HomeIoTAnalytics

IoT data analytics platform to process and analyze in real-time data coming from IoT devices across smart homes.

What this platform provides are:

Demonstration

Features

Scalability

Data is collecting from crowded users (approx. 10.000 to 1 million users.).

Real-time

Data processing and visualization is done in real-time.

Machine Learning

Such predicts and estimations can be done by ML algorithms.

Data Visualization

Estimations and data by itself can be visualized with some charts in real.

About Project

Thanks to the recent advances in IoT technologies, there is continuous flow of data from various devices and sensors across homes. This data is currently collected in the cloud, and by analyzing this data, a variety of new services will be created.

The aim is to design and implement a tool to process and analyze in real-time (on-line) data streams coming from devices and appliances across smart homes. In real life, several thousands of IoT enabled home appliances are connected to a centralized computing facility and these devices send streams of data at different speeds and intervals. The incoming data is processed on-line not in batch, though it could be stored for further use. For Arçelik which is one of the leading home appliance manufacturing companies in Europe and in the world, it is essential to apply data analytics for the stream data originating from home appliances for several tasks such as finding anomalies, detecting concept drifts and for creating new services.

Our Team

Ali Alper Yüksel

METU / Bachelor's

Hasan Hüseyin Duykop

METU / Bachelor's

Tunahan Öcal

METU / Bachelor's

Zeki Ören

METU / Bachelor's

Prof. Dr. M. Volkan Atalay

METU

Supervisor of Project

Contact Us




Partners

i