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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

WATR serves as a comprehensive environmental monitoring platform that delivers real-time data on water and soil quality through a user-friendly cloud-based dashboard, promoting precise, trustworthy, and ongoing observations, alongside customizable alerts for users accessing the system from both desktop and mobile devices. This versatile system accommodates a broad spectrum of sensor types and is designed to be sensor-agnostic, permitting users to incorporate their current equipment or utilize WATR’s high-performance sensors to assess various parameters, including pH, conductivity, dissolved oxygen, temperature, depth, and rainfall; the platform regularly uploads readings at designated intervals for effective graphical analysis and trend observation. WATR's offerings comprise a variety of monitoring hardware, such as floating devices, bankside structures, and soil sensors that can function independently or as part of a larger interconnected system, featuring automated alert notifications and the capacity to activate external devices through the Switch. Additionally, the API facilitates smooth integration with existing infrastructures and diverse connectivity options, further enhancing the system's flexibility and usability. This makes WATR a valuable tool for environmental professionals seeking to optimize their monitoring processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Android
Apple iOS
Micromerce

Integrations

Amazon S3
Android
Apple iOS
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

WATR

Founded

2017

Country

United Kingdom

Website

www.watr.tech/

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

Environmental

Air Management
Auditing
Compliance Management
Document Management
Emissions Inventory
Hazardous Materials Control
Sustainability Management
Training Management
Waste Management
Water Management

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