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Latest | tutorial videos
Keep updated with new tutorial videos
Real-time LabVIEW Fruit Recognition Using Deep Learning that helps speed-up checking out process in supermarkets and preventing thieves.
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.
We are going to design a time series modelling system using Bayesian Neural Network. This system will then be deployed directly into Arduino devices for real-time forecasting applications.
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.
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.
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.
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.
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
ANS Center provides elegent solutions to simplify machine learning and deep learning design and deployment.
We support mutiple hardware platforms and programming languages, including LabVIEW, LabVIEW NXG, LabWindow CVI, C/C++/C#, and Arduino.