Solving Real World Problems - smartly
Real world problems are those that affect the "quality of life” - economy, security and environmental sustenance, not luxury! Unfortunately, a “Smart Home” is often misconstrued as a hi-tech home where everything happens at the touch of a button (opening curtains, mood lights - all this is not smart, it’s lazy!).
In this talk, I address automated metering, monitoring and management - things that matter to us from a standpoint of economy, security and saving environmental resources!
- Smart homes monitor and save money on utilities like electricity, water and gas! We shall see a demo of Smart Electricity Management - imagine your electricity at home being 'topped up' like your pre-paid or post-paid mobile phone!
- Next generation mass-accommodation for the low income group - "Affordable Smart Housing"® - sustainable, environment friendly, off-the-grid hotels with room rentals as low as 2$ per night.
- Solving Industry Effluent / Pollution Control using lightweight IoT constrained devices connecting to an IoT cloud that has predictive analysis and machine learning capabilities to suggest improvements in industrial efficiency.
- Waste Management Plants being monitored and managed at a scale of 450 TPD (tons per day)!
These are not mere concepts! These are actual real-world implementations that are making a difference!
I discuss the technology stack for the IoT cloud that scales to a billion datapoints per day and over 1 million devices. I shall also discuss how easy it is to scale and replicate this in different geographies.
The audience should take away the right sense of what a Smart City really is!
Outline/Structure of the Talk
The video is attached about where I had given this talk to a smaller audience. This will be the upgraded version of this talk!
The intent of this talk is to 3 fold:
+ Get people the real-world perspective of how we can improve the quality of life among the Low Income Group.
+ See the use of technology to solve problems of basic necessities with a "pay as you go" model.
+ Understand the large scale of an IoT cloud infrastructure and how not to misunderstand buzz words.
Techies, IoT enthusiasts, Data Scientists,