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Quality Inspection

Traditional measurement methods such as gauges and coordinate measuring machines (CMM) are slow and limited in providing comprehensive data beyond contour dimensions, hindering tolerance inspections. Manual inspection methods are inadequate for modern technical requirements and production cycles. However, the emergence of automated 3D inspection in large industrial manufacturing companies will accelerate the advancement of automated inspection pipelines and workshops. By integrating robotized 3D inspection systems with assembly lines, unmanned and intelligent inspections can be achieved, leading to a transformative impact on intelligent manufacturing in World.

Challenges in the Quality Inspection Process

DUCO Automated Quality Inspection Solution

DUCO Cobot utilizes integrated 3D laser scanning and measurement equipment to perform three-dimensional measurements on workpieces, acquiring surface data. By aligning the measurement model with the design model and extracting key features, it enables comparison with theoretical models, facilitating the identification of dimensions or defects. Furthermore, the DUCO Cobot can incorporate an intelligent rotating mechanism to automate rotation and support flexible fixtures, enabling comprehensive surface data capture from all angles.

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High Detection Efficiency

Automated batch testing increases efficiency by more than 5 times.

High Scanning Accuracy:Scanning accuracy can reach 0.025mm.


Fast Measurement Speed

Efficient data acquisition at a rate of 1.3 million times per second. 

Easy Deployment:Supports teaching and offline programming, secure networking, and easy deployment of machines with large motion trajectories.

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High Degree of Intelligence

By simply pressing a button, you can automate and intelligently capture full-size data of injection molded parts quickly. 

Automatic Scanning and High-Efficiency Processing:The automated intelligent inspection system processes scanned data to generate complete 3D data by removing noise, aligning coordinates, and merging. Analysis of error data reports from batch inspections helps identify manufacturing process deficiencies, enabling timely modifications and optimizations to enhance product qualification rates.

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