A review on automated sorting of source-separated municipal solid waste for recycling.
By Sathish Paulraj Gundupalli, Subrata Hait, Atul C. Thakur. 2017
471 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Robotics & Control
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ping Hu
- Berk Çalli
- James Akl
- Fadi M. Alladkani
- Ziliang Zhu
- Vitaly Ablavsky
- Sarah Adel Bargal
- Mohamed Abdelfattah
In Control and Systems Engineering
In Industrial and Manufacturing Engineering
In Mechanical Engineering
In Robotics & Control
Citations in the corpus
- ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes (2021, background): “Even though the MRFs utilize a large number of machines alongside manual labor [24], the recycling rates as well as the profit margins stay at undesir-ably low levels (e.g. less than 35% of the recyclable waste actually got recycled in the United States in 2018 [2]).”
- Artificial intelligence for waste management in smart cities: a review (2023, methodology): “Artificial intelligence is used for intelligent classification by using cameras to automatically scan and analyze items on a conveyor belt using deep learning algorithms, similar to how it is used in manufacturing (Gundupalli et al. 2017; McKinnon et al. 2017).”