Robotics & Machine Learning Daily News2024,Issue(Sep.23) :42-43.

Anhui University of Science and Technology Reports Findings in Robotics (Researc h on improved YOLOV7-SSWD digital meter reading recognition algorithms)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :42-43.

Anhui University of Science and Technology Reports Findings in Robotics (Researc h on improved YOLOV7-SSWD digital meter reading recognition algorithms)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news reporting from Anhui, People’s Republic of China, by NewsR x journalists, research stated, “Meter reading recognition is an important link for robots to complete inspection tasks. To solve the problems of low detection accuracy and inaccurate localization of current meter reading recognition algori thms, the YOLOV7-SSWD (YOLOV7- SiLU-SimAM-Wise-IoU-DyHeads) model is proposed, a novel detection model based on the multi-head attention mechanism, which is impr oved on the YOLOV7-Tiny model.”

Key words

Anhui/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文