Application of IOT in Solid Waste Management

1. Mumbai University
B.E. SEM VII (Civil Engineering)
DLOC: Municipal Solid waste and Hazardous Waste Management
(SHWM)
Module 4
IOT in Solid Waste Management (Part 2)
By
Mrs. Puja Kadam
M.E. ( Civil and Environmental )
Assistant Professor
Department of Civil Engineering,
VCET, Vasai

5. Existing Garbage Bins v/s Smart Garbage Bins

6. SMART REPORTING

11. Data Analysis
• Connected devices record the speed at which bins fill up, while also monitoring how often they are
emptied, and what they contain.
• IoT management systems are where all of this comes together and shines.
• Data unlocks endless possibilities, such as planning better distribution of bins, eliminating incorrect
disposal practices, and even reducing the amount of waste that ends up in landfills.
• Data analytics can help assess trends to better plan waste management processes, leading to a better
allocation of resources and a happier populace.
• And speaking of that happier populace, a smart city app can give citizens the ability to input on-the-
ground information, which can be used both in real time, such as when someone reports a smashed
bin or similar, as well as adding that data to data collected from other sources, which can further
optimize processes.

12. Smart Recycling
• According to a report from the UN, 50 million tons of e-waste is generated every year.
• And as the number of electronic devices ending up in landfills is increasing all the time, e-waste has
been identified as a key aspect in solid waste management.
• Discarded electronic devices often contain harmful chemicals, such a lithium from a smartphone
battery, which can leach into groundwater.
• At the same time, these devices present an opportunity to reclaim precious and base metals, such as
gold and copper, in an efficient way.
• IoT management systems allow for a digital record to be made of devices and batteries and once the
battery dies, the location of phones, IoT sensors and other electronic devices can be activated, with
manufacturers or waste managers scheduling a pickup – and even bringing a replacement, long
before they ever end up in a landfill.

13. • The ability to embed IoT technologies into receptacles also allows for the use of
machine learning, AI, and computer vision that can process the type of material in the
container, leading to better sorting and reduced human error, as well as an easier job
downstream at recycling centers.
• Additionally, emerging smart bins are able to identify and sort waste into categories
like glass, paper, plastic, and metal, compress it and notify sanitation workers of fill
levels of each waste category, enabling a more sustainable society.