Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Integrations
Amazon S3
No
Micromerce
No
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
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)
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
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
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
Asset Tracking
Activity Tracking
Yes
Audit Trails
Yes
Barcoding / RFID
No
Checkout / Check-In
No
Depreciation Tracking
Yes
Disposal Tracking
Yes
Inventory Management
Yes
Location Tracking
No
QR Codes
Yes
Reservations
No
Service History
Yes
Equipment Maintenance
Customer Database
Yes
Dispatch Management
Yes
Equipment Tracking
Yes
Inventory Control
Yes
Job Management
No
Maintenance Scheduling
Yes
Warranty Tracking
No
Work Order Management
Yes
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