The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before
sharing sensitive information, make sure you’re on a federal
government site.
The
https://
ensures that you are connecting to the
official website and that any information you provide is encrypted
and transmitted securely.
Share
Economic and social progress in the Republic of Korea resulted in an increased standard of living, which subsequently produced more waste. The Korean government implemented a volume-based trash disposal system that may modify waste disposal characteristics to handle vast volumes of waste efficiently. However, the inconvenience of having to purchase standard garbage bags on one's own led to passive participation by citizens and instances of illegally dumping waste in non-standard plastic bags. As a result, there is a need for the development of automatic detection and reporting of illegal acts of garbage dumping. To achieve this, we suggest a system for tracking unlawful rubbish disposal that is based on deep neural networks. The proposed monitoring approach obtains the articulation points (joints) of a dumper through OpenPose and identifies the type of garbage bag through the object detection model, You Only Look Once (YOLO), to determine the distance of the dumper's wrist to the garbage bag and decide whether it is illegal dumping. Additionally, we introduced a method of tracking the IDs issued to the waste bags using the multi-object tracking (MOT) model to reduce the false detection of illegal dumping. To evaluate the efficacy of the proposed illegal dumping monitoring system, we compared it with the other systems based on behavior recognition. As a result, it was validated that the suggested approach had a higher degree of accuracy and a lower percentage of false alarms, making it useful for a variety of upcoming applications.
Eight types of scenarios (S1~S8) for the performance evaluation of the illegal dumping monitoring system; (
a
) S1—a bending posture with no garbage bag; (
b
) S2—a dumping scenario with the non-standard bag in one hand; (
c
) S3—a dumping position with the non-standard garbage bags on both hands; (
d
) S4—a dumping posture with the legal standard garbage bag in hand; (
e
) S5—a dumping scenario with legal standard garbage bags in both hands; (
f
) S6—a dumping posture with the standard bag in one hand and the non-standard bag in the other hand; (
g
) S7—a dumping posture without bending the waist with the non-standard bags in both hands; and (
h
) S8—a bending position without dumping with the non-standard bag.
Funch OI, et al.
Waste Manag. 2021 Jan 1;119:30-38. doi: 10.1016/j.wasman.2020.09.032. Epub 2020 Oct 8.
Waste Manag. 2021.
PMID:
33039979
Chen YC.
Waste Manag Res. 2019 Apr;37(4):365-373. doi: 10.1177/0734242X19826327. Epub 2019 Feb 8.
Waste Manag Res. 2019.
PMID:
30736728
Lee MK, et al.
J Prev Med Public Health. 2006 Jul;39(4):302-8.
J Prev Med Public Health. 2006.
PMID:
16910303
Korean.
Du L, et al.
J Environ Manage. 2021 Jul 15;290:112601. doi: 10.1016/j.jenvman.2021.112601. Epub 2021 Apr 22.
J Environ Manage. 2021.
PMID:
33895451
Review.
Zolnikov TR, et al.
Waste Manag. 2018 Oct;80:26-39. doi: 10.1016/j.wasman.2018.08.047. Epub 2018 Sep 5.
Waste Manag. 2018.
PMID:
30455007
Review.