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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 Felix asset health register and reporting tool serves as an easily implementable, centralized hub for all condition monitoring evaluations and inspections. Tailored for both asset proprietors and service providers, Felix functions as a cloud-based central repository for every assessment concerning asset conditions. It consolidates all information related to machinery conditions on-site into a single source of truth. Analysts can engage in a reporting environment that also acts as a learning platform, utilizing insights from past diagnoses to inform current assessments. This system fosters a closed feedback loop encompassing inspections, findings, recommendations, and outcomes, ensuring that every evaluation contributes to ongoing knowledge. Enhanced communication and collaboration between condition monitoring teams, inspectors, maintenance personnel, and operational staff are key benefits of this approach. Ultimately, Felix empowers organizations to transition from merely identifying defects to actively working towards their elimination. In this way, the tool not only streamlines processes but also cultivates a culture of continuous improvement in asset management.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

NVIDIA DRIVE No 

Integrations

NVIDIA DRIVE Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

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

Vendor Details

Company Name

Felix

Country

United States

Website

felixhub.com

Vendor Details

Company Name

Mitutoyo

Country

United States

Website

www.mitutoyo.com/aiinspect/

Product Features

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 

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