Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology
In this paper, the technique of image recognition algorithm is used to conduct an in-depth study and analysis of the intelligent classification and recycling system of solid waste and to optimize the design of its system. The network structure and detection principle of the YOLO target detection alg...
Saved in:
Main Author: | Haitao Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Advances in Mathematical Physics |
Online Access: | http://dx.doi.org/10.1155/2021/4094684 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Gabor Image Recognition Technology in Intelligent Clothing Design
by: Sujuan Qiao
Published: (2021-01-01) -
Enhanced DeepSORT and StrongSORT for Multicattle Tracking With Optimized Detection and Re-Identification
by: Hyeon-Seok Sim, et al.
Published: (2025-01-01) -
Image Recognition and Simulation Based on Distributed Artificial Intelligence
by: Tao Fan
Published: (2021-01-01) -
A Photographic Essay on Solid Waste Recycling: Street Ethnography and Innovative Experiences in the Netherlands
by: Cornelia Eckert, et al.
Published: (2025-01-01) -
Optimization of solid waste collection system in a tourism destination
by: C. Le Dinh, et al.
Published: (2022-07-01)