ◽  
License Plate Recognition ◽  
End User ◽  
Proximity Sensor ◽  
Parking Lots ◽  
Huge Data ◽  
Vacant Space

IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.

scholarly journals Information fusion in recognition of Saudi Arabia license plates

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Saudi Arabia ◽  
Image Quality ◽  
Information Fusion ◽  
Weather Conditions ◽  
License Plate ◽  
License Plate Recognition ◽  
Kingdom Of Saudi Arabia ◽  
Parking Lots ◽  
Arabic And English

The license plate recognition (LPR) system in Saudi Arabia is a system used to identify vehicle license plates automatically. It is used in many places such as airports, highways, and parking lots. The efficiency of the system depends on the image quality, weather conditions, location of plates, and the variations of license plates. The license plates in the Kingdom of Saudi Arabia are different from other license plates in other countries because they are written in both Arabic and English languages. This could be exploited to integrate the recognition results from both languages in a way to increase the efficiency of the system and reduce the errors that could affect the recognition of license plates. Instead of one LPR system, we have two independent LPR systems, and the results of both systems could be fused to increase the system's ability of reading cars’ plates

Automatic Car Number Plate Recognition System for Authorization

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 30-34
Author(s):  
Somalin Sandha ◽  
Debaraj Rana
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
Performance Level ◽  
License Plate ◽  
License Plate Recognition ◽  
Human Power ◽  
Automatic License Plate Recognition

In present day scenario the security and authentication is very much needed to make a safety world. Beside all security one vital issue is recognition of number plate from the car for Authorization. In the busy world everything cannot be monitor by a human, so automatic license plate recognition is one of the best application for authorization without involvement of human power. In the proposed method we have make the problem into three fold, firstly extraction of number plate region, secondly segmentation of character and finally Authorization through recognition and classification. For number plate extraction and segmentation we have used morphological based approaches where as for classification we have used Neural Network as classifier. The proposed method is working well in varieties of scenario and the performance level is quiet good.

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