CHECKit - A low cost mobile OMR system

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1 CHECKit - A low cost mobile OMR system Rahul Patel rahul.patel@iet.ahduni.edu.in Shashwat Sanghavi shashwat.sanghavi@iet.ahduni.edu.in Dhruv Gupta dhruv.present@gmail.com Mehul S Raval mehul.raval@ahduni.edu.in Insitute of Engineering and Technology, Ahmedabad University Ahmedabad India October 24, 2015 Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

2 Table of contents 1 Motivation and Problem statement 2 Evolution of OMR technology 3 CHECKit as a System 4 Technologies 5 OMR and GUI design 6 Demo 7 results 8 Conclusion and future work 9 References Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

3 Motivation and Problem statement Motivation and Problem Statement Need of continuous evaluation for effective education. Existing OMR systems are expensive and involve huge manpower. Need of the system which can evaluate the OMR sheet as soon as the exam is over. Challenges with mobile phone based OMR system- 1 Document processing from a mobile camera photograph 2 Speed to process one OMR sheet Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

4 Evolution of OMR technology Evolution of OMR technology Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

5 CHECKit as a System CHECKit as a System Figure: Flowchart of the system Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

6 Technologies Technologies used for CHECKit Figure: Venn diagram of technologies used in CHECKit Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

7 OMR and GUI design OMR and GUI design Figure: OMR layout Figure: Graphical user interface Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

8 Demo Demo Video Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

Results 1/2 results CHECKit algorithm is teolerant to: Inconsistent background Inconsistent lightings Varied image size Random skew Rotation of the photo till 360 o

9 Results 1/2 results CHECKit algorithm is teolerant to: Inconsistent background Inconsistent lightings Varied image size Random skew Rotation of the photo till 360 o Camera ranging from 3.2 megapixel to 12 megapixel Figure: input to output of the algorithm Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

10 Results 2/2 results Time taken to process 120 images with 5 phones: 10 minutes Phase Method Unit Correct Incorrect Mark incorrect Accuracy 1 Self-tested Quiz Quiz Quiz Quiz Accuracy = Correct Unit Mark incorrect 100 Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

11 Conclusion and future work Conclusion and future work OMR is one of the majorly used data acquisition tool. Third generation OMR will bring in mobility. Accuracy same as second generation OMR or higher is a challenge. Analytics over data gathered will help to analyze actual learning of the student. Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

12 References I References H. Deng, F. Wang, and B. Liang, A low-cost omr solution for educational applications, in Parallel and Distributed Processing with Applications, ISPA 08. International Symposium on, Dec 2008, pp K. Atal, A. Arora et al., Cost effective optical mark reader. International Journal of Computer Science & Artificial Intelligence, vol. 3, no. 2, G. Dejan, G. Nikola, and M. Dragan, A simple system for automatic exam scoring using optical markup reader, in Second Balkan IFAC International Symposium, 2000, pp A. Parmar, Bridging gaps in engineering education: Design thinking a critical factor for project based learning, in Frontiers in Education Conference (FIE), 2014 IEEE, Oct 2014, pp K. Chinnasarn and Y. Rangsanseri, Image-processing-oriented optical mark reader, in SPIE s International Symposium on Optical Science, Engineering, and Instrumentation. International Society for Optics and Photonics, 1999, pp J. Canny, A computational approach to edge detection, Pattern Analysis and Machine Intelligence, IEEE Transactions on, no. 6, pp , K. Zuiderveld, Graphics gems iv, P. S. Heckbert, Ed., San Diego, CA, USA, 1994, ch. Contrast Limited Adaptive Histogram Equalization, pp T. R. Singh, S. Roy, O. I. Singh, T. Sinam, K. Singh et al., A new local adaptive thresholding technique in binarization, arxiv preprint arxiv: , A. Jalote-Parmar, P. Pattynama, R. Goossens, A. Freudenthal, E. Samset, H. De Ridder et al., Bridging the gap: a user centered design approach towards developing technological solutions, Minimally invasive therapies and novel embedded technology systems. Lupiensis Biomedical Publications, pp , Shashwat Sanghavi CHECKit - A low cost mobile OMR system October 24, / 12

OPTICAL MARK RECOGNITION (OMR) is technique

OPTICAL MARK RECOGNITION (OMR) is technique Cost Effective Real-Time Image Processing Based Optical Mark Reader Amit Kumar, Himanshu Singal, Arnav Bhavsar Abstract In this modern era of automation, most of the academic exams and competitive exams