The concept of smart classes is widely used in educational institutions for the better understanding of students. However, with the introduction of the smart classroom in the educational institutions, more electrical and electronic devices are being used. Sometimes the electrical devices are fully operational even if a number of students are less than the required capacity of classroom. This leads to a waste of electrical resources. In order to take care of such loses one has to keep track of everything in the classroom and electrical appliances need to be operated manually. This is very tedious and difficult for a person to always keep track of the strength of students/people in the classroom.
There is a need of an automatic system for controlling ambient conditions of the smart classroom based on the number of students/people present in the classroom. Our primary objective is to develop a system/device, which is capable enough to take the decision to operate the electronics/ electrical appliances in real time environment (by capturing the movement of human being/objects) with the integration of machine learning based techniques.
Ms. Shivani Sood
Email – firstname.lastname@example.org
Mobile – 7986648185