Aug 10

30 Minutes to Build a Visualization Widget Using Vue.JS

By Vishwasrao Salunkhe | Open Web

In this blog post, we will explore the “new kid in the block” in the javascript UI framework space. We are talking about Vue.JS. VueJS provides a slightly different approach to the usual View focussed javascript UI frameworks and does seem to have a slight edge over others. In this post, we will do a quick Vue.JS tutorial and also show you how to build a Vue.JS widget using a simple visualization component.

Jul 07

Build an Interactive and Visually Driven Online Campaign with Watson Visual Recognition

By Shyam Purkayastha | Machine Learning

There are many occasions where visual content delivers more engaging and enriching experiences than the typical data-driven approach. Using IBM Watson Visual Recognition service, you can analyze and extract objects from images to gather quantitative data.

In this tutorial, you’ll leverage Watson Visual Recognition to build a worldwide campaign to experience the power of visually-driven data stories. The tutorial will show you how to leverage the IBM Watson Visual Recognition capabilities to build an interactive, image-driven storyline.

Jun 27

Model IoT Application For Tracking Kitchen Inventory

By Shyam Purkayastha | Internet of Things

What goes together better than the Internet and food? But there’s more to this delicious combination than just posting photos of last night’s meal on Instagram. Continuing our theme around the “Internet of Things,” we present another possibility from this game-changing technology. This time, it is a use case on IoT for inventory management. In this blog post, we’re going to use IBM Bluemix and PubNub to build an application that will transform any dumb kitchen by enabling automatic inventory tracking. You’ll never run out of bacon again!


Jun 15

How smart garbage bins powered by LoRaWAN can become an integral part of a smart city

By Surya Igor | Internet of Things

Following my earlier post on Introducing the Microchip RN2483, I am writing this application blog post to showcase how LoRaWAN can be used for enabling waste management by means of a smart garbage bin. LoRaWAN provides long range wireless communication with ultra-low power consumption that enables very long battery life.

We built a proof of concept for garbage bin level tracking device, based on Raspberry Pi + Arduino Uno, and then optimized it further with a custom circuit to make a production grade bin level sensor(BLS) for smart city use cases. In this post, we will show you how you can quickly hack together a proof-of-concept of a functional smart garbage bin on Raspberry Pi using LoRaWAN. For more details about the custom BLS, please get in touch with us.

Jun 08

Build a Facilities Management IoT Chatbot with Azure IoT Hub

By Aravindan Chandrasekaran | Internet of Things

Managing thousands of IoT devices via a dashboard may not always be the most intuitive way. After all, who wants to scan through the clutter of a thousand different things and their notifications. In this blog post, we show you a unique approach to solve this problem through an IoT chatbot. Just like you chat with your co-workers, you can also chat with your devices, and they can respond back too.

Read on to know how a facilities management team interacts with the device/assets via a chat interface to make their maintenance chores easier and seamless.  This chat interface is powered by the Azure IoT Hub and PubNub. 

May 15

Remote Control Raspberry Pi LED from Web Browser

By Aravindan Chandrasekaran | Internet of Things

One function that makes the Internet of Things the Internet of Things is remote control of devices, being able to trigger action from a remote location. This is otherwise known as remote configuration. Whether it’s a home, an office, or an industrial site, connected devices rely on some form of automation through sensors or machines and need a mechanism to control their operation remotely.

May 11

Beat the Rush Hour Traffic with Machine Learning using Tensorflow

By Shyam Purkayastha | Machine Learning

TensorFlow is one of Google’s flagship machine learning toolkits. Originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization, Tensorflow found adoption in conducting machine learning and deep neural networks research. Subsequently, it was open sourced and is now available as a general purpose ML toolkit for a wide variety of applications. In this blog post, we will show you how to use the kNN routines of Tensorflow to solve a fundamental problem of city commuters, the traffic jams.

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