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S&T Best Computing Projects
Green star : multi-object detection technology for waste classification and detection
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Green star : multi-object detection technology for waste classification and detection - pdf
Green star : multi-object detection technology for waste classification and detection - video1
Green star : multi-object detection technology for waste classification and detection - video2
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Collection
S&T Best Computing Projects
Record Details
Record ID
stcompfyp:158
Title
Green star : multi-object detection technology for waste classification and detection
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Zheng, Yangyue (group member)
Yang, Yuxin (group member)
Cai, Yingkai (group member)
Wang, Yi (group member)
Liu, Yalin Alin 劉亞林 (supervisor)
School / Unit
School of Science and Technology (S&T)
Program
Bachelor of Computing with Honours in Internet Technology
Bachelor of Science with Honours in Computer Science
Date
2023
Abstract
To improve waste separation in Hong Kong, an application called Green Star will be developed to detect four waste categories and allow user-uploaded images and categories. The model’s accuracy will improve as the database is updated based on user images. Multiple models will be provided for different scenarios, making Green Star superior to existing apps.
Type of Resource
Mixed
Language
English
Physical Description
This work includes 1 PDF and 2 video clips.
Notes
COMP S456F Software System Development Project
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:158
Object Details
Record ID
stcompfyp:159
Title
Green star : multi-object detection technology for waste classification and detection - pdf
Collection
S&T Best Computing Projects
Type of Resource
PDF
Physical Description
3 pages.
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:159
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