when you come to pc/vision you will most probably have to rely on vendor specific sdk to get an image, and to process it within sdk or using .
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android can definitely be used in a non-cell phone device. there will be pros and cons that you can find all around the web, which could be .
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. home tv, or a full fledged industrial machines. the servers that are the center. there might be different purposes for this type of component.
i like the quantum leaps approach. the current state is a pointer to a function that takes an event object as argument. when an event happens, .
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it usually refers to a plot of the prediction accuracy/error vs. the training set size i.e: how better does the model get at predicting the target as .
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nov 30, 2013 . i understand, this principle of asking for 'best practice' or 'industry standard' is not acceptable for so. these type of question aren't acceptable .
automating machine operation in manufacturing requires extensive data . machinery is utilized only 30-40% on average and when they are being used that .
it was a little late for you. but it will help others who want to develop a machine vision project. also you are right about there are not a lot of .
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units of measure the industry i work in is littered with units. . the data structures used to represent program code in f are mostly . the system scaled massively across hundreds of machines and they were very satisfied .
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embedded with cpus means devices that are designed to be used . be around for several years industrial machinery, military hardware, etc .
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moore machines are often simpler to comprehend, but a moore machine will have at least as many states as the corresponding mealy machine. think about how .
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some basic information that you should be aware of. when that pc connects to your phone, an underlying network interface must be used, .
i'm writing a user interface program which controls industrial machinery. the machine is an automatic inline screen printer used in the electronic production .
this comes under linear classification. you can use naive-bayes classifier for this. most of the ml frameworks will have an implementation for .