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Research Article

EEO. 2021; 20(1): 4696-4703


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

S.Nikitha, K. Renuka Devi, A.Nandhinee, Dr. S Sumathi.


Abstract

In today’s world, the concept of a Smart city has gained many applications, which integrates the concept of Information & Communication Technology where various devices are connectedto optimize the efficiency of citizen usage. One of the important considerations of being a smart city is the availability of a smart parking facility for 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. A major problem in parking is the time consumption, as the driver struggles 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. Its corresponding sensor node, which comprises a number of IR sensors, detects the status of each parking slot and it is reported periodically to a database. Later, the collected data is converted into meaningful information, which can be viewed via an LCD display. This display is placed at the entry gate of the parking. In this system, 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 every slot and then connected to the raspberry pi for detecting the vehicle’s presence in the slot. And two IR sensors are placed at the entry and exit gate for detecting and counting vehicles. Information from these sensors will be displayed on the LCD. The gate control depends on this sensor’s value. If no slot is available the gate will not open, displaying “No slots available” in LCD. Web-cam is placed in the 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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