Building an OMR Scanner and Test Grader with OpenCV
Building an OMR Scanner and Test Grader with OpenCV 📄 Building an OMR Scanner and Test Grader with OpenCV 🧠 Introduction Optical Mark Recognition (OMR) technology detects and captures human-marked data from documents like surveys, tests, and assessments. It is widely used in education and professional fields to automate grading, making it fast, accurate, and cost-effective. 🎯 Why Use OMR? ✅ Fast ✅ Accurate ✅ Cost-effective In this article, we’ll walk through building an OMR scanner and test grader using OpenCV, a powerful computer vision library in Python. 🔍 Understanding OMR Technology OMR enables machines to recognize marks on paper and convert them into digital data. Accuracy: Ensures minimal grading errors Speed: Processes data rapidly Cost-effectiveness: No manual data entry 🧾 Designing the OMR Sheet Marking Areas: Bubbles or boxes for answers Identification Areas: Student ID/test ID Calibration Marks: S...