Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ControlRooms.ai sets a new benchmark for effective troubleshooting in industrial environments. By establishing predefined limits, it prevents overwhelming alarm notifications and eliminates the tedious search for specific issues that can take hours. This solution provides operators with ample time to implement corrective measures, seamlessly integrating into your current workflows and communication platforms. The setup process is straightforward, allowing for quick and secure configuration and provisioning. You can get a few systems operational and expand according to your own timeline. It offers round-the-clock monitoring, real-time alerts across various platforms, automated daily reports, and simplifies shift transitions. Utilizing OPC-UA standards, it connects effortlessly with existing infrastructures. The OPC-UA server operates within a DMZ to ensure a secure separation from operational systems, communicating one-way through MQTT to the Azure cloud. Security is prioritized with credentials stored in an encrypted vault that undergoes routine rotation. The system is designed to auto-scale irrespective of the number of tags or sampling rate, guaranteeing that operational technology data remains completely isolated through dedicated data pipelines and databases. ControlRooms.ai represents a groundbreaking advancement in industrial software, marking a significant evolution in the field in recent years. As industries continue to evolve, this platform promises to adapt and grow alongside them, ensuring that troubleshooting remains efficient and effective.
Description
VisionPro Deep Learning stands out as a premier software solution for image analysis driven by deep learning, specifically tailored for factory automation needs. Its robust algorithms, proven in real-world scenarios, are finely tuned for machine vision, featuring an intuitive graphical user interface that facilitates neural network training without sacrificing efficiency. This software addresses intricate challenges that traditional machine vision systems struggle to manage, delivering a level of consistency and speed that manual inspection cannot match. Additionally, when paired with VisionPro’s extensive rule-based vision libraries, automation engineers can readily select the most suitable tools for their specific tasks. VisionPro Deep Learning merges a wide-ranging machine vision toolset with sophisticated deep learning capabilities, all within a unified development and deployment environment. This integration significantly streamlines the process of creating vision applications that must adapt to variable conditions. Ultimately, VisionPro Deep Learning empowers users to enhance their automation processes while maintaining high-quality standards.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
StayLinked
Integrations
Microsoft Azure
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
StayLinked
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
ControlRooms.ai
Country
United States
Website
controlrooms.ai/
Vendor Details
Company Name
Cognex
Founded
1981
Country
United States
Website
www.cognex.com/products/deep-learning/visionpro-deep-learning
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization