Metal Stamping Inspection
AI-Powered Defect Detection for Stamped Metal Parts
Real-time automated inspection detects cracks, splits, burrs, and surface defects in stamped metal parts during production — even on shiny, reflective surfaces where traditional systems fail. Reduce scrap by 40%+ with AI-powered quality control.
Key Applications
Progressive Die Stamping Inspection
Overview.ai excels at detecting and classifying multiple defects in metal stamping in a single pass. It addresses challenges such as identifying subtle defects like small splits, partial splits, pre-splits, necking, and surface irregularities on shiny metal surfaces. Traditional systems often miss these due to high reflectivity and the subtlety of the defects. The system's advanced segmenter and powerful AI ensure robust defect detection, significantly outperforming manual inspection methods and maintaining high-quality stamped components.
Transfer Press & Deep Draw Inspection
Our automated AI vision inspection system identifies stamping defects in real-time with 100% accuracy, reducing scrap rates by 40%+ and inspection time by 75% — without slowing down your transfer press operations. The system catches micro-defects that humans miss, detecting cracks as small as 0.1mm, pre-splits, and subtle surface irregularities while tracking defect trends by type, die set, and shift for continuous improvement.
6 Critical Defect Types Detected
Deep learning models detect and classify all major stamping defect categories simultaneously — no separate systems per defect class.
Cracks & Splits
Through cracks, partial splits, pre-splits, edge cracks
Surface Defects
Scratches, gouges, pitting, wrinkles & folds
Burrs & Edge Defects
Burrs, incomplete cuts, edge rollover, shear marks
Deformation & Shape
Bending, necking, warping, spring-back issues
Die Forming Issues
Incomplete forming, die marks, tool wear, misalignment
Dimensional Errors
Thickness, hole position, edge distance, trim line
All defect types detected simultaneously within a single model — no separate configurations needed per defect class.
Why Manufacturers Choose Overview AI
Purpose-built for high-speed metal stamping inspection where every part matters.
75% Faster Inspection
Inspect every part at full production speed without bottlenecks — no slowing down progressive die or transfer press operations.
Handles Reflective Metal
Shiny, reflective surfaces defeat traditional vision systems. Our AI handles glare and high reflectivity that cause other systems to fail.
Production Analytics
Track defect trends by type, die set, and shift. Real-time dashboards and instant alerts drive continuous improvement.
From Install to Production in Hours
No months-long integrations. No dedicated vision specialists. Just fast, accurate inspection.
Install & Configure
Mount the camera, connect to your network via any browser — no software installs, no license keys. Full system operational in under 2 hours.
Train with Real Images
Capture as few as 5 production images, label defects in-browser, and train a production-grade model. Built-in augmentation generates 10x more training data automatically.
Deploy & Retrain
Push the model to the camera — no export steps, no IT tickets. Retrain on new edge cases from the production floor in under 1 hour, zero downtime.
Built for the Factory Floor
Enterprise-grade hardware and software designed for 24/7 industrial operation.
NVIDIA-powered on-device processing. No cloud dependency.
Store weeks of production data directly on each camera.
EtherNet/IP, Profinet, Modbus TCP — no middleware needed.
IATF 16949, AS9100, ISO 13485, IEC 62443 certified.
Node-RED on Every Camera
Visual programming for PLC triggers, reject mechanisms, data logging, and MES/ERP integration via REST APIs.
Custom Dashboards
Build operator, engineer, and management views with standard HTML/CSS/JS. Access from any browser on the network.
Haystack Discovery
Surface unknown defects and outliers automatically. Retrain to catch them — no vendor involvement required.
Ready to Automate Metal Stamping Inspection?
See how Overview AI vision deployments drive real results in days, not months.