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  • ANNHUB Banner Image
    DLHUB
    Quickly Bringing Artificial Intelligence Into Any Applications.
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  • DLHUB Banner Image
    ANNHUB
    ANSCENTER Supports For Multiple Programming Languages.
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Easy to use Graphical interface. No coding required. Design assistance is supported.
Advanced technologies Machine learning and deep learning with multicore and GPU support
Fast deployment Easy to deploy AI solution into real-time applications

DLHUB - Deep Learning Platform

DLHUB Graphical Deep Learning Platform

DLHUB is a graphical deep learning platform that enables deep learning design without requiring any programming skills. User can develop, train, and evaluate deep learning models to tackle real-life industrial solutions by merely drag-and-drop technique and utilizing the model verification feature. It is ideal for engineers who do not have a profound knowledge of deep learning and Python or C# programming skills to properly design a deep learning neural network with the desired architecture. User can effortlessly develop the deep learning model in DLHUB and integrate it into any applications with minimal API calls.

DLHUB graphical deep learning platform for LabVIEW, NXG, C++, and C#
Click here to see how DLHUB works

Deep learning integration

Integrating deep learning model into supported environments

DLHUB-LV

LabVIEW Application Programming Interface

The DLHUB license that allows a user to develop, integrate, and deploy deep learning models into LabVIEW applications.

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DLHUB-LV

LabVIEW NXG Application Programming Interface

The DLHUB license that allows a user to develop, integrate, and deploy deep learning models into LabVIEW NXG applications.

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DLHUB-C++

C++ Application Programming Interface

The DLHUB license that allows a user to develop, integrate, and deploy deep learning models into C++ applications.

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DLHUB-C#

C# Application Programming Interface

The DLHUB license that allows a user to develop, integrate, and deploy deep learning models into C# applications.

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DLHUB LabVIEW API

DLHUB-LV

DLHUB LabVIEW NXG API

DLHUB-NXG

DLHUB C++ API

DLHUB-C++

DLHUB C++ API

DLHUB-C#

MORE INFORMATION

Please download DLHUB or visit DLHUB page for more information.

Download DLHUB DLHUB information

ANNHUB - Machine Learning Platform

ANNHUB Graphical Machine Learning Platform

ANNHUB is a machine learning platform that allows machine learning design, train, and validation without any programming. User can develop machine learning models to tackle real-life industrial solutions by merely clicking through the guided steps and utilizing auto-recommended training and validation features. It is ideal for engineers who do not have a profound knowledge of machine learning and programming skills to design a proper neural network. User can effortlessly develop the model in ANNHUB and integrate it into any applications with minimal API calls. Users may even deploy the solution to LabVIEW NXG, C, C++, C#, Android, iOS, Arduino, and Rasberry PI applications.

ANNHUB graphical machine learning platform for LabVIEW, NXG, C++,C,C#, Arduino, Raspberry PI
Click here to see how ANNHUB works

Machine learning integration

Integrating machine learning model into supported environments

ANNHUB-LV

LabVIEW Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into labVIEW applications.

Shop Now

ANNHUB-NXG

LabVIEW NXG Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into labVIEW NXG applications.

Shop Now

ANNHUB-C

C Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into C applications.

Shop Now

ANNHUB-C++

C++ Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into C++ applications.

Shop Now

ANNHUB-C#

C# Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into C# applications.

Shop Now

ANNHUB-Android

Android Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into Android applications.

Shop Now

ANNHUB-iOS

iOS Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into iOS applications.

Shop Now

ANNHUB-Arduino

Arduino Application Programming Interface

The ANNHUB license that allows a user to develop, integrate, and deploy machine learning models into Arduino applications.

Shop Now
ANNHUB LabVIEW API

ANNHUB-LV

ANNHUB LabVIEW NXG API

ANNHUB-NXG

ANNHUB C API

ANNHUB-C

ANNHUB C++ API

ANNHUB-C++

ANNHUB C# API

ANNHUB-C#

ANNHUB Android API

ANNHUB-Android

ANNHUB iOS API

ANNHUB-iOS

ANNHUB Arduino API

ANNHUB-Arduino

MORE INFORMATION

Please download ANNHUB or visit ANNHUB page for more information.

Download ANNHUB ANNHUB Information

Blog news

Keep in touch with the latest blogs & news.

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  • 3/12/2019 4:11:52 AM

How to implement Artificial Intelligence in an Arduino Project

0
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  • 3/12/2019 4:10:34 AM

Thought Control System

0
Image Description
  • |
  • 3/12/2019 4:04:23 AM

Handwriting recognition

0

Latest | tutorial videos

Keep updated with new tutorial videos

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Play video

Smart auto checkout for supermarkets using DLHUB deep learning in LabVIEW

Real-time LabVIEW Fruit Recognition Using Deep Learning that helps speed-up checking out process in supermarkets and preventing thieves.

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Play video

Arduino IRIS Classifier Using Machine Learning

We are going to design a Neural Network classifier to recognize IRIS flowers. This Neural Network classifier is deployed directly into Arduino devices for real-time applications.

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Play video

Bayesian Neural Network Time Series Arduino Modeling System

We are going to design a time series modeling system using Bayesian Neural Network. This system will then be deployed directly into Arduino devices for real-time forecasting applications.

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Play video

Real-time Thought Control System Using Machine Learning in LabVIEW

This project aims to design a Thought Control System that allows severely disabled people to navigate their wheelchairs with just the power of their brain. By using a two-channel wireless EEG system, human brain signal is acquired and then recognized by a machine learning technique.

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Play video

Deep Learning LabVIEW: Fruit Detection

This video demonstrates how to use deep learning in LabVIEW to design a real-time fruit detection application that can correctly recognize different types of fruits. More importantly, the expensive NI Vision Development Module is not required in order to develop this native deep learning LabVIEW application.

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Play video

Graphical deep learning design for LabVIEW, NXG, C, C++, C#, Android, and iOS

This video demonstrates a new way of designing a deep learning neural network by using friendly user interface software DLHUB. No Python code is required during the deep learning design process. Model verification is supported to check if the constructed deep learning model is valid. Model evaluation and model testing are also supported. The trained deep learning model will be exported directly into LabVIEW, LabVIEW NXG, C, C++, C# environments for real-time deployment.

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Play video

Machine Learning LabVIEW: Crab Classification

This video provides step by step guide of designing a Bayesian Neural Network that can classify the sex of a crab based on six physical measurements. This trained Neural Network will then be deployed directly into a LabVIEW application for deployment.

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Play video

How to design a LabVIEW prediction application using machine learning

In this example, we are going to design a sale prediction system for a game company to estimate the total earning of their new game based on its attributes. Based on historical sale data, we will design a prediction system using machine learning. Most importantly, ANNHUB allows exported this prediction system directly to LabVIEW for actual production

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Play video

Faster R-CNN, YOLO and SSD object detection in LabVIEW

This video demonstrates that ANSCENTER object detection LabVIEW APIs are used to detect fruit using Faster R-CNN, YOLO, or SSD object detection models. Neither Python engine nor NI vision development module is required. Only low-quality webcam with a picture control can be used to deliver fruit detection task for the auto check-out application.

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Play video

Deep learning in 5 simple steps: No programming skills required.

This video demonstrates how to design, train, and evaluate a deep learning model for LabVIEW applications in 5 simple steps. No Python and text-based programming skills are required to construct a deep learning model. The designer also does not require in-depth deep learning knowledge to design any deep learning models properly.

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Play video

Deep Learning Single Shot Detector (SSD) for LabVIEW applications

In this video, we are going to demonstrate how to use deep learning object detection in LabVIEW using Deep Learning Single Shot Detector (SSD) model for an auto checkout application. With a simple LabVIEW application, we can turn an ordinary webcam into a smart camera. Ths application can be deployed in real-time targets for production purposes.

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Play video

How to turn standard CCTV cameras into a system that can save lives

We are going to demonstrate that by using ANSCENTER artificial intelligence software, we can turn standard CCTV cameras into smart cameras to assist emergency evacuation procedures effectively. We took the small part of the “Emergency Evacuation Mock Drill Highlights Karama Office” Youtube video, and we applied the ANSCENTER real-time object detection algorithm to detect human presence in the building. We can identify the number of people in the building and their behaviors in fire and emergencies. So we can inform them and guide them to evacuate the building effectively and safely. With that counting feature, we would know how many people are still in the building. Therefore, we will have effectively evacuation plan to rescue those trapped people safely. The system also can identify rescuers, so that will inform the rescue team to locate a missing person. By applying our cutting-edge technology, we can turn an ordinary camera system into a useful system that can save lives

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Play video

How to design deep learning model using the transfer learning technique in DLHUB

We are going to demonstrate step by step to design a deep learning classifier using the transfer learning technique in DLHUB. We will follow the blog on the ANSCENTER website with the Fruit Recognition example. The idea is to use a transfer learning technique to simplify the deep learning design process.

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Play video

How to design a student performance prediction using machine learning

In this video, we are going to use ANNHUB machine learning software to design a performance prediction system for secondary school students. We use the dataset, from Paulo Cortez's and Alice Silva's works, that contains student's attributes and his/her grades (G1, G2). By using machine learning, we will be able to predict a student's final grade (G3) based on his/her attributes and other midterm grades (G1 and G2).

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Play video

How to design a deep learning model to detect Pneumonia based on chest X-Ray images

In this video, we are going to design a deep learning model that can detect Pneumonia based on chest X-Ray images. We use the X-Ray dataset from Paul Mooney uploaded on the Kaggle website. This database contains X-Ray images taken from healthy people and people with Pneumonia (infected by virus or bacteria).

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Play video

How to design a Face Detection Application in LabVIEW

We are going to use ANSCENTER FaceAPI to design a Face Detection Application in LabVIEW using an ordinary webcam. There are only four simple functions in this FaceAPI library required. Let started to test the Face Detection application. In this application, we use a Logitech USB webcam to acquire a person's image. The FaceAPI allows use to detect face features that represents a person's unique identity.

ANSCENTER provides elegant solutions to simplify machine learning and deep learning design and deployment for any applications.

We support multiple hardware platforms and programming languages, including LabVIEW, LabVIEW NXG, LabWindow CVI, C/C++/C#, and Arduino.

Latest Posts

How to implement Artificial Intelligence in an Arduino Project

3/12/2019

Thought Control System

3/12/2019

Handwriting recognition

3/12/2019

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