Education Sector IT solutions
The OmrCUBE project is designed to describe and read various types of fixed forms with a minimum amount of user settings.
• OmrCUBE uses image processing algorithms to minimize processing time.
• OmrCUBE operations take place in two stages. First stage form definition process. The second stage is the loading and processing of response papers in the system.
To evaluate the answers of the candidates entering the exams in a short time with zero errors.
Creation of OMR component in OCR / ICR systems
Hardware that can be used:
'Cameras fitted on OMR devices
• The 'Select Template' button selects the type of response key to be analyzed.
• The selected document is scanned for various operations.
For example; The curvature around it is cut off. This will resize the form.
• Template definition requires minimum user settings in the process.
• Minimizes time cost by performing zone based processing.
• No pre-identification is required.
• Flexible outputs.
• Provides flexible verification rules.
Currently, OMR devices are used in the measurement and evaluation stages of the various exams in the General Directorate of Measurement, Evaluation and Examination Services of the Ministry of National Education
There are three technologies that are used in evaluating the exams. These
OMR (Optical Mark Recognition) devices
Solutions using ICR (Inteligent Character Recognition) technologies
Base solutions with image processing technologies
OMR (Optical Mark Recognition): It is a system that allows to read and process data from customized forms and to store this data in computer systems. The OMR form OMR passes through the reader and the previously marked fields are read and the information can be exported.
Optical Mark Reader (OMR Scanner) - Optical Mark Recognition (OMR Scanner): It is a special scanner device and it is the reading of the pen marked parts from the predefined positions in the purpose OMR form.
OMR devices are devices based on the principle of perception of optical signals used in the world since 1930 by means of various sensor arrays.
The working principle of Optical Character Recognition is working in the direction of "Light Reflection Laws". In other words, the incoming beam, the reflected beam and the surface are normally in the same plane. The angle that the incoming beam normally does is equal to the angle that the reflected beam normally does. The rays coming in the normal direction are reflected back in the direction they come from. This means that the glossy surface reflects more light than the darker surface, and OMR uses the sensors on the scanners to determine the darkly marked areas on the OMR form, because these areas are more reflective than the unmarked areas. If the browser sees a form that is half-filled (incorrectly filled), it detects it as an error or marks the corresponding fields as incorrect.