Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Anticipate machine malfunctions before they arise by utilizing machine learning (ML) and taking proactive measures. Within minutes, you can initiate equipment monitoring through a straightforward installation, coupled with automated and secure analysis via the comprehensive Amazon Monitron system. The accuracy of this system improves over time, as it incorporates technician insights provided through mobile and web applications. Serving as a complete solution, Amazon Monitron leverages machine learning to identify irregularities in industrial machinery, facilitating predictive maintenance. By implementing this easy-to-install hardware and harnessing the capabilities of ML, you can significantly lower expensive repair costs and minimize equipment downtime in your factory. With the help of predictive maintenance powered by machine learning, you can effectively reduce unexpected equipment failures. Amazon Monitron analyzes temperature and vibration data to forecast potential equipment failures before they occur. Assess the initial investment needed to launch this system against the potential savings it can generate in the long run. In addition, investing in such a system can lead to enhanced operational efficiency and greater peace of mind regarding equipment reliability.
Description
Utilize an edge gateway device for remote monitoring of your equipment, significantly minimizing the chances of downtime or malfunction. By implementing proactive maintenance, you can keep your machinery operational and efficient. Original equipment manufacturers (OEMs) now have a streamlined approach to address equipment issues proactively rather than waiting until problems arise. The integration of Condition Based Maintenance with Edge Management and Monitoring provides essential insights into your equipment through the use of an edge gateway device. This advancement allows for the proactive surveillance of various devices, including consumer goods, healthcare apparatus, security systems, digital displays, robotics, manufacturing equipment, and more, all through a dependable and secure remote management solution. As a result, you can save both time and costs, prolong the lifespan of your assets, and enhance customer loyalty with this innovative edge monitoring approach. Moreover, Condition Based Maintenance operates as an IoT platform-as-a-service, leveraging real-time data from sensors to facilitate near-instant monitoring of your assets. This further ensures that your equipment remains in optimal condition, ultimately contributing to higher efficiency and productivity.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS AI Services
No
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Country
United States
Website
aws.amazon.com/monitron/
Vendor Details
Company Name
Verizon
Founded
1983
Country
United States
Website
www.verizon.com/business/products/internet-of-things/connected-assets/condition-based-maintenance/
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No