Description: CarSafe is a proposed Android based application that aims to help the user avoid dangerous driving. But it requires high computations in a smartphone which makes it unusable for smartphones with limited computation powers. Thus CarSafe-Q is a quick solution in which we offload its computation to a dedicated portable server within the car. We used Raspberry Pi as the portable server.
Technologies Used: Android, Python, OpenCV (Haar-Cascade to extract various facial features)
Published by Milan Jain
"Technology is nothing. What's important is that you have faith in people, that they're basically good and smart, and if you give them tools, they will do wonderful things with them" - Steve Jobs. We are here to design technology that assists people, not to replace them. Today, we are surrounded by the sensors which are generating an enormous amount of information. While this giant pool of data can learn a lot about human behavior, with the right intent, data and technology together can genuinely benefit the people. If data can identify that a person is under stress, technology should provide a way to reduce that stress. I am a data science researcher and primarily works at the intersection of data science and smart homes. Being a researcher, I keep exploring novel and innovative ways to make homes energy efficient, comfortable, and sustainable.
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