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Average Ratings 0 Ratings
Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Description
The software is crafted to enhance the typical Windows login experience by making it more user-friendly while also boosting security measures. It enables users to log into a Windows system quickly and securely by utilizing any camera that is compatible with Windows. Once the program identifies the user's face, it automatically carries out the login process. By leveraging advanced neural network technology, Rohos Face Logon ensures continuous biometric verification for user identification. This system not only allows for automatic login but also unlocks the desktop upon successful facial recognition. Its self-training feature minimizes the chances of recognition errors. Additionally, users have the option to use a USB flash drive as a key for their computer or laptop. The software offers flexibility by allowing users to combine face recognition with a USB device for authentication or to use them independently. Furthermore, it supports multiple users, enabling the registration of several faces for different user accounts. All facial patterns are stored securely, and users can remove any that do not meet satisfaction criteria. This innovative approach to login security ensures a seamless and personalized experience for each user.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$11.90 one-time payment
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
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Vendor Details
Company Name
Rohos
Founded
2005
Country
Moldova
Website
www.rohos.com/products/rohos-face-logon/
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management