Bluetooth Camera based Online Examination System with Deep Learning

In recent years with the rising popularity of MOOCs and due to the coronavirus outbreak, the need and demand of online examination solutions has increased tremendously. Online examination posed various challenges of security and fairness. Despite a wide range of research, there exist multiple loopholes in the existing implementation for online based examination systems. This paper aims to implement a reliable mobile based at-home examination system utilising deep learning for cheating detection via object detection models. This paper aims to implement a bluetooth camera device that captures full body images and sends them over HTTPS for cheating detection.