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Research Article

EEO. 2020; 19(4): 6561-6566


Intelligent Automatic Decision Making Car Parking And Slot Allocation Management System Using Raspberry Pi

Dr. Sumathi, Sokkanarayanan, Nikitha. S2, Renuka Devi.K, Nandhinee.A.


Abstract

In today’s world, the concept of Smart city has gained the many application, which integrates the concept of Information & Communication Technology where various devices are connected in order to optimize the efficiency of the citizen usage. One of the important consideration of being a smart city is availability of smart parking facility of vehicles. It has been observed that people face many difficulties to find a slot to park their vehicles in areas like malls, theatres and other commercial centers. Major problem in parking is the time consumption, as the driver struggle to find the halting extent, the slot availability. The proposed system discusses an innovative car parking management system based on IR sensors. The suggested system would provide car drivers with accurate information about the location and availability of parking slots. The status of each parking slot is detected by its corresponding sensor node which comprises of a number of IR sensors, and it is reported periodically to a database. Later, the collected data is converted into meaningful information, which can be viewed via a LCD display. This display is placed at the entry gate of the parking. In this system the advanced sensor networks are used to find the free slots. The system will automatically transmit the real time parking space availability data to the knowledge of the users.First, IR (Infra-red sensor) sensors are placed in each and every slot and then connected to the raspberry pi for detecting the vehicle’s presence in the slot. And two IR sensors are placedat theentry and exit gate for detecting and counting vehicles. Information from these sensors will be displayed in the LCD. The gate control depends on this sensors value. If no slot is available the gatewill not open, displaying “No slots available” in LCD. Web-cam is placed in gate area for capturing vehicle’s number plate and it updates the image to the web-page for further reference.

Key words: Smart Parking System, IR sensor, LCD, Raspberry pi, web-camera.






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