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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Predator DNC No 
Predator MDC No 
Predator PDM No 
Predator RCM No 
Predator Touch HMI No 
Predator Virtual CNC No 
PyTorch Yes 
StayLinked No 
TensorFlow Yes 

Integrations

Amazon Web Services (AWS) No 
Predator DNC Yes 
Predator MDC Yes 
Predator PDM Yes 
Predator RCM Yes 
Predator Touch HMI Yes 
Predator Virtual CNC Yes 
PyTorch No 
StayLinked Yes 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Habana Labs

Founded

2016

Country

Israel

Website

habana.ai/training-software/

Vendor Details

Company Name

Cognex

Founded

1981

Country

United States

Website

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

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning Yes 
Visualization No 

Alternatives

Alternatives