The ocean receives solid waste from human activities, distributing the load widely, but not evenly. Floating marine plastics is a threatening problem for the world’s oceans. Marine plastic debris is tied to plastic production, which has grown exponentially over the last 70 years, from 1.7 million tonnes in 1950 to 322 million tonnes in 2015 (European Commission 2020). Remote sensing is one of the tools necessary for the detection of floating marine plastics because of the extensive area coverage and frequent observation.
Our solution is the detection and monitoring of marine litter presence on coastal zones by creating marine litter density maps from aerial images using Unmanned Aerial Systems (UAS) and sophisticated Artificial Intelligence (AI) algorithms.
SciDrones P.S. is a private startup company located in Lesvos Island, Greece founded in 2021, by a team of experts in coastal mapping. The founders have vast experience in remote sensing, geoinformatics, and Unmanned Aerial System (UAS) technologies. SciDrones is a natural result of 7 years of intensive research on UAS technology and visualization of the geoinformation in the coastal area. SciDrones’s main business focus is the mapping and quantification of emerging coastal phenomena through state-of-the-art sensors. Quantification includes artificial intelligence algorithms and dedicated spatiotemporal visualizations. SciDrones analytical tools transform remote sensing data into real Information that drives decision-making. The company has just been awarded a grant from EIT Digital Venture Program 2021 and is part of ACEin incubator.
Our mission is to monitor and end marine litter pollution globally.
To achieve our mission, we have set three main goals.
Marine Litter Detection
Measure and monitor marine litter
pollution on shore environments
Engage stakeholders involved,
and share them our knowledge
Support circular economy by detecting marine litter material that can be collected and reused
UAS data acquisition
UAS pilots need to follow the SciDrones flight protocol
(that explains the settings the UAS should have eg altitude, speed, etc)
Data pre-processing and analysis
UAS pilots can create an account, upload their UAS images from their coastal zone
Sophisticated artificial intelligence algorithms
used to classify images
Marine litter density maps
Users will be rewarded with an automated report with statistics and concentration maps of the detected marine litter
Dr. Papakonstantinou Apostolos
Dr. Apostolos Papakonstantinou is a senior Post-Doctoral researcher at the Marine Remote Sensing Group, University of the Aegean with a scholarship funded by Greek State Scholarships Foundation (IKY) titled: “Detecting and Mapping Plastic Litter in the Coastal zone using Unmanned Aerial Systems and Deep Learning Techniques” and also is currently a Contracted Lecturer at the Department of Civil Engineering and Geomatics at the Cyprus University of Technology teaching Cartography and Geoinformatics curricula.
Mr. Argyris Moustakas holds a degree in Electrical and Electronic Engineering with a master’s degree in Embedded Systems and Robotics (Meng) from the University of Manchester. Argyris is involved with Marine Remote Sensing Group (MRSG, University of the Aegean) as a researcher for providing technical support, designing, and installing new equipment to the lab’s UASs. Previously, Argyris has worked for two years in Coca Cola Hellenic Bottling Company under the Rise Management Trainee Program.
Dr. Topouzelis Konstantinos
Dr. Topouzelis Konstantinos - is an Assistant Professor in the Department of Marine Sciences, University of the Aegean and he is leading the Marine Remote Sensing Group (MRSG). He is the PI of the Plastic Litter Projects and passioned with defeating the marine litters. He holds a bachelor’s degree in Environmental Studies (University of the Aegean), a master’s degree in Remote Sensing (University of Dundee) and a Ph.D. in pollution monitoring from space (National Technical University of Athens).