GreeNest
01
Making waste a valuable asset.
Evija Iesalniece
Franck Pagnoux
Salijona Dyrmishi
Diyar Shyrymbek
Team:
Supervisors:
Problem
As it stands today, the majority of our garbage ends up in landfills!
Waste recycling is becoming more expensive due to quality requirements set by main waste importers!
"Annual waste generation is expected to increase by 70% from 2016 levels to 2050"
World Bank
2
Bring the waste management actors of the chain closer together
Use AI to make waste management effective
Sort from the source
Solution
3
4
The number one way to help MRF is by not contaminating your recycling load by “recycling” plastic bags and straws.
Manual sorting in San Fransisco
In 2018, China, stipulated materials must be sorted and uncontaminated.
The processing cost per ton is $82, versus a value of around $45 per ton
A dirty MRF recovers between 5% and 45% of the incoming material as recyclables. The rate for clean MRF is smaller
Why the current waste management cycle is not effective?
5
EU
Slovenia
Germany
Austria
Lithuania
Belgium
Netherlands
Italy
Luxembourg
Denmark
Sweden
UK
France
Ireland
Finland
Bulgaria
Hungary
Slovakia
Spain
Czechia
Poland
Estonia
Latvia
Portugal
Croatia
Greece
Cyprus
Romania
Malta
100
75
50
25
0
2010
2011
2012
2013
2014
2015
2016
75
50
25
0
From Global to Local
Waste treatment 2018 EU-28
48% Recylcing
29%
Waste-to-energy
23% Landfills
Municipal waste
Packaging waste
Waste excluding mineral
Electrical & Electronic
Recycling in EU by waste stream
6
9
GreeNest
Monthly
subscription fee
Accurately sorted & compressed waste
Free Smart Bin
Waste collection trucks
Bin statistics
7
GreeNest
Monthly
subscription fee
1
Accurately sorted & compressed waste
Free Smart Bin
Waste collection trucks
Bin statistics
1
7
GreeNest
Monthly
subscription fee
Accurately sorted & compressed waste
Free Smart Bin
Waste collection trucks
Bin statistics
7
1
2
1
1
1
GreeNest
Monthly
subscription fee
Accurately sorted & compressed waste
Free Smart Bin
Waste collection trucks
Bin statistics
7
3
2
1
GreeNest
Monthly
subscription fee
Accurately sorted & compressed waste
Free Smart Bin
Waste collection trucks
Bin statistics
7
3
1
2
SMART BIN
Image recognition + sensory information (i.e weight)
83-95% accuracy depending on type of waste
As good as human experts (0.86 versus 0.88 AUC)
Every time we interact with the bin
Ultrasonic sensors to measure the garbage level.
Alert when bin is full
GreeNest
Object classification
Data colletion
Sorting & Compression
How does it work?
Contamination detection
8
Software
Data collection
Connected to the bin display
Interface for household owners
How does it work?
Interface for the recycling companies
9
Our collaborators profile
Metal
34.1%
Plastic
23.7%
Paper
20.6%
Organic
14.1%
Glass
7.6%
Recycling companies globally by sector
10
GreeNest Catalog
11
Recylcing benefits
Household benefits
How much you need to invest to start?
Offer proposition
Finance
300
11
Cost per unit
84000
ROI per year
(based on 1000 bins)
7
Monthly subscription per bin
20000
Licence for unlimited user
Team
Salijona Dyrmishi
Tartu University
Data Science
Diyar Shyrymbek
Estonian Entrepreneurship University
Software Development & Entrepreneurship
Sustainability, Circular economy, Waste to energy
Appendix
The total cost of bin
Service
1 - Direct channels of communication
Recycling companies
Product receival
Problems
Benefits
1 - Free smart bin installation and maintenance
2 - Continuous statistics via dashboards
3 - Client acquisition
Service
Households and industrial buildings
Product receival
Problems
Benefits
Competitors
Bin-e is a smart waste bin that recognizes, sorts and compresses the waste automatically. It was born out of the need for a smart waste separation solution in places where an efficient sorting system is hard to introduce.
Poland
Stage: Start-up
EU waste hierarchy/framework
Key Partners
Recycle companies
Government/ Municipalities
Green activists/ influencers
Key Activities
Create a software
Build Smart bin
Offer the logistics
Value propositions
Smart service
Sorted waste from each household
Contamination detection
Customer Relationships
Customer Segments
Households
Recycle companies
Key Resources
Data of waste collection
Software
Trucks
Smartbin
High Level Concept
How does your product or service fit into the grand scheme of things?
Channels
Eco influencers
Cost Structure
Hardware, Software
Maintenance, Trucks
Salary expenses
Revenue Streams
Recycle companies
Construction companies
Responsible behaviour
Informations - access to data via software