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What is Inspekto?

The Inspekto system combines a unique electro-optical configuration with sophisticated AI capabilities to provide an adaptable and intuitive visual quality inspection solution that requires no specialized knowledge in machine vision. To initiate the setup, users only need to provide 20 to 30 samples that meet quality standards, while the inclusion of defective samples is optional. This system can be effortlessly positioned at either the end of the production line or within it and can be completely integrated with PLC or MES/ERP systems, making it suitable for both incoming goods inspections and the final evaluation of finished products. Inspekto is designed to assess a broad range of applications immediately upon installation, including plastic injection molding, metal casting, coating processes, mechanical assembly, surface imperfections, incoming materials, as well as packaging and labeling operations. It excels in managing parts that are fed through the production line and can function alongside robotic systems. Training Inspekto's AI for specific components is a simple task, as it only involves marking the inspection zones with a few clicks and adding 20 quality samples to finalize the configuration. The system's user-friendly nature significantly boosts productivity while ensuring high standards of quality in manufacturing settings, ultimately leading to improved operational efficiency across various industries.

What is Autonomous Inspection?

The rapid progress of artificial intelligence presents a unique opportunity, yet numerous organizations struggle with how to embark on this transformative journey. For current GE Vernova clients, utilizing Autonomous Inspection can significantly improve their ability to gather data through cloud technology, which is instrumental for enhancing inspection processes, reliability, and overall asset health strategies. By transforming images into time series data, these organizations can utilize models developed by GE for a range of purposes, including detecting corrosion, performing thermal profiling and thermography, interpreting gauge readings, and monitoring panels with both stationary and mobile cameras. This approach not only accelerates detection and response times but also enhances employee productivity and safety, leading to greater value extraction from asset data. As companies adopt these cutting-edge solutions, they will find themselves more equipped to handle the intricacies of contemporary asset management, ensuring they remain competitive in an evolving landscape. Ultimately, this shift towards innovation not only streamlines operations but also fosters a culture of proactive asset stewardship.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry/usecases/ai-based-quality-inspection.html

Company Facts

Organization Name

GE Vernova

Date Founded

2024

Company Location

United States

Company Website

www.gevernova.com/software/products/automated-visual-inspection

Categories and Features

AI Visual Inspection

Not specified

Categories and Features

AI Visual Inspection

Not specified

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