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Automotive Exterior Inspection and Paint Defects Detection Using Advanced Sensors and Computer Vision

In the automotive industry, where precision and perfection are not just goals but necessities, ensuring the highest quality in exterior parts is paramount. This is where the innovative collaboration between Landing AI and Micro-Epsilon comes into play, revolutionizing the way automotive exterior parts with reflective surfaces are inspected.

The Challenge of Inspecting Automotive Exterior Parts

Traditional methods for inspecting automotive exterior parts are not only inefficient but also prone to errors. The intricate and reflective surfaces of these parts pose a challenge in identifying qualitative defects such as scratches, dents, and paint imperfections. Micro-Epsilon, a trusted partner of Landing AI, has introduced reflectCONTROL sensors specifically designed to address this issue. By capturing high-resolution 2D images and 3D point clouds of these difficult surfaces, the sensors provide the finest quality images that make defects easily visible. As a result, users can now effortlessly develop defect detection solutions with the help of Landing AI.

The Foundation for Advanced Inspection: Advanced Sensor Technology

The sensor capture directly reflective surfaces with exceptional clarity. These sensors generate detailed 2D images, forming the basis for creating 3D point clouds. Multiple layers of 2D images from two perspectives are generated: The base intensity picture to identify the brightness, the amplitude picture to detect differences in reflectivity, and a curvature picture for recognizing deviations in the surface structure.

The reflectCONTROL sensor is a compact, 3D noncontact surface inspection system that enables fast, reliable defect detection on shiny and reflecting surfaces such as polished or painted metals, glass, mirrors, painted plastics, and galvanized surfaces. Based on the deflectometry principle, the reflectCONTROL sensor can be used in a stationary mode for assembly lines or mounted on a robot to perform inline inspection. Inspection cycles are <2 s/measuring position and the sensor provides a large measuring field.

The object can be analyzed using Micro-Epsilon’s 3DInspect software when processed into 3D point clouds, However, recognizing small defects within these large 3D point clouds is a complex task, often hindered by noise and inaccuracies, especially in peripheral areas. This is where the expertise of Landing AI comes into play with 2D images for a detailed automated analysis.

Enhance Inspection Accuracy with AI

Once the highest quality images are captured, LandingLens, Landing AI’s computer vision platform, identifies and qualifies defects such as small craters, dents, and paint inclusions with precision. LandingLens pinpoint the location and size of these defects, providing a high level of detail and accuracy. LandingLens could detect even the tiniest defects of 10 µm on the 2D images in greyscale.

Transformative Results and Future Outlook

The collaboration between Landing AI and Micro-Epsilon marks a significant leap forward in quality control within the automotive industry. By combining the advanced sensor technology of Micro-Epsilon with Landing AI’s computer vision solution, manufacturers now have access to a tool that ensures unparalleled accuracy in detecting and evaluating defects in automotive exterior parts. This not only saves time but also significantly reduces the margin for error in quality control processes.

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