creating a litter-free world

24
Creating a litter-free world

Upload: others

Post on 08-Jun-2022

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Creating a litter-free world

Creating a litter-free world

Page 2: Creating a litter-free world

Join us.A platform powered by people.

Page 3: Creating a litter-free world

Leveraging AI to identify the

objects, materials, and

brands.

Page 4: Creating a litter-free world

Red Bull

Can

Aluminum

Bottle

capPolyethyle

ne

LidPlasti

cMarlbo

ro

Cigar

etteCellulose

Acetate

Cigaret

teCelluose

Acetate

Page 5: Creating a litter-free world

15M 185250KMEMBERS PIECES

DOCUMENTED

COUNTRIES

Page 6: Creating a litter-free world

Data

Analytics

Insights

Data | Insight | Impact

Page 7: Creating a litter-free world

REUSE

REDUC

E

RECYC

LE

RETHIN

A ZERO WASTE WORLD

Page 8: Creating a litter-free world

In the Nether lands, the Community documented

30,000 examples of a candy wrapper. The producer

has commit ted to changing i ts supply chain

From Plastic to Paper

Page 9: Creating a litter-free world

San Francisco used Li t terat i data to

defend in court a year ly $2,000,000 tax

on the tobacco industry.

The data was so compel l ing, the court

ruled to award the ci ty an addit ional

$2,000,000 per year

$4M IN YEARLY

REVENUE FROM DATA

Page 10: Creating a litter-free world

OUR DATA WAS USED TO QUANTIFY THE NEED FOR

DEPOSIT

Deposit Return Scheme and better handle plast ic. They decided to expand the

program in 2021

Lit terat i Data Helps the Nether lands to Update the

Page 11: Creating a litter-free world

How it Works

Page 12: Creating a litter-free world

Creating a Complete Data

Picture

Page 13: Creating a litter-free world

Segment

Analysis

Page 14: Creating a litter-free world

AI Identifying Cigarette Butts

Page 15: Creating a litter-free world

Identifying the Local Infrastructure

Page 16: Creating a litter-free world

From Street to ScaleGlobal

Page 17: Creating a litter-free world

17

Global

• 50 Cities

• 40 Countries

Page 18: Creating a litter-free world

Jakarta, IndonesiaClustering Samples

• Population

• Mobility

• Points of Interest

Page 19: Creating a litter-free world

Exploring the data

Page 20: Creating a litter-free world

City Model

Page 21: Creating a litter-free world

City Comparison

Predictor City 1 City 2 City 3 City 4 City 5

Human mobility:

Footfall

Night light

intensity

Population

density

Road density

Food & drink:

Number of POIs

Page 22: Creating a litter-free world

Global Comparison

Page 23: Creating a litter-free world

• Baseline studies

• Longitudinal studies

• Specific Hypothesis

• Infrastructure Efficiency

• Single Use Plastic leakage

• …

Geospatial applications

Page 24: Creating a litter-free world

The world’s most detailed litter data.

Dick Ayres

Chief Strategy Officer

[email protected]