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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

Pulsar is an advanced platform for real-time machine monitoring and Overall Equipment Effectiveness (OEE) that connects to the cloud, providing manufacturers with comprehensive insights into their shop-floor activities, production efficiency, and machinery status. This system enables users to identify problems, reduce downtime, and enhance productivity without the need for manual tracking or spreadsheets. It incorporates industrial IoT sensors and hardware that seamlessly link to any machine, regardless of its type, age, or model, without requiring modifications to PLCs. The data collected, including availability, performance, speed, cycle counts, causes of downtime, and production output, is then visualized on user-friendly dashboards that can be accessed from various devices. Pulsar’s software continuously monitors essential manufacturing KPIs, such as OEE, utilization, throughput, and quality, while offering sophisticated real-time analytics and historical reports. Additionally, it features customizable alerts that can be sent via SMS, email, or displayed on TV dashboards, along with a digital Andon system that empowers teams to quickly identify and address production challenges as they arise, thereby fostering a more responsive manufacturing environment. By leveraging this technology, manufacturers can not only optimize their processes but also create a proactive culture of continuous improvement.

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

Pulsar

Country

United States

Website

www.pulsarml.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

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Alternatives

Alternatives

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