Research on the accuracy of side mold positioning based on mechanical vision

The position and shape of the side molds on the pallet are identified by taking photos to obtain the image of the target pallet, and the image is compared and analyzed with the designed position and shape of the side mold. Automatic error analysis is performed to form the production process control of the target prefabricated component. This method controls the production process by collecting real-time images of the pallet, which not only avoids manual control but also avoids the problem of converting drawing information, thus improving the production efficiency of prefabricated components; That is, applying visual technology to intelligent operations in production processes, achieving automatic data acquisition and driving the operation of intelligent equipment, reducing technical difficulty and production costs, and significantly improving the degree of digital application.

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.1117/12.3077311
Primary Topic
Advanced machining processes and optimization
Type
article
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Research on the accuracy of side mold positioning based on mechanical vision

Jian Zhou, Guangce Liu, Dan Su, Yiming Zhou
Advanced machining processes and optimization
article

Research on the accuracy of side mold positioning based on mechanical vision

Jian Zhou, Guangce Liu, Dan Su, Yiming Zhou
article en

Abstract

The position and shape of the side molds on the pallet are identified by taking photos to obtain the image of the target pallet, and the image is compared and analyzed with the designed position and shape of the side mold. Automatic error analysis is performed to form the production process control of the target prefabricated component. This method controls the production process by collecting real-time images of the pallet, which not only avoids manual control but also avoids the problem of converting drawing information, thus improving the production efficiency of prefabricated components; That is, applying visual technology to intelligent operations in production processes, achieving automatic data acquisition and driving the operation of intelligent equipment, reducing technical difficulty and production costs, and significantly improving the degree of digital application.

Wuhan Donghu University (CN), Jinhua University of Vocational Technology (CN)
Openalex Percentile: Top 74%
Advanced machining processes and optimization
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Research on the accuracy of side mold positioning based on mechanical vision — Jian Zhou, Guangce Liu, et al. · (2025) | TGRS Research Map | TGRS