Design and Implementation of High-Precision Vision Measurement Automatic Inspection Platform for Intelligent Manufacturing

In response to the demand for efficient automated inspection of parts in the field of intelligent manufacturing, this paper proposes a design method for a high-precision visual measurement automated inspection platform oriented toward intelligent manufacturing scenarios. First, specifications for the layout of fixture reference points were established. An automatically rotating fixture was designed, and a robotic system was integrated with precision measurement equipment to build an integrated inspection and analysis platform. Robot collision simulation analysis and measurement registration analysis were completed, and key parameters in the inspection process were analyzed in light of the diverse inspection requirements of smart manufacturing. An automated measurement and analysis system that integrates automated testing, data processing, and analysis has been developed. Finally, validation tests were conducted. The results demonstrate that the automated inspection platform developed herein can efficiently implement automated product inspections with favorable measurement repeatability and high inspection efficiency, improving inspection performance for smart-manufacturing applications. The proposed method has good versatility and adaptability and can offer technical support for automated inspection in smart manufacturing applications.

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Publication Details

Journal
Sensors
Published
2026-11-05
DOI
https://doi.org/10.3390/s26216984
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Implementation of High-Precision Vision Measurement Automatic Inspection Platform for Intelligent Manufacturing

Peng Zhao, Lu-lu Huang, Zepeng Ni, Dongmei Gong et al.
Sensors
Industrial Vision Systems and Defect Detection
article

Design and Implementation of High-Precision Vision Measurement Automatic Inspection Platform for Intelligent Manufacturing

Peng Zhao, Lu-lu Huang, Zepeng Ni, Dongmei Gong, Xu Feng, Kuai Zhou, Mingyang Yang
article en

Abstract

In response to the demand for efficient automated inspection of parts in the field of intelligent manufacturing, this paper proposes a design method for a high-precision visual measurement automated inspection platform oriented toward intelligent manufacturing scenarios. First, specifications for the layout of fixture reference points were established. An automatically rotating fixture was designed, and a robotic system was integrated with precision measurement equipment to build an integrated inspection and analysis platform. Robot collision simulation analysis and measurement registration analysis were completed, and key parameters in the inspection process were analyzed in light of the diverse inspection requirements of smart manufacturing. An automated measurement and analysis system that integrates automated testing, data processing, and analysis has been developed. Finally, validation tests were conducted. The results demonstrate that the automated inspection platform developed herein can efficiently implement automated product inspections with favorable measurement repeatability and high inspection efficiency, improving inspection performance for smart-manufacturing applications. The proposed method has good versatility and adaptability and can offer technical support for automated inspection in smart manufacturing applications.

SensorsVol. 26(21)
Anhui Agricultural University (CN), Nanjing University of Industry Technology (CN), West Anhui University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 18%
Industrial Vision Systems and Defect Detection
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Design and Implementation of High-Precision Vision Measurement Automatic Inspection Platform for Intelligent Manufacturing — Peng Zhao, Lu-lu Huang, et al. · Sensors (2026) | TGRS Research Map | TGRS