As a part of my 1st semester project, I have built a Secret Knock Detecting Door Lock using Arduino which can detect the pattern of your knocks at the door and will only open the lock if the knocking pattern matches with the correct pattern.
In this Project, We have consider to parameter Drowsiness and safe distance. For that we generate the alert by buzzer when People will Drowsy and we cross the safe distance and we consider the general formula of safe distance using MYOSA kit and Raspberry PI. Project demonstrated at the event organized by IEEE MYOSA team at Delhi, India.
Our proposed system will be attached in the vehicle and it will detect that whether the car is in motion and if so it will block the network. All calls and messages are diverted to the systems GSM. A notification will be displayed on the screen for the user.
In the generation of smartness, our vision is to make a smart classroom to improve the quality of learning. It can improve the active learning process and students can easily find the actual learning outcomes. There are so many modules like real time feedback system and clicker based fast assessment quiz, smart attendance system automation of appliances, etc.