AUTOMOTIVE QUALITY CONTROL
Automotive production demands precision, consistency, and speed—yet manual inspection can’t keep pace. robolaunch Vision AI delivers adaptive, inline surface inspection that detects microscopic defects across Press, Body, Paint, and Final Assembly. The result: early defect capture, stable quality, and actionable insights without disrupting your existing line.
Detects defects at every station so issues are corrected immediately — preventing rework, scrap, and line delays.
Purpose-built models for metal, primer, paint, and assembly surfaces — delivering high accuracy with minimal false positives.
Detects tiny cosmetic defects that humans miss — ensuring consistent surface quality and reducing downstream warranty risks.
Add cameras + lighting + AI to your existing stations — no line redesign, no downtime, fast installation.
SOFTWARE
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A production-grade deep-learning engine for sub-millimeter defect detection, paired with an operator dashboard for defect visualization, coordinate mapping, and real-time analytics.
HARDWARE
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A configurable hardware system with adjustable lighting, flexible multi-camera mounting, and modular framing—adaptable to different vehicle surfaces and station layouts.
🔹98% detection accuracy on reflective and curved panels
🔹Process-specific AI models for Press, BIW, Paint, and Assembly
🔹Detects all cosmetic defects: ding/dent, wrinkle, paint run/sag...
🔹Millisecond-level inference with multi-camera pipelines
🔹Real-time defect alerts and operator feedback
🔹Reliable under vibration, lighting noise, and surface variability
🔹No line redesign—works with moving or stationary parts
🔹Modular lighting + camera frames adaptable to any station
🔹PLC / MES / QMS-ready for closed-loop quality feedback
🔹Deploy as single cell or full-line solution
🔹Fast model updates for new defect types
🔹Adjustable lighting + camera geometry for all vehicle surfaces
Detects early forming and stamping abnormalities before BIW operations proceed.
EXPLOREDefect Classes:
Scratch | Crack | Forming Defects
Monitors surface quality after welding, hemming, framing, and fastening operations.
Defect Classes:
Ding/Dent | Bump | Tool Mark
Identifies cosmetic paint defects that appear after primer, basecoat, or clearcoat.
EXPLOREDefect Classes:
Run/Sag | Thin Paint | Wet Paint
Ensures cosmetic quality after assembly operations such as handling, and material addition.
EXPLOREDefect Classes:
Scratch | Ding/Dent
Every production line has its own realities—
so we tailor the system entirely to your conditions.
Environment, lighting, defect characteristics, material type, and geometry are collected to define the inspection conditions and feed the simulation pipeline.
Thousands of defect variations are produced under your field conditions, creating a robust deep-learning model tuned for your surfaces and defect profiles.
The camera–lighting setup is positioned for your station, the model is calibrated on-site, and the system is validated for inline cycle time and accuracy.
AI, Robotics, and Cloud—working together to make automation smarter, faster, and more scalable.