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What is OMNITREND Asset View?

OMNITREND Asset View serves as an advanced server-based visualization platform, providing maintenance teams with instant access to real-time data on machine conditions through any modern web browser. It seamlessly integrates with all PRUFTECHNIK online condition monitoring systems, including options like VIBGUARD IIoT available in 16 and 20 channels, VIBGUARD compact, and VIBRONET Signalmaster. Utilizing the MQTT protocol, this tool ensures secure and efficient data transmission, empowering users to monitor machinery conditions from virtually anywhere across the globe. The user-friendly interface employs an effective traffic light color scheme—green, yellow, and red—to quickly convey the status of assets, making it easy for users to identify potential issues. Additionally, the software supports simple configuration by allowing the use of actual asset images and drag-and-drop functionalities for the arrangement of measurement points. With compatibility extending to PCs, tablets, and smartphones, OMNITREND Asset View delivers exceptional flexibility and convenience, ensuring that users can effectively manage their machinery no matter where they are located. This holistic approach not only boosts operational efficiency but also fosters the implementation of proactive maintenance strategies, ultimately leading to reduced downtime and improved asset performance. By offering these capabilities, OMNITREND Asset View significantly enhances the overall effectiveness of maintenance operations.

What is Crosser?

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.

Media

Media

Integrations Supported

Integrations Supported

Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
SIGNL4

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

PRUFTECHNIK Group

Company Location

United States

Company Website

www.pruftechnik.com/en-IN/Products-and-Services/Condition-Monitoring-Systems/Online-Condition-Monitoring/Software/OMNITREND-Asset-View/

Company Facts

Organization Name

Crosser Technologies

Date Founded

2016

Company Location

Sweden

Company Website

www.crosser.io

Categories and Features

Condition Monitoring

Not specified

Machine Monitoring

Not specified

Categories and Features

Condition Monitoring

Not specified

IoT

Not specified

IoT Analytics

Not specified

IoT Development

Not specified

Machine Monitoring

Not specified

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