Using Computer Vision for Online Exam Proctoring
Blog post from Roboflow
The shift towards online learning has necessitated the development of technologies to maintain academic integrity during remote exams, with online proctoring systems becoming essential tools. This guide outlines the creation of an online proctoring system using computer vision to detect unauthorized phone use during exams. The system utilizes a trained object detection model from Roboflow Universe, a webcam for real-time monitoring, and Roboflow Inference for deploying the model. It describes the setup process for Roboflow Inference using either a Docker interface or a Python library, ensuring consistent performance across different environments. The system is designed to trigger alerts upon detecting phone usage, thereby promoting fairness and honesty in online assessments. As educational practices evolve, integrating such technologies can help uphold examination standards in the digital age.