PRESS SHOP QUALITY CONTROL

AI-Driven Defect Detection
for Metal Forming

The press shop defines downstream quality — yet cracks, wrinkles, and forming defects often go unnoticed until BIW. Robolaunch Vision AI captures early stamping defects inline, enabling instant corrective action and preventing high-cost scrap and rework.

FEATURES

Key Capabilities of Press Shop
Vision AI Surface Inspection

Smarter
Surface Quality Control
Starts Here!

A complete AI-powered solution designed for press-line speed, precision defect detection, and non-intrusive installation — ensuring every stamped part is inspected with millisecond accuracy.

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1. High-Speed Inline Detection

Reliable defect detection at full press-line speed — up to 18 PPM with zero impact on takt time.

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2. Micron-Level Defect Capture

Identifies 50–100 μm cracks, wrinkles, ding, dent and other metal stamping defects.

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3. Synthetic Data Accuracy

AI fine-tuned with photorealistic synthetic defects for high accuracy across all part types.

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4. Precise Defect Localization

2D detection with optional 3D LiDAR mapping for exact defect position and severity.

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5. Real-Time Edge AI Processing

GPU-powered inference delivers millisecond detection and stable 24/7 shop-floor operation.

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6. Non-Intrusive Installation

Compact, ceiling-mounted inspection frame fits directly at the press exit with minimal downtime.

PAIN POINTS

Press Shop is Where Quality Begins
— and Where Most Defects Start

Most forming defects originate early in the press line — long before final assembly — and small issues at this stage quietly shape downstream quality. Fast stroke cycles, reflective metal surfaces, and shifting die conditions make real-time visual inspection difficult in any sheet-metal forming environment. As a result, cracks, wrinkles, thinning, and die-related distortions often move forward unnoticed, increasing scrap, rework, material waste, and production costs across the entire operation.

70% of Defects Originate in Press Shop

Close-up of a stamped automotive roof panel with a visible dent, photographed under inspection lighting inside a manufacturing line to highlight surface defects.

Reflective metal and fast stroking cycles make manual inspection unreliable, causing defects to slip.

Operators can Catch <30% of Defects at Line

Manual surface inspection of stamped automotive panels on a production line, with quality technicians checking each part under bright inspection lighting and monitoring systems.

Stopping the press is costly, and sampling misses intermittent issues — letting defects accumulate unnoticed.

Press Defects get 10–50× Costlier Later

Two quality engineers inspecting stamped automotive body panels for dents and deformities inside a modern production line, with robotic arms operating in the background.

Missed defects multiply scrap, rework, energy waste, and takt-time delays across the plant.

Die Wear Shifts Quality After ~5K–20K Cycles

Close-up view of a worn metal stamping die inside a press shop, with visible surface abrasion and operators inspecting the tool, illustrating how die wear leads to quality shifts in stamped parts.

Without early detection, hundreds of bad parts can be produced before die-related issues are recognized.

DEFECTS CLASSES

AI Detection for All Critical Stamping Defects

Press shop operations face recurring issues such as cracks, wrinkles, thinning, die marks, and surface distortions that often escape manual detection.

Robolaunch Vision AI accurately detects all major stamping defects at line speed, helping manufacturers prevent scrap, rework, and downstream quality failures.

HOW?

Tailored AI Models for
Your Stamping Defect Detection

We adapt our AI system to your exact stamping line — from defect references to lighting conditions — ensuring accurate detection from day one.

Robolaunch Vision AI Surface Inspection system integrated into a press shop, positioned after a large metal stamping press to inspect freshly stamped panels on the conveyor in real time, with multi-camera coverage and an operator display for immediate defect visualization.

STEP 1 | Capture Your Production Context

We collect your critical defect samples, material details, and lighting conditions to recreate your stamping environment with high accuracy.

STEP 2 | Simulate & Train with Synthetic Data

We generate a photorealistic digital twin of your parts and produce thousands of realistic defect variations to fine-tune the AI model.

STEP 3 | Deploy, Calibrate & Optimize On-Site

We install the camera–lighting setup on your press line, deploy the optimized model on the edge PC, and calibrate it for stable line-speed detection.

Ready to deploy something like this in your line?

REQUEST NOW
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