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LIZARD: Pervasive Sensing for Autonomous
Plastic Litter Monitoring
Farooq Dar, Mayowa Olapade, Abdul-Rasheed Ottun, Zhigang Yin,
Mohan Liyanage, Agustin Zuniga Monica Passanantti, Sasu
Tarkoma, Petteri Nurmi, Huber Flores
1
May 14, 2024, CPS-IoT Week, Hong Kong
2024
Importance
โ€ข Plastic pollution is a global concern.
โ€ข Pollution is detrimental to human health and natural ecosystems
2
Source: https://rochmanlab.wordpress.com/2019/10/11/cleaning-up-our-
hidden-shorelines/
Source: https://www.eenews.net/articles/plastic-makes-up-81-of-trash-in-
national-parks-report-says/
Poor practices
Source: https://www.nationalgeographic.com/science/article/15092-
plastic-seabirds-albatross-australia
Preventing the pollution caused by plastics is extremely important
Animal ingestion Cleaning may too late
Finding plastics and fast removal
โ€ข Visual inspections (humans) and object recognition fail to identify
plastics as they get smaller
3
Source: https://www.scientificamerican.com/article/from-fish-to-humans-a-
microplastic-invasion-may-be-taking-a-toll/
Food chain
How to identify plastic particles?
Source: https://www.scientificamerican.com/article/microplastics-linked-to-
heart-attack-stroke-and-death/
Degradation estimates suggest
that humans can
ingest up to a credit
card worth of micro-
plastics each week
Mohamed Nor, N. H., Kooi, M.,
Diepens, N. J., & Koelmans, A. A.
(2021). Lifetime accumulation of
microplastic in children and
adults. Environmental science &
technology, 55(8), 5084-5096.
Automated solutions
โ€ข Litter cleaning campaigns
โ–ช Visual, smartphone apps (Citizen science)
โ€ข Vehicles
โ–ช Automated sweepers, vacuum-cleaners
4
Source: https://www.khmertimeskh.com/50937897/caring-citizens-
residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/
Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/
Source:
https://www.alamy.
com/stock-
photo/street-
vacuum-
cleaner.html?sortB
y=relevant
Current solutions can identify
plastics (to some extent) but
only larger sizes.
Automated solutions
โ€ข Litter cleaning campaigns
โ–ช Visual, smartphone apps (Citizen science)
โ€ข Vehicles
โ–ช Automated sweepers, vacuum-cleaners
5
Source: https://www.khmertimeskh.com/50937897/caring-citizens-
residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/
Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/
Source:
https://www.alamy.
com/stock-
photo/street-
vacuum-
cleaner.html?sortB
y=relevant
Current solutions can identify
plastics (to some extent) but
only larger sizes.
Automated solutions
โ€ข Litter cleaning campaigns
โ–ช Visual, smartphone apps (Citizen science)
โ€ข Vehicles
โ–ช Automated sweepers, vacuum-cleaners
6
Sophisticated appliances can
identify smaller particles
Source: https://www.khmertimeskh.com/50937897/caring-citizens-
residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/
Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/
Source:
https://www.alamy.
com/stock-
photo/street-
vacuum-
cleaner.html?sortB
y=relevant
LIZARD (Contributions)
โ€ข Low-cost sensing solution: LIZARD uses dual sensing modality
(thermal imaging and light sensing) to detect different (sizes of)
plastics.
โ€ข Rigorous evaluation: Performance evaluation in different urban
locations
โ€ข New insights: Factors influencing the identification of plastic
particles in the wild
7
LIZARD: Overview
8
Source: https://www.freightwaves.com/news/amazon-scraps-scout-home-
delivery-robot
Source: https://www.cittimagazine.co.uk/news/wichita-state-university-
introduces-fleet-of-food-delivery-robots.html
LIZARD: Overview
9
Source: https://theconversation.com/cigarette-butts-are-the-forgotten-
plastic-pollution-and-they-could-be-killing-our-plants-119958
Source: https://www.chroniclelive.co.uk/news/north-east-news/litter-police-
patrol-newcastles-streets-12329375
LIZARD: Pipeline
โ€ข Simply explained
10
Drone design
LIZARD: Phase 1
โ€ข Simply explained
11
Phase 1:
Thermal
analysis
12
Thermal dissipation time
LIZARD: Phase 1
13
LIZARD: Phase 1
LIZARD: Pipeline
โ€ข Simply explained
14
Phase 2:
Light
sensing
LIZARD: Pipeline
โ€ข Simply explained
15
Phase 2:
Light
sensing
Reduce area of
exploration
LIZARD: Phase 2
โ€ข Simply explained
16
Phase 2:
Light
sensing
(top) Wavelet
transformation of light
sensor data,
(middle) change point
scores
and (bottom) change
point detection.
LIZARD: Phase 2
17
LIZARD: Prototype
โ€ข Design and development
18
Larger plastic profile
(thermal)
19
Source: https://www.recycling.com/why-is-plastic-recycling-important/
Small plastic profile
(light)
20
Source: https://www.recycling.com/why-is-plastic-recycling-important/
LIZARD: Evaluation
โ€ข Testbed (TACO locations) โ€“ synthetic design
21
LIZARD: Evaluation
โ€ข Testbed (TACO locations) โ€“ synthetic design
22
LIZARD: Identification performance
23
LIZARD: Identification performance
24
LIZARD: Identification performance
25
Practicability
26
Practicability
27
Comparison
28
Summary and conclusions
โ€ข Low-cost sensing solution: LIZARD uses dual thermal imaging and
light sensing to detect different sizes of plastic particles
โ€ข Rigorous evaluation: Performance evaluation in different urban
locations
โ€ข New insights: Factors influencing the identification of plastic
particles in the wild
29
Questions? Thank you!
Farooq Dar (farooq.dar@ut.ee)
Mayowa Olapade (mayowa.olapade@ut.ee)
Abdul-Rasheed Ottung (abdul-rasheed.ottun@ut.ee)
Zhigang Yin (zhigang.yin@ut.ee)
Mohan Liyanage (mohan.liyanage@ut.ee)
Agustin Zuniga (agustin.zuniga@helsinki.fi)
Monica Passanantti (passanantti@unito.to)
Sasu Tarkoma (sasu.tarkoma@ut.ee)
Petteri Nurmi (petteri.nurmi@helsinki.fi)
Huber Flores (huber.flores@ut.ee) 30

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LIZARD: Pervasive Sensing for Autonomous Plastic Litter Monitoring

  • 1. LIZARD: Pervasive Sensing for Autonomous Plastic Litter Monitoring Farooq Dar, Mayowa Olapade, Abdul-Rasheed Ottun, Zhigang Yin, Mohan Liyanage, Agustin Zuniga Monica Passanantti, Sasu Tarkoma, Petteri Nurmi, Huber Flores 1 May 14, 2024, CPS-IoT Week, Hong Kong 2024
  • 2. Importance โ€ข Plastic pollution is a global concern. โ€ข Pollution is detrimental to human health and natural ecosystems 2 Source: https://rochmanlab.wordpress.com/2019/10/11/cleaning-up-our- hidden-shorelines/ Source: https://www.eenews.net/articles/plastic-makes-up-81-of-trash-in- national-parks-report-says/ Poor practices Source: https://www.nationalgeographic.com/science/article/15092- plastic-seabirds-albatross-australia Preventing the pollution caused by plastics is extremely important Animal ingestion Cleaning may too late
  • 3. Finding plastics and fast removal โ€ข Visual inspections (humans) and object recognition fail to identify plastics as they get smaller 3 Source: https://www.scientificamerican.com/article/from-fish-to-humans-a- microplastic-invasion-may-be-taking-a-toll/ Food chain How to identify plastic particles? Source: https://www.scientificamerican.com/article/microplastics-linked-to- heart-attack-stroke-and-death/ Degradation estimates suggest that humans can ingest up to a credit card worth of micro- plastics each week Mohamed Nor, N. H., Kooi, M., Diepens, N. J., & Koelmans, A. A. (2021). Lifetime accumulation of microplastic in children and adults. Environmental science & technology, 55(8), 5084-5096.
  • 4. Automated solutions โ€ข Litter cleaning campaigns โ–ช Visual, smartphone apps (Citizen science) โ€ข Vehicles โ–ช Automated sweepers, vacuum-cleaners 4 Source: https://www.khmertimeskh.com/50937897/caring-citizens- residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/ Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/ Source: https://www.alamy. com/stock- photo/street- vacuum- cleaner.html?sortB y=relevant Current solutions can identify plastics (to some extent) but only larger sizes.
  • 5. Automated solutions โ€ข Litter cleaning campaigns โ–ช Visual, smartphone apps (Citizen science) โ€ข Vehicles โ–ช Automated sweepers, vacuum-cleaners 5 Source: https://www.khmertimeskh.com/50937897/caring-citizens- residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/ Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/ Source: https://www.alamy. com/stock- photo/street- vacuum- cleaner.html?sortB y=relevant Current solutions can identify plastics (to some extent) but only larger sizes.
  • 6. Automated solutions โ€ข Litter cleaning campaigns โ–ช Visual, smartphone apps (Citizen science) โ€ข Vehicles โ–ช Automated sweepers, vacuum-cleaners 6 Sophisticated appliances can identify smaller particles Source: https://www.khmertimeskh.com/50937897/caring-citizens- residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/ Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/ Source: https://www.alamy. com/stock- photo/street- vacuum- cleaner.html?sortB y=relevant
  • 7. LIZARD (Contributions) โ€ข Low-cost sensing solution: LIZARD uses dual sensing modality (thermal imaging and light sensing) to detect different (sizes of) plastics. โ€ข Rigorous evaluation: Performance evaluation in different urban locations โ€ข New insights: Factors influencing the identification of plastic particles in the wild 7
  • 8. LIZARD: Overview 8 Source: https://www.freightwaves.com/news/amazon-scraps-scout-home- delivery-robot Source: https://www.cittimagazine.co.uk/news/wichita-state-university- introduces-fleet-of-food-delivery-robots.html
  • 10. LIZARD: Pipeline โ€ข Simply explained 10 Drone design
  • 11. LIZARD: Phase 1 โ€ข Simply explained 11 Phase 1: Thermal analysis
  • 14. LIZARD: Pipeline โ€ข Simply explained 14 Phase 2: Light sensing
  • 15. LIZARD: Pipeline โ€ข Simply explained 15 Phase 2: Light sensing Reduce area of exploration
  • 16. LIZARD: Phase 2 โ€ข Simply explained 16 Phase 2: Light sensing (top) Wavelet transformation of light sensor data, (middle) change point scores and (bottom) change point detection.
  • 18. LIZARD: Prototype โ€ข Design and development 18
  • 19. Larger plastic profile (thermal) 19 Source: https://www.recycling.com/why-is-plastic-recycling-important/
  • 20. Small plastic profile (light) 20 Source: https://www.recycling.com/why-is-plastic-recycling-important/
  • 21. LIZARD: Evaluation โ€ข Testbed (TACO locations) โ€“ synthetic design 21
  • 22. LIZARD: Evaluation โ€ข Testbed (TACO locations) โ€“ synthetic design 22
  • 29. Summary and conclusions โ€ข Low-cost sensing solution: LIZARD uses dual thermal imaging and light sensing to detect different sizes of plastic particles โ€ข Rigorous evaluation: Performance evaluation in different urban locations โ€ข New insights: Factors influencing the identification of plastic particles in the wild 29
  • 30. Questions? Thank you! Farooq Dar (farooq.dar@ut.ee) Mayowa Olapade (mayowa.olapade@ut.ee) Abdul-Rasheed Ottung (abdul-rasheed.ottun@ut.ee) Zhigang Yin (zhigang.yin@ut.ee) Mohan Liyanage (mohan.liyanage@ut.ee) Agustin Zuniga (agustin.zuniga@helsinki.fi) Monica Passanantti (passanantti@unito.to) Sasu Tarkoma (sasu.tarkoma@ut.ee) Petteri Nurmi (petteri.nurmi@helsinki.fi) Huber Flores (huber.flores@ut.ee) 30