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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

The Inspekto system integrates a distinct electro-optical setup with advanced AI technology to deliver a versatile visual quality inspection solution that is user-friendly, easily adaptable to production line changes, and does not require expertise in machine vision. To get started, only 20 to 30 acceptable samples are necessary, while bad samples are optional rather than compulsory. This system can be seamlessly installed either at the end of the production line or mid-line, and it can be fully integrated with PLC or MES/ERP systems, making it ideal for inspecting incoming goods or conducting final quality assessments of finished products. Inspekto is capable of inspecting a variety of applications right out of the box, including plastic injection molding, metal casting, coating processes, mechanical assembly, surface defects, incoming materials, and packaging and labeling tasks. It efficiently manages parts fed in-line and can work in conjunction with robotic systems. Training the AI of Inspekto for a specific part is a straightforward process; all it requires is marking the inspection areas with a few clicks and adding 20 good samples to complete the setup. This ease of use significantly enhances productivity and assures quality in manufacturing environments.

Description

Engineering teams turn to Instrumental to accelerate their product launches while minimizing quality concerns. This platform offers AI-driven proactive defect detection, comprehensive failure analysis tools, and remote real-time monitoring of builds, all integrated into a straightforward cloud solution. With Instrumental, you gain a cohesive and traceable data history that aids in identifying and addressing problems from the onset of your earliest EVT builds. By consolidating your product data, you can act swiftly and utilize AI to tackle issues that were once deemed too complex to resolve on your production line. The platform ensures that your product data is streamlined, providing essential information precisely when and where you require it, enabling quick identification and rectification of issues. Instrumental's Industrial AI efficiently detects and prioritizes every defect, accelerates failure analysis, and ensures your builds remain on schedule. Initiating faster issue resolution begins with having the right data readily accessible, which Instrumental provides by delivering a comprehensive product data record that includes parametric tests, images, and measurements at your convenience. Ultimately, this empowers teams to enhance their operational efficiency and improve product quality consistently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

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

Vendor Details

Company Name

Instrumental

Country

United States

Website

instrumental.com

Product Features

Product Features

Quality Management

Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management

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