Perfect surfaces for glossy or transparent components
Fewer inspection escapes, lower costs, consistent quality
In the automotive industry, a perfect surface is not just an option - it's expected. This applies whether you are producing injection-moulded or painted add-on parts, automotive glass, mirrors, or transparent display components. Even the slightest imperfection on painted auto parts can result in costly rework, rejected products or product recalls.
ISRA VISION enables manufacturers to achieve consistent surface quality on glossy, transparent and reflective components. Our automated surface inspection systems can detect defects that are often invisible to the naked eye before they become costly problems.
These scalable solutions can be seamlessly integrated to enable 100% inspection. The result? Fewer escaped defects, lower costs, and flawless components that meet the highest standards in the automotive industry.
Benefits
- Consistent quality: Objective, continuous testing ensures consistent product quality, regardless of shift or personnel.
- Reduction in complaint costs: Early defect detection prevents faulty parts from entering the supply chain, thereby reducing costs associated with rework, recalls, and customer complaints.
- Minimized inspection escape: High-precision sensor technology and AI-supported evaluation detect even the smallest defects that could escape the human eye.
- Optimization of production processes: Real-time data from the inspection enables targeted process adjustments for maximum system efficiency and minimum reject rates.
- Efficient inspection: Targeted use of resources
Automated systems take over manual visual inspections and support your processes for greater precision, consistent quality, and optimal resource utilization. - Seamless quality documentation: All inspection results are archived, which is ideal for traceability and OEM requirements.
- Future-proof and flexible: The systems can be adapted to design updates or new models for maximum flexibility with changing requirements.
- Defects
- Features
Typical surface defects, depending on the component group:
This overview shows the most common types of defects found during automated quality inspections
- Painted parts
Craters, scratches, dents, inclusions, paint runs, orange peel - Injection molding
Scratches, streaks, dents, flow lines, indentations, structural perforations, pinholes, edge chipping, cracks, polishing marks, orange peel
- Displays & mirrors
Shape deviations, optical distortions, scratches, inclusions, hairline cracks, orange peel, coating defects, cracks, polishing marks, structural bleed-through - Automotive glazing
Scratches, inclusions, optical distortions
- Robust sensor technology for maximum detection performance
Reliable detection of the smallest surface defects thanks to high-precision image acquisition and fast data evaluation - Real-time shape inspection
Inline inspection of shape deviation with CAD comparison depending on component geometry - Up to 100% surface coverage
Seamlessly inspect all relevant component areas depending on geometry and positioning - AI-based defect classification
Use of trained algorithms for differentiated, adaptive defect detection and reduced pseudo-defect rates
- Real-time analysis and evaluation tools
- Direct data availability for process control, statistics, and traceability
- Tray-based serial inspection
Parallel component inspection in carrier systems is ideal for automated handling and high cycle rates - Robot-guided, conveyor-integrated, or stationary component inspection
Depending on the component and production environment. - Fully integrated
Standardized interfaces enable seamless production integration.
Media hub
- Video
- Case study
- Technical paper
- Webcast
- Flyer
Automated surface inspection for bumpers and spoilers
Automated optical inspection of high gloss automotive interior parts
Defect detection on high-gloss B-pillars with deflectometry
Painted Part Vision [EN]
- Filename
- mvs-sfa-fl-painted-part-vision-en-2025-01-web.pdf
- Size
- 813 KB
- Format
SpecGAGE3D [EN]
- Filename
- mvs-sfa-fl-specgage3d-en-2025-01.pdf
- Size
- 496 KB
- Format
