Work

CDC-YOLO for Gear Defect Detection: Make YOLOv8 Faster and Lighter on RK3588

Year: 2024

Type: conference-paper

Source: International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI: 10.1109/icsmd64214.2024.10920333

Authors: Jiachen Yao, Manyi Wang, XuJing Mao

Institution: Nanjing University of Science and Technology

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408701011

FWCI: 1.441

Cites: 12

Cited by: 2

Related to: 10