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Android's OMR Sheet Scanner with Image Processing

Seema Shivapur

Abstract


The method for determining whether or not an imprint is present in a predetermined location is optical imprint acknowledgment. Currently, OMR is utilized as a data tool for the information section. A scanner is typically used to examine OMR sheets. This project aims to eliminate the need for scanners to scan OMR sheets by sending an image of the sheet to a server using a smartphone. The server will process the image, identify the marked zones, compare the values, check with an input key, and display the total. The MongoDb is then used to store the data. This project will simplify the process by dividing the task among the faculty assigned into smaller tasks, taking advantage of the widespread availability of smartphones. Furthermore, with smartphones' improved cameras, we can now obtain much more precise results. Additionally, the app can be used for Internet of Things (IoT) because it is implemented in Flutter with dart. Because the processing is done in the back end, the app is light. The project is an innovative example of how to use new technological advancements to solve problems at their simplest levels, thereby reducing the system's overall complexity. JSON is used to store the results.

 


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References


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