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Basler Enables 3D Inspection of Adhesive Beads on Car Body Parts
Stereo ace camera with AI analysis ensures precise, real-time detection of adhesive defects on complex BIW parts, improving quality control and production efficiency.
www.baslerweb.com
Body parts must be correctly glued to avoid expensive recalls or rework and to meet safety requirements
Automotive manufacturing, particularly body-in-white (BIW) production, requires precise inline inspection of structural adhesives to ensure safety, durability, and compliance with NVH requirements. Basler presents a stereo vision-based inspection solution using its Stereo ace 3D camera integrated with Mindtrace AI, enabling accurate and fast detection of adhesive bead defects during production.
The system combines 3D imaging and AI-driven analysis to replace manual inspection and overcome the limitations of conventional 2D and laser-based solutions.
The high-contrast 3D point cloud clearly distinguishes the adhesive bead from the surrounding substrate, even under low-contrast color conditions
3D stereo vision for reliable adhesive inspection
In high-speed BIW production lines, adhesive beads must be inspected continuously to detect defects such as gaps, insufficient thickness, or incorrect positioning. The stereo vision system captures a full 3D representation of both the component and adhesive bead as a point cloud, even on low-contrast or reflective materials.
This capability is particularly relevant for challenging surfaces such as black-on-black or transparent adhesives on glass, where traditional 2D vision systems lack sufficient contrast for accurate detection.
AI-based analysis for real-time decision-making
The captured 3D data is processed by Mindtrace Brain-Sense™ AI, which evaluates bead geometry including height, width, continuity, and edge distance. These parameters are compared against predefined tolerances to determine whether the part meets quality requirements.
The system provides deterministic pass/fail decisions within approximately 5 seconds, enabling early rejection of defective parts without disrupting production flow. Additional outputs include measurement of bead discontinuities and visual segmentation of acceptable and non-compliant areas.
Analysis of the adhesive beads in detail: a distinction is made between gaps, incorrect distance to the edge of the part, and thickness of the adhesive application
Advantages over 2D and laser-based inspection methods
Compared to 2D vision systems, stereo cameras provide depth information (Z-axis), allowing detection of volumetric inconsistencies such as thinning before gaps occur. This is critical for ensuring adhesive integrity in structural applications.
Unlike laser profile sensors, which scan point by point, stereo vision captures a complete 3D image in a single acquisition, reducing processing time and improving suitability for fast production cycles. The dual-camera setup also minimizes the impact of glare on reflective surfaces.
These characteristics enable the system to achieve a defect detection accuracy with an error rate below 0.5%, supporting reliable inline quality control.
Integration into automated production environments
The Stereo ace camera is integrated into a production cell alongside robotic handling and AI processing. Each component is presented to the camera approximately every 40 seconds, with full 3D and RGB data captured in a single shot.
The system operates within standard production cycle times, allowing defective parts to be identified and replaced without interrupting workflow. This contributes to maintaining throughput while improving first-pass yield.
The vision system inspects the adhesive bead on the part in the NeuroForge™ production cell within the cycle time of the production process
Technical characteristics supporting precision and flexibility
The selected camera configuration includes two RGB sensors with 5 MP resolution and a 100 mm baseline, enabling depth measurement across a working range of 0.6 m to 2 m. Depth resolution ranges from 0.10 mm to 1.13 mm, supporting detailed inspection of adhesive geometry.
Factory calibration and dynamic self-calibration routines ensure consistent measurement accuracy, while an integrated LED pattern projector enables reliable operation under varying lighting conditions.
The system also supports rapid integration into existing production environments through GigE connectivity and software development tools.
Positioning within industrial inspection technologies
Machine vision solutions for adhesive inspection are also offered by companies such as Cognex and Keyence, which provide 2D and 3D inspection technologies.
Key selection criteria include measurement accuracy, cycle time compatibility, robustness to material variation, and ease of integration. Stereo vision systems differentiate themselves by combining full-field 3D capture with high-speed processing, making them suitable for complex geometries and demanding production environments.
Basler Stereo ace 100 color camera provides a precise point cloud for the inspection of adhesive beads
Scalability for broader inspection applications
Beyond adhesive bead inspection, the stereo vision approach can be extended to other quality control tasks, including detection of surface defects such as dents and deformations. Its flexibility makes it applicable across multiple stages of automotive manufacturing.
By combining 3D imaging with AI-based analysis, the solution supports improved product quality, reduced rework and recall costs, and increased production efficiency in automated manufacturing environments.
Edited by Natania Lyngdoh, Induportals Editor — Adapted by AI.
www.baslerweb.com
Automotive manufacturing, particularly body-in-white (BIW) production, requires precise inline inspection of structural adhesives to ensure safety, durability, and compliance with NVH requirements. Basler presents a stereo vision-based inspection solution using its Stereo ace 3D camera integrated with Mindtrace AI, enabling accurate and fast detection of adhesive bead defects during production.
The system combines 3D imaging and AI-driven analysis to replace manual inspection and overcome the limitations of conventional 2D and laser-based solutions.
The high-contrast 3D point cloud clearly distinguishes the adhesive bead from the surrounding substrate, even under low-contrast color conditions
3D stereo vision for reliable adhesive inspection
In high-speed BIW production lines, adhesive beads must be inspected continuously to detect defects such as gaps, insufficient thickness, or incorrect positioning. The stereo vision system captures a full 3D representation of both the component and adhesive bead as a point cloud, even on low-contrast or reflective materials.
This capability is particularly relevant for challenging surfaces such as black-on-black or transparent adhesives on glass, where traditional 2D vision systems lack sufficient contrast for accurate detection.
AI-based analysis for real-time decision-making
The captured 3D data is processed by Mindtrace Brain-Sense™ AI, which evaluates bead geometry including height, width, continuity, and edge distance. These parameters are compared against predefined tolerances to determine whether the part meets quality requirements.
The system provides deterministic pass/fail decisions within approximately 5 seconds, enabling early rejection of defective parts without disrupting production flow. Additional outputs include measurement of bead discontinuities and visual segmentation of acceptable and non-compliant areas.
Analysis of the adhesive beads in detail: a distinction is made between gaps, incorrect distance to the edge of the part, and thickness of the adhesive application
Advantages over 2D and laser-based inspection methods
Compared to 2D vision systems, stereo cameras provide depth information (Z-axis), allowing detection of volumetric inconsistencies such as thinning before gaps occur. This is critical for ensuring adhesive integrity in structural applications.
Unlike laser profile sensors, which scan point by point, stereo vision captures a complete 3D image in a single acquisition, reducing processing time and improving suitability for fast production cycles. The dual-camera setup also minimizes the impact of glare on reflective surfaces.
These characteristics enable the system to achieve a defect detection accuracy with an error rate below 0.5%, supporting reliable inline quality control.
Integration into automated production environments
The Stereo ace camera is integrated into a production cell alongside robotic handling and AI processing. Each component is presented to the camera approximately every 40 seconds, with full 3D and RGB data captured in a single shot.
The system operates within standard production cycle times, allowing defective parts to be identified and replaced without interrupting workflow. This contributes to maintaining throughput while improving first-pass yield.
The vision system inspects the adhesive bead on the part in the NeuroForge™ production cell within the cycle time of the production process
Technical characteristics supporting precision and flexibility
The selected camera configuration includes two RGB sensors with 5 MP resolution and a 100 mm baseline, enabling depth measurement across a working range of 0.6 m to 2 m. Depth resolution ranges from 0.10 mm to 1.13 mm, supporting detailed inspection of adhesive geometry.
Factory calibration and dynamic self-calibration routines ensure consistent measurement accuracy, while an integrated LED pattern projector enables reliable operation under varying lighting conditions.
The system also supports rapid integration into existing production environments through GigE connectivity and software development tools.
Positioning within industrial inspection technologies
Machine vision solutions for adhesive inspection are also offered by companies such as Cognex and Keyence, which provide 2D and 3D inspection technologies.
Key selection criteria include measurement accuracy, cycle time compatibility, robustness to material variation, and ease of integration. Stereo vision systems differentiate themselves by combining full-field 3D capture with high-speed processing, making them suitable for complex geometries and demanding production environments.
Basler Stereo ace 100 color camera provides a precise point cloud for the inspection of adhesive beads
Scalability for broader inspection applications
Beyond adhesive bead inspection, the stereo vision approach can be extended to other quality control tasks, including detection of surface defects such as dents and deformations. Its flexibility makes it applicable across multiple stages of automotive manufacturing.
By combining 3D imaging with AI-based analysis, the solution supports improved product quality, reduced rework and recall costs, and increased production efficiency in automated manufacturing environments.
Edited by Natania Lyngdoh, Induportals Editor — Adapted by AI.
www.baslerweb.com
