Abstract
An artificial intelligence (AI)-based smart Internet protocol (IP) camera system for examination monitoring has been designed, realized, and rigorously tested under realistic environment. The purpose of the proposed IP cameras is to carry out real-time remote surveillance of the examination hall as well as store corresponding videos recordings in cloud storage. Internet-of-things (IoT) technology is used to remote access of the IP cameras and real-time video streaming on web-browser of any computer/smart phone connected to either internal or external network; a dedicated cloud service (named “remoteit”) is used for this purpose. Practically, 640 × 480 sq. pixels with 30–35 frames per second (fps) video capturing are used for the online streaming. On the other hand, compressed video size of 320 × 240 sq. pixels with 30–35 fps is used for recording and storing in cloud. In addition, a custom TensorFlow lite model has been built for detecting undesirable chaos in the examination hall, and a bulk short messaging service (SMS) application programming interface (API) is used to send real-time alert to the competent authority in order to initiate necessary action. In future, the proposed system may be customized for various other sectors for security and alerting purposes.
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Bose, S., Ghosh, S., Dhang, S., Karmakar, R., Dey, P., Acharyya, A. (2023). IoT-Based Smart Internet Protocol Camera for Examination Monitoring. In: Bhattacharyya, S., Das, G., De, S., Mrsic, L. (eds) Recent Trends in Intelligence Enabled Research. DoSIER 2022. Advances in Intelligent Systems and Computing, vol 1446. Springer, Singapore. https://doi.org/10.1007/978-981-99-1472-2_21
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DOI: https://doi.org/10.1007/978-981-99-1472-2_21
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