Results 11 to 20 of about 36,642 (249)
Drone-Enabled AI Edge Computing and 5G Communication Network for Real-Time Coastal Litter Detection
DronesCoastal litter is a severe environmental issue impacting marine ecosystems and coastal communities in Thailand, with plastic pollution posing one of the most urgent challenges.
Sarun Duangsuwan, Phoowadon Prapruetdee
doaj +3 more sources
ADDRESSING THE CLASS IMBALANCE PROBLEM IN THE AUTOMATIC IMAGE CLASSIFICATION OF COASTAL LITTER FROM ORTHOPHOTOS DERIVED FROM UAS IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Unmanned Aerial Systems (UAS) has been recently used for mapping marine litter on beach-dune environment. Machine learning algorithms have been applied on UAS-derived images and orthophotos for automated marine litter items detection.
D. Duarte +4 more
doaj +1 more source
SS-YOLOv8: A Lightweight Algorithm for Surface Litter Detection
Applied SciencesWith the advancement of science and technology, pollution in rivers and water surfaces has increased, impacting both ecology and public health. Timely identification of surface waste is crucial for effective cleanup.
Zhipeng Fan +4 more
doaj +2 more sources
Scientific Reports, 2021 While at least 8 million tons of plastic litter are ending up in our oceans every year and research on marine litter detection is increasing, the spectral properties of wet as well as submerged plastics in natural marine environments are still largely ...
Mehrdad Moshtaghi +4 more
doaj +1 more source
Mapping of marine litter on the seafloor using WASSP S3 multibeam echo sounder and Chasing M2 ROV
Frontiers in Earth Science, 2023 Marine litter is a growing threat to the marine environment. Mapping of marine litter is becoming increasingly important to detect its potential hotspots and prevent their spread.
Ante Šiljeg +7 more
doaj +1 more source
TACO: Trash Annotations in Context for Litter Detection
CoRR, 2020 TACO is an open image dataset for litter detection and segmentation, which is growing through crowdsourcing. Firstly, this paper describes this dataset and the tools developed to support it. Secondly, we report instance segmentation performance using Mask R-CNN on the current version of TACO.
Pedro F. Proença, Pedro Simões
openaire +2 more sources
Robotic Detection of Marine Litter Using Deep Visual Detection Models [PDF]
2019 International Conference on Robotics and Automation (ICRA), 2019 Trash deposits in aquatic environments have a destructive effect on marine ecosystems and pose a long-term economic and environmental threat. Autonomous underwater vehicles (AUVs) could very well contribute to the solution of this problem by finding and eventually removing trash.
Michael Fulton +3 more
openaire +2 more sources
DETECTION AND MONITORING OF BEACH LITTER USING UAV IMAGE AND DEEP NEURAL NETWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Beach litter destroys marine ecosystems and creates aesthetic discomfort that lowers the value of the beach. In order to solve this beach litter problem, it is necessary to study the generation and distribution pattern of waste and the cause of the ...
S. H. Bak +3 more
doaj +1 more source
PLoS ONE, 2022 The use of poultry litter as a biological soil amendment presents a risk for the preharvest contamination of fresh produce by Salmonella. In order to properly assess this risk, it is important to understand the factors influencing the persistence of ...
Alan Gutierrez, Keith R. Schneider
doaj +2 more sources
Table Cleaning Task by Human Support Robot Using Deep Learning Technique
Sensors, 2020 This work presents a table cleaning and inspection method using a Human Support Robot (HSR) which can operate in a typical food court setting. The HSR is able to perform a cleanliness inspection and also clean the food litter on the table by implementing
Jia Yin +5 more
doaj +1 more source