Amazon Lookout for EquipmentAmazon
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About
Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required.
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About
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses seeking a tool to avoid unplanned downtime by automatically detecting abnormal equipment behavior
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Audience
Data engineers, operations teams, and analysts wanting anomaly detection on time-series or numerical sensor data to flag abnormal behavior and monitor systems without building models manually
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$13 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/lookout-for-equipment/
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Company InformationLotusEye
Japan
lotuseye.co.jp/
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