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What is VisionPro Deep Learning?

VisionPro Deep Learning is recognized as a leading software solution for image analysis utilizing deep learning, specifically designed to meet the demands of factory automation. Its advanced algorithms, validated through practical applications, are expertly optimized for machine vision and come with an easy-to-use graphical user interface that allows for efficient neural network training. This software effectively tackles complex issues that traditional machine vision systems find challenging, achieving a consistency and speed that far surpasses manual inspection methods. Furthermore, when combined with VisionPro’s comprehensive rule-based vision libraries, automation engineers can easily identify and use the most appropriate tools for their particular projects. VisionPro Deep Learning combines an extensive array of machine vision capabilities with advanced deep learning features, all integrated into a cohesive development and deployment framework. This seamless integration greatly simplifies the creation of vision applications that need to respond to changing conditions. Ultimately, VisionPro Deep Learning equips users to improve their automation processes while ensuring adherence to high-quality standards. By leveraging these innovative tools, companies can enhance productivity and achieve greater operational efficiency.

What is OpenVINO?

The Intel® Distribution of OpenVINO™ toolkit is an open-source resource for AI development that accelerates inference across a variety of Intel hardware. Designed to optimize AI workflows, this toolkit empowers developers to create sophisticated deep learning models for uses in computer vision, generative AI, and large language models. It comes with built-in model optimization features that ensure high throughput and low latency while reducing model size without compromising accuracy. OpenVINO™ stands out as an excellent option for developers looking to deploy AI solutions in multiple environments, from edge devices to cloud systems, thus promising both scalability and optimal performance on Intel architectures. Its adaptable design not only accommodates numerous AI applications but also enhances the overall efficiency of modern AI development projects. This flexibility makes it an essential tool for those aiming to advance their AI initiatives.

Media

Media

Integrations Supported

Caffe
Cameralyze
Hugging Face
Intel Geti
Intel Open Edge Platform
Keras
LaunchX
Nero AI
Nutanix Karbon Platform Services
ONNX
PaddlePaddle
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
PyTorch
StayLinked
TensorFlow

Integrations Supported

Caffe
Cameralyze
Hugging Face
Intel Geti
Intel Open Edge Platform
Keras
LaunchX
Nero AI
Nutanix Karbon Platform Services
ONNX
PaddlePaddle
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
PyTorch
StayLinked
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cognex

Date Founded

1981

Company Location

United States

Company Website

www.cognex.com/products/deep-learning/visionpro-deep-learning

Company Facts

Organization Name

Intel

Date Founded

1968

Company Location

United States

Company Website

www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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