OMR stands for Optical Mark Recognition. It's a technology used to detect marks made on paper, usually with a pen or pencil. This technology is often used in applications like grading standardized tests, surveys, and forms where responses are indicated by filling in bubbles or checking boxes.

Paper Preparation The paper used in OMR systems is typically pre-printed with specific marks or alignment guides. These marks help the OMR scanner align and interpret the responses correctly.

Mark Detection When the filled-out form is scanned, the OMR scanner uses optical sensors to detect the marks on the paper. The sensors usually shine a light onto the paper and measure the amount of light reflected back. Areas with marks will reflect less light than blank areas, allowing the system to differentiate between marked and unmarked regions.

Data Processing The scanner's software processes the data from the sensors. It identifies the marked areas based on the contrast between marked and unmarked regions. The software then converts these marks into digital data, such as a series of 1s and 0s or other representations of the answers.

Data Output The processed data is then used for whatever purpose it was intended, such as grading tests, compiling survey results, or inputting data into a database.

OMR technology is efficient and widely used because it allows for fast and accurate data entry from paper forms. However, it is essential that the marks are made clearly and within the designated areas to ensure accurate recognition.