Energy Efficiency in smart home / buildings by activity recognition and prediction

Energy Efficiency in smart home / buildings by activity recognition and prediction

We have to recognize the human activities inside the building and use this information to optimize the energy. P.S. without using camera.

Artificial Intelligence

Description

Human behavior based on its movement has become important in prediction of the various activities performed by an individual in smart environments. In Activity recognition, we need to recognize the individual’s current activities. We are planning to model for human activity recognition using sensor data. For sensor data, we are planning on three modules each comprising of PIR, PING and LIGHT sensors. All these sensors will give us different sensor values of the people activities happening in the lab. We are planning to use this data to recognize the human activities and predict / forecast the activities to save energy.

Gallery

Medium img 20170629 212404

Edwin M. created project Farm Assist

Medium 905fb95f 6880 42b7 b6e5 7f583fb52138

Farm Assist

With everything going digital, there’s need for a digital platform that allows farmers to automate their farm activities such that they have visibility of the farm progress anytime anywhere on single click. Coming up with a digital online platform, Farm Assist (FA), an internet application software, will help farmers to solve these problems in a more efficient and less costly way leading to increase in production.

Medium 19657140 1605089572855250 3345190797171908989 n

Tushaar G. updated status

Medium 19657140 1605089572855250 3345190797171908989 n

Tushaar Gangarapu

Hello everyone, I am Tushaar. I am currently pursuing my bachelors at NITK. I developed passion towards AI and Machine Learning, had mentored the same at a mentorship program and currently was working on "Real Time Sensor based Weather Analysis and Prediction using Cloud Analytics to Improve Agricultural Yield". At the moment all we have are basic regression models which actually work with an 80 percent efficiency approximately. The repositories related to both the mentorship program and the regression models can be found on my GitHub account.

See More

No users to show at the moment.

No users to show at the moment.