Published on: Jul 15, 2025
Written by: Team Intelgic
Introduction
In the highly competitive automotive industry, metal part suppliers play a crucial role in delivering structural and functional components—ranging from doors, frames, and panels to engine brackets and suspension arms—to global automakers. These parts undergo a series of processes such as metal fabrication, welding, and painting, and are produced in thousands of variations, each with unique shapes, sizes, and surface finishes.
With customer quality requirements tightening, the need for precise and repeatable defect detection has never been greater. Yet, many manufacturers still rely on manual visual inspection, engaging large teams of operators to check parts under traditional lighting. This outdated process is prone to human error, inconsistency, and missed defects, especially in high-volume production environments.
Intelgic offers a fully automated, AI-powered inspection solution designed to meet the quality needs of modern automotive part manufacturers—improving reliability, reducing costly returns, and increasing production efficiency.
1. Labor-Intensive Process
Teams of 10 to 30 operators are assigned to inspect every part manually.
Operators inspect parts using traditional ambient lighting, with flashlights or overhead lamps.
2. Inconsistency and Missed Defects
Under time pressure and repetitive conditions, operators miss critical defects.
Results vary between shifts and inspectors, reducing inspection reliability.
Parts with defects are often sent to repaint or passed unknowingly, leading to customer complaints.
3. Wide Range of Defect Types
Common defects in painted and fabricated automotive metal parts include:
Scratches and abrasions
Dust particles trapped during painting
Contamination
Color mismatches or non-uniform coating
Pinholes
Smudges or overspra
4. High Product Variation
Manufacturers may produce hundreds or thousands of different SKUs, each with distinct:
Geometries
Curvatures
Surface textures
Colors (black, yellow, metallic, glossy, matte)
This diversity makes it challenging to design a fixed inspection system or train operators for all possibilities.
Intelgic solves these challenges through a comprehensive, modular inspection system that combines:
1. AI-Powered Image Processing Software
Uses deep learning models trained on real-world defect datasets.
Detects micro-level defects even on shiny, reflective, or dark surfaces.
Ignores harmless artifacts like lighting glare or texture, focusing only on true defects.
Adaptive thresholding allows the system to work across multiple material types and colors.
2. Multi-Camera Imaging Systems
Strategically positioned area scan cameras or line scan cameras cover:
Top surfaces
Side flanges
Curved edges
Deep cavities
Cameras can be static or mounted on robotic rails or gantries depending on inspection area and throughput needs.
3. Intelligent Motion Systems
To image all surfaces of complex parts, Intelgic uses:
Rotating platforms to turn the part for 360° inspection.
Robotic arms or gantries to move cameras around large parts.
X-Y-Z motorized rails to position cameras and lights dynamically.
Motion is synchronized with image capture via encoder-based triggering for sharp, correctly timed images.
4. Custom Industrial Lighting
Dark field lighting for scratch detection on shiny surfaces.
Dome lighting to remove glare and shadow from curved panels.
Red, white, or blue LEDs selected based on the color and reflectivity of the material.
Lighting is calibrated per part model to ensure uniform illumination.
For the inspection of highly complex or asymmetrical automotive parts, Intelgic employs industrial robotic arms to mount and maneuver cameras and lighting systems dynamically around the part. These robotic systems offer unmatched flexibility in capturing images from multiple orientations and hard-to-reach angles—critical for complete surface inspection of 3D components.
Why Use Robotic Arms?
Traditional gantry or rail systems are limited to linear motion along X, Y, and Z axes.
Many automotive parts—such as suspension mounts, welded assemblies, or painted brackets—have irregular surfaces, cavities, and curved edges that require multi-axis positioning for proper imaging.
Robotic arms provide 6 degrees of freedom (DOF), enabling smooth and precise movement of cameras and lights around the part at any angle or tilt.
How It Works
Cameras and light sources are mounted on the end-effector of the robotic arm.
Based on the part geometry and inspection recipe, the robot moves the vision system to pre-programmed waypoints.
At each waypoint, the robot stops and triggers the image capture system.
The camera and lighting orientation are adjusted in real time to achieve optimal angle and illumination for defect visibility.
AI processes each image and maps defect data across the 3D geometry of the part.
Applications
Welded metal assemblies with deep pockets or angled welds
Large painted surfaces with variable curvature
Components with internal brackets or overhangs
Symmetry-critical parts where uniform inspection from multiple angles is essential
Benefits
Complete Surface Coverage: Inspects 100% of the part surface, including hard-to-reach areas.
Adaptive Imaging: Adjusts to different part sizes, orientations, and geometries.
Fast Changeovers: Switch between inspection routines for different parts using robot programming.
Improved Accuracy: Camera angle and light positioning are always repeatable and consistent.
By incorporating robotic arms into the vision system, Intelgic enhances the inspection coverage and versatility of its AI-based defect detection platform—making it an ideal solution for manufacturers producing diverse and complex automotive metal parts.
Part enters the inspection station, placed on a conveyor or rotating fixture.
Cameras and lights are activated, aligned by part ID or job recipe.
The system captures multiple images from different angles, zones, and focal depths.
Intelgic’s AI analyzes each image in real-time to:
Detect surface-level and coating defects
Compare painted color uniformity
Highlight location and type of defect
Result: PASS or FAIL is displayed with defect classification.
Data is logged automatically, including:
Defect coordinates
Part number or barcode
Timestamp
Annotated images for records
Works with glossy black, bright yellow, or textured metallic parts
Trained to detect even nearly invisible scratches under low-angle lighting
Integrates with existing MES or PLC systems
Highly scalable – can handle high-mix, low-volume production or high-volume lines
Supports offline model training and online adaptive learning
Benefit |
Description |
Consistent Inspection |
AI performs the same way every time—no fatigue or variability |
Reduced Labor Cost |
Significantly fewer operators needed |
Improved Quality |
Higher defect detection accuracy = fewer customer complaints |
Rework Reduction |
Early detection prevents unnecessary repainting |
Traceability |
Full digital records of each part inspected |
Scalable System |
Flexible architecture fits small shops and large OEM suppliers alike |
The traditional model of manual visual inspection is no longer sufficient for modern automotive part manufacturers who must meet demanding quality standards while managing a wide variety of parts and materials. Intelgic’s AI-based inspection system offers a robust, automated, and scalable solution that dramatically improves inspection reliability, productivity, and traceability.
By combining machine vision, smart motion control, advanced lighting, and AI-driven analytics, Intelgic ensures that every part you deliver meets the strictest quality criteria—without slowing down your production.
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