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Video Analysis for Malpractice Detection in Classroom Examination

Publication Type : Book Chapter

Thematic Areas : Wireless Network and Application

Publisher : Springer India, New Delhi.

Source : Springer India, New Delhi, p.209–217 (2016)

Url :

ISBN : 9788132226710

Keywords : Indoor air quality Sick building syndrome Wireless sensor networks GUI HVAC

Campus : Coimbatore

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Wireless Networks and Applications (AWNA), Computer Science

Year : 2016

Abstract : This paper describes a wireless sensor network-based indoor air quality monitoring system. The indoor air quality defines the quality of the environment where people live. Here wireless sensor network serves as the tool for estimating the indoor air quality. The WSN comprises sensor nodes and a coordinator node which communicates using the IEEE 802.15.4 wireless standard ZigBee wireless module. The indoor air quality estimation is done by interfacing CO2, temperature and RH (Relative humidity) sensors with the sensor node. The sensor node gathers the sensor data and reports it to the coordinator for real-time monitoring using a GUI (Graphical user interface) developed in Java NetBeans to run on windows PC. The collected data can be used to maintain the environment parameters by interfacing it to a HVAC (Heating, Ventilation and Air Conditioning) system.

Cite this Research Publication : S. V. Girish, Prakash, R., Swetha, S. N. H., Pareek, G., Dr. Senthil Kumar T., and A. Ganesh, B., “Video Analysis for Malpractice Detection in Classroom Examination”, P. L. Suresh and Panigrahi, K. Bijaya, Eds. New Delhi: Springer India, 2016, pp. 209–217.

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