An automatic sorting system for electronic components detached from waste printed circuit boards

Y Lu, B Yang, Y Gao, Z Xu - Waste Management, 2022 - Elsevier
Recycling e-waste makes for eliminating the pollution to environment and recovering critical
materials as one of resource. Printed circuit boards (PCBs) serve as the important part in all …

Detection and classification of printed circuit boards using YOLO algorithm

M Glučina, N Anđelić, I Lorencin, Z Car - Electronics, 2023 - mdpi.com
Printed circuit boards (PCBs) are an indispensable part of every electronic device used
today. With its computing power, it performs tasks in much smaller dimensions, but the …

Object detection for construction waste based on an improved YOLOv5 model

Q Zhou, H Liu, Y Qiu, W Zheng - Sustainability, 2022 - mdpi.com
An object detection method based on an improved YOLOv5 model was proposed to
enhance the accuracy of sorting construction waste. A construction waste image sample set …

Electrical insulator defects detection method based on yolov5

Z Feng, L Guo, D Huang, R Li - 2021 IEEE 10th Data Driven …, 2021 - ieeexplore.ieee.org
For electrical transmission lines, insulator inspection is an important indicator for power
system safety operation. Manual visual inspection activities are usually performed in …

Precise detection for dense PCB components based on modified YOLOv8

Q Ling, NAM Isa, MSM Asaari - IEEE Access, 2023 - ieeexplore.ieee.org
Effective detection of dense printed circuit board (PCB) components contributes to the
optimization of automatic flow of production. In addition, PCB component recognition is also …

YOLO-GD: a deep learning-based object detection algorithm for empty-dish recycling robots

X Yue, H Li, M Shimizu, S Kawamura, L Meng - Machines, 2022 - mdpi.com
Due to the workforce shortage caused by the declining birth rate and aging population,
robotics is one of the solutions to replace humans and overcome this urgent problem. This …

Improved YOLOv4-tiny network for real-time electronic component detection

C Guo, X Lv, Y Zhang, M Zhang - Scientific reports, 2021 - nature.com
In the electronics industry environment, rapid recognition of objects to be grasped from
digital images is essential for visual guidance of intelligent robots. However, electronic …

YOLO-based object detection for separate collection of recyclables and capacity monitoring of trash bins

AB Wahyutama, M Hwang - Electronics, 2022 - mdpi.com
This study describes the development of a smart trash bin that separates and collects
recyclables using a webcam and You Only Look Once (YOLO) real-time object detection in …

Detection of transmission line insulator defects based on an improved lightweight YOLOv4 model

Z Qiu, X Zhu, C Liao, D Shi, W Qu - Applied Sciences, 2022 - mdpi.com
Defective insulators seriously threaten the safe operation of transmission lines. This paper
proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An …

Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once

VA Adibhatla, HC Chih, CC Hsu, J Cheng, MF Abbod… - 2021 - bura.brunel.ac.uk
In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the
past many models and different approaches have been implemented in the quality …