IOT has tremendous potential in a number of industry verticals including Smart Waste Management, Energy, Telecom, Transport, and Manufacturing.
We aim to build products that solve global challenges in the following areas:
(A) Smart Waste Management
(B) Urban Transport
(C) Energy efficient data centers, mobile base stations and networks
Product example: Waste Management powered by Robotics and Internet of Things (Launching Soon!)
In early 2016, while reading about growing challenges of landfills across India and the dismal rates of recycling in the country, I (Jaidev Shah) came up with the idea to use multiple interconnected robots connected to the cloud to solve them. The solution aims to solve three major problems with landfills in India and other countries with underdeveloped waste management and recycling infrastructure:
1)Health hazards faced by waste collection workers inside Landfills
2)Inefficient collection of recyclable waste materials
3)Spontaneous Landfill Fires caused due to Methane from biological decomposition, leading to release of toxic gases
With the help of two school friends, Fablabs-CEPT facilities and guidance from Fablabs engineers, I built a working model with the concept of using IoT driven robotics to make collection of recyclable waste in landfills as well as detection of landfill fires more efficient. We presented that model at Intel Tech Challenge 2016 as well. Along with autonomous collection of recyclable materials from a landfill area/ urban waste collection center by mapping it into into a (x,y,z) coordinate system, the model (equipped with gas and temperature sensors linked to the cloud through a mobile application) also uses an accurate algorithm for early detection of landfill fires by analysing the PPM of specific gases like Hydrogen Sulphide.
Further enhancements will be identifying and collecting plastics, e-waste and metals from high concentration areas using both Machine Learning based Image Recognition and Location Mapping, multiple robots interconnected through M2M (Machine to Machine) technology recording readings real-time, instantly detecting spontaneous landfill fires and notifying the concerned authorities with a precise location before the fire spreads and causes layers of dangerously toxic smog.
The valuable data of landfill emissions at specific coordinates inside a landfill has tremendous applications in the burgeoning WTE (Waste To Energy) Market by optimizing production of biogas from methane-dominated landfill emissions.
Provisional Patent (For using autonomous multi-robot systems for Landfill Waste Management, Landfill Emissions Tracking and Fire Detection) number: 62/420,495