Gupta, Nisha (2016) Automatic Number Plate Recognition Using Raspberry Pi2 in Shovel-Dumper Combination. BTech thesis.
A designing of a system which captures the image of the number plate automatically of a Shovel-Dumper combination and these details were verified using Raspberry Pi2 processor for authentication. This system captures the number plate of shovel and dumper further processing for the character recognition. Automation is the most frequently spelled term in the field of electronics. The hunger for automation brought many revolutions in the existing technologies. This paper makes use of an onboard computer, which is commonly termed as Raspberry Pi2 processor. It acts as heart of the project. This onboard computer can efficiently communicate with the output and input modules which are being used. The device which is able to perform the task is a Raspberry Pi2 processor. When any vehicle passes by the system, the image of the number plate of every vehicle is captured using camera. The image of the number plate details are fed as input to the Raspberry Pi2 processor. The Processor takes responsibility to check the authentication details of every shover and dumper. Once the details are recognized then the processor operates it detects an unauthorized image of number plate was detected. To perform this task, Raspberry Pi processor is programmed using embedded ‘Raspbian’.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Vision,OCR,Neural networks,Car licence plate,Real-world application etc.|
|Subjects:||Engineering and Technology > Mining Engineering|
|Divisions:||Engineering and Technology > Department of Mining Engineering|
|Deposited By:||Mr. Sanat Kumar Behera|
|Deposited On:||06 Dec 2016 17:17|
|Last Modified:||06 Dec 2016 17:17|
|Supervisor(s):||Himanshu , V K and Prakash, N|
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