Internet of Things (IoT)

How to Process and Present IoT Data on Microsoft Azure?

Posted on October 12, 2017 by Akash Pandey | Comments(0)

In my previous article on “ESP8266 Connectivity with Azure IoT Hub” we have seen, how to connect IoT device with Azure IoT Hub. We also discussed about how to configure and connect ESP8266 with Azure IoT Hub for hyper-scale messaging in a secured way.We have data from different IoT devices on Cloud, but it is futile unless we can process that data and present it in some way.

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MITCSY: Our Endeavor in Cloud Robotics

Posted on October 10, 2017 by Chirag S | Comments(0)

CloudThat has always been a major proponent of emerging technologies such as the Cloud, Big Data and AI. Although technologies and concepts such as Big Data and Machine Learning are considered new, IoT is a concept that is newer still. Numerous Cloud service providers such as AWS and Azure have stood up and taken notice of this emerging field.

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Quick Guide for Processing GPS Data with Azure Stream Analytics: Geo-spatial Functions

Posted on May 2, 2017 by Arzan A | Comments(0)

Tracking the location of a vehicle has become a very common task carried out by various industries like transport and logistics. But as the world is rushing towards smart solutions in every aspect, it requires much more than just tracking a vehicle. I always say “Data is money”. This stands true even for GPS data which can open an ocean of opportunities for building up smart solutions for fleet management, logistics, automobile remote monitoring / maintenance, security, weather forecast, etc.

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The revolution chip – ESP8266

Posted on April 14, 2016 by Akash Pandey | Comments(1)

It looks like one has work dedicatedly with Arduino and decided to sit down on a Sunday afternoon to write his wish list to tooth fairy with everything he wanted to see in the next generation Micro Controller Unit, but instead of sending that wish list to Fairyland, it was sent to China, where the brilliant minds of Espressif materialized ESP2866, which come at a ridiculous price point of $3 – $6.

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