Due to this unexpected pandemic we are going on these days, wearing a face mask became mandatory to save ourselves as well as others from the virus. But it is difficult to monitor every citizen whether he is wearing a mask or not. But it is very important. So, to overcome this problem we came up with a solution to monitor every citizen using a deep learning concept. So, we are developing a face mask detector with opencv/keras. This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it. We tried using different types of platforms such as mobilev2net and resnet architecture but the accuracy of resnet architecture is more compared to the other architecture.
Nowadays automation of the house is one of the
fast growing branches of IoT. Everyone is interested in
automating their houses. So this automation is normally made
using arduino, relay board, HC-05, and other sensors. So our
aim is to demonstrate home automation using thingspeak both
auto and manual. In this we are using both automatic and
manual mdes. so that users can switch between these modes
easily and can run the appliances. to know whether the status
of ac or heater is changed after giving the command we are
displaying this information in a web page, it keeps updating for
every few seconds so that you can easily check whether the
appliances are switched on or off.
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