Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing the pioneering blockchain specifically designed for GameFi and the Metaverse, Vision aims to establish a metaverse environment characterized by exceptional performance, seamless interoperability, scalability, and robust security, thereby facilitating easier access for users. This innovative protocol has evolved from a Proof of Stake (PoS) foundation, representing the result of extensive dedication and hard work. The VPoS network features a global array of independent validator nodes that ensure a high level of safety, making user logins straightforward while presenting significant challenges to potential attackers. Transactions within the Vision ecosystem are completed in mere seconds and incur minimal costs. Furthermore, Vision's compatibility with the Ethereum Virtual Machine (EVM) allows users to effortlessly deploy and operate their Ethereum decentralized applications (dApps) on the Vision platform. Notably, Vision is 100% compatible with Ethereum, enabling developers to launch their dApps at a significantly reduced cost while taking advantage of Vision’s outstanding performance. The source code of Vision is entirely open source, allowing anyone to access it, track its development, provide feedback, and contribute to the expansion of the ecosystem. Additionally, Vision Metaverse Go! Creator serves as an innovative tool tailored for content creation, featuring a scripted, component-based, and data-driven approach to game development, making it a versatile option for creators. This unique combination of features positions Vision as a transformative force in the gaming and metaverse landscape.
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
Ethereum
Lenen Protocol
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
StayLinked
Integrations
Ethereum
Lenen Protocol
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Predator Virtual CNC
StayLinked
Pricing Details
Free
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
Vision Chain
Founded
2021
Website
v.network/
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