Student Invigilation System Using Modified Faster RCNN

Author:

Malhotra Manit,Chhabra Indu

Publisher

Springer Nature Singapore

Reference14 articles.

1. Nishchal J, Reddy S, Navya PN (2020) Automated cheating detection in exams using posture and emotion analysis. In: 2020 IEEE international conference on electronics, computing and communication technologies (CONECCT). IEEE, July 2020, pp 1–6

2. Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: towards real-time object detection with region proposal networks. Adv Neural Inf Process Syst 28:91–99

3. Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861

4. Karim IN, Ab Kadir D, Ali F (2020) Development of detection system on suspicious behaviour during exam. J Comput Technol Creative Content (JTec) 5(2):75–81

5. Khalaf K, El-Kishawi M, Moufti MA, Al Kawas S (2020) Introducing a comprehensive high-stake online exam to final-year dental students during the COVID-19 pandemic and evaluation of its effectiveness. Med Educ Online 25(1):1826861

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