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features
design
support

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Description

Mitutoyo has established itself as a global frontrunner in the realm of precision measuring tools and solutions. In our dedication to supporting your goal of producing entirely defect-free products, we have harnessed artificial intelligence to devise an innovative approach to the intricate challenge of defect detection. Historically, the process of visual defect detection has been not only expensive but also labor-intensive. With the advent of AI INSPECT from Mitutoyo, we empower users to craft straightforward yet advanced defect detection systems for visual inspection, thanks to the remarkable capabilities of artificial intelligence and machine learning. This state-of-the-art software employs deep-learning convolutional networks to discern the visual discrepancies between normal and defective pixels across any series of related images. Users can easily upload images of both defects and normal products into the application to establish a project model. They can then utilize intuitive marking tools to identify defects within the images. Furthermore, the software provides a guided training setup process that requires no prior knowledge of artificial intelligence, making it accessible to all users who wish to enhance their inspection capabilities. Ultimately, this transformative tool not only simplifies the defect detection process but also enhances overall product quality.

Description

The General NCMR search form is utilized to find NCMRs based on user-defined criteria. This search tool is consistent across all NCMR-related icons, so we will examine the search interface in detail. To access this interface, simply click on the General NCMR Search icon located in the main QCS9000 navigator. Supplier NCMRs are typically generated during the incoming inspection phase and relate to defects in materials sourced from external vendors. In-Process NCMRs arise from defects detected during the manufacturing process or when products are moved between work centers, often identified through quality control inspections. Customer Return NCMRs occur when clients return shipped items due to identified defects or nonconformities. Additionally, terms like RMA (Returned Material Authorizations) and CRM (Customer Return Material) are often associated with these processes. Understanding these categories is crucial for managing quality assurance effectively and ensuring that products meet the required standards before reaching customers.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

NVIDIA DRIVE Yes 

Integrations

NVIDIA DRIVE No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$995 per month
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Mitutoyo

Country

United States

Website

www.mitutoyo.com/aiinspect/

Vendor Details

Company Name

JK Technologies

Website

www.jkt9000.com

Product Features

Inspection

Appointment Management No 
Customer Database No 
Dispatch Management No 
Equipment Tracking No 
Photos In Reports No 
Print on Site No 
Report Templates No 
Speech Recognition No 
Subcontractor Management No 

Product Features

Quality Management

Audit Management No 
Complaint Management Yes 
Compliance Management Yes 
Corrective and Preventive Actions (CAPA) Yes 
Defect Tracking Yes 
Document Control Yes 
Equipment Management Yes 
ISO Standards Management No 
Maintenance Management No 
Risk Management No 
Supplier Quality Control No 
Training Management No 

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