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Advanced Inspection

Production Applications include Plastics, Rubber, Metals, Fabrics, Electronics, Weld Porosity, and more

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Molded Plastics

  • Short Shots

  • Flash

  • Splay

Screwdriver Set

Metal Castings

  • Splits

  • Porosity

  • OCR

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Surface Classification

  • Fabrics

  • Textures

  • Colors

Cylinder Head Welding

Weld Quality

  • Burn-through

  • Porosity

  • Off-location

Classification

Sample Applications

Capabilities include Visual Inspection, OCR, and Part Classification

Part Classification

For high-mix products including furniture, automotive interiors and exteriors, paint and more - classification gives you human-level sorting capability in a smart camera format.

PASS Detection

For verifying assembly of complex parts, including circuit boards, automotive interior clips, logistics, and more - pass detection verifies part presence as well as part location and part count within the camera's field of view.

FailDetection

FAIL Detection

Inspection of surface defects in plastic and metal manufcaturing previously required high-cost manual sorting. Deepview's anomaly detection now enables these surface inspections to be automated using human-level inspection capability.

Multi-Class Detection

Multi-class detection combines Classification and Detection. For example, box-detection for 6 types of common anomalies in steel surfaces. The user can also define a region of interest and place crops to optionally constrain analysis to certain areas of complex parts.

Service First

Support for the lifetime of your product

Made in USA

  • 9 USA Suppliers

  • Made in Michigan

Machine Vision C Mount Lens

AI Camera

  • MegaPixel Camera

  • 384 GPU Cores

DVT Stylized Texr

AI Software

  • Local Processing

  • AI Train & Deploy

IP54 Rating

Industrial Rated

  • Sealed Enclosure

  • M12 Connectors

EtherNet/IP

PLC Support

  • EtherNet/IP

  • Profinet, 24V IO

Microsoft Windows

Browser Setup

  • Train new jobs

  • Run production

For additional questions, contact sales@deepviewai.com

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