Reduce hardware costs in Internet of Things using Python

An electronics teacher's perspective

Vijay Sajjanar

Beginners Case Study Data Internet of Things Web Crawling

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I guide students in developing systems which are real world and need less hardware. This is possible in 2 steps. One,reduce collecting data which is already available online. Two, compute on cloud instead on the hardware.

Cloud computing and Web services have opened a plethora of ways which were science fiction for electronics academia. Python packages such as requests, beautifulsoup and pyserial automate electronics at the grassroot level pushing all complexities to the cloud.

This talk is about how I motivate students to use python for tasks which otherwise would require complex setup and costly hardware. I will present case studies of accessing websites (ethically per se!) of Indian Meteorological Department and Indian Railways for Internet of Things.
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Type: Poster session (45 mins); Python level: Beginner; Domain level: Beginner

Vijay Sajjanar


Vijayakumar Sajjanar is teaching Electronics from past 7 years in India. His specialization is in VLSI (Very Large Scale Integration) and Embedded Systems. He has published three articles in Electronics for You magazine 'efymag'dot'com'. His areas of interest include Internet of Things, Machine Learning and Automation. The requirement of data analytics and internet in embedded systems prompted him to self learn python and its applications. Currently he is upgrading his skillset to include cloud computing and web services for electronic projects.