Defect Detection System
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Defect Detection System - 1

Defect Detection System SMART INSPECTION IN SECONDS Deep learning based defect detection system identifies surface imperfections with speed, reliability and precision Featuring deep learning technology, the Defect Detection System quickly identifies defective or anomalous parts, helping manufacturers reduce costs and meet consumer quality expectations. High-Definition Inspection Images Smartphone glass defect - Flexible inspection system combines advanced machine vision with deep learning algorithms - Surface defect detection distinguishes desired features from anomalies while tolerating natural variations in complex patterns - Detects defects on glossy, shiny or rough surfaces - Easy setup and operation with automatic orientation of part for inspection - Provides precise part placement without marring the part surface - Rapid inspection part programming allows for efficient setup of different part configurations - Identifies production defects in real-time, enabling adjustment of upstream processes to reduce waste - Available as a standalone system or as an option on other DWFritz metrology and assembly systems - High powered GPU image processing system - High resolution camera with global shutter optimizes field of view and measurement precision - Custom multispectral lighting and strobe controller - Custom fixturing and part handling capabilities

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Defect Detection System - 2

Defect Detection System IMPROVE QUALITY WHILE REDUCING MANUFACTURING COSTS SPECIFICATIONS Work volume Custom strobe, bright field, dark field, coaxial Electrical service CDA/AIR service System dimensions System weight System controllers High performance industrial PC operator station with touch screen and secondary display screen Barcode reader 9600 SW Boeckman Road, Wilsonville, OR 97070 Toll Free: 800-763-4161 Tel: +1-503-598-9393 Fax: +1-503-624-2799 Email: info@dwfritz.com DWFritz.com Consumer Electronics Medical Devices Energy Storage Established in 1973, DWFritz Automation provides...

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