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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

We present VISION as a key element of our comprehensive range of cutting-edge systems, smart software, and lifecycle solutions. This advanced software seamlessly integrates and coordinates machinery, robotics, personnel, and workflows across the entire duration of your system's use. VISION serves as a unified platform catering to all warehouse operations, both automated and manual. Utilizing a microservice architectural framework, it is structured as a collection of distinct services, each tailored to a particular role within the logistics chain. Every module is capable of being deployed and scaled independently, providing flexibility and responsiveness to changing operational demands. This innovative approach ensures that your logistics processes remain efficient and adaptable over time.

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

Predator DNC No 
Predator MDC No 
Predator PDM No 
Predator RCM No 
Predator Touch HMI No 
Predator Virtual CNC No 
ReturnPro Yes 
StayLinked No 

Integrations

Predator DNC Yes 
Predator MDC Yes 
Predator PDM Yes 
Predator RCM Yes 
Predator Touch HMI Yes 
Predator Virtual CNC Yes 
ReturnPro No 
StayLinked Yes 

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 No 

Customer Support

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

Types of Training

Training Docs No 
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

Vanderlande Industries

Website

www.vanderlande.com/software/vision/

Vendor Details

Company Name

Cognex

Founded

1981

Country

United States

Website

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

Product Features

Warehouse Management

3PL Management No 
Barcoding / RFID No 
Category Customization No 
Channel Management No 
Demand Planning No 
Inventory Management No 
Location Control No 
Order Management No 
Purchasing No 
Quality Control No 
Receiving / Putaway Management No 
Returns Management No 
Shipping Management 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