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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize data gathered from current sensors to develop machine learning models tailored to your machinery. Ensure swift and accurate automatic monitoring of equipment that identifies problematic sensors. Speed up the resolution of issues with instant alerts and automatic responses when anomalies are identified. Enhance the effectiveness and precision of alerts by integrating trends in anomalies and user feedback. Amazon Lookout for Equipment serves as a machine learning monitoring solution for industrial machinery, identifying unusual operational behavior so you can respond proactively and prevent unexpected downtime. By automatically recognizing atypical equipment behavior, you can effectively avert unplanned interruptions. Lookout for Equipment systematically evaluates sensor data from your industrial systems to uncover abnormal machine activity. This capability enables you to swiftly identify equipment irregularities, diagnose concerns promptly, and take action to prevent unexpected downtime—all without needing prior machine learning expertise. Furthermore, consistent monitoring ensures that your models remain relevant and effective over time.

Description

Implement this industrial IoT solution within your manufacturing facility, healthcare institution, or any comparable environment. Stay informed about asset tracking and maintenance oversight. Mitigate unexpected production interruptions through machine condition surveillance. Analyze both real-time and past data to evaluate the wear and tear of equipment, allowing for proactive maintenance interventions. Identify the location of medical devices and monitor the movement of personnel and patients. As a real-time location system, SeeMyMachines enhances the tracking of portable resources, thereby boosting operational efficiency in extensive healthcare facilities. Additionally, you can remotely oversee turbines and solar arrays across various energy sites. Transition to paperless inspections and utilize remote asset monitoring to enhance maintenance practices and elevate the efficiency of power plants. In bustling airports, track anything and anyone through a connected network of tools, equipment, and personnel. With a unified platform, you can manage asset tracking, temperature monitoring, staff location, and much more. This integrated approach ensures streamlined operations across diverse settings.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Micromerce

Integrations

Amazon S3
Micromerce

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lookout-for-equipment/

Vendor Details

Company Name

QBurst

Founded

2004

Country

India

Website

seemymachines.com

Product Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Product Features

Asset Tracking

Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

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