ASUS AISDetector App User Manual PDF

Pages 27
Year 2021
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Summary of Content for ASUS AISDetector App User Manual PDF

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2... 4 Verification ... 16

2... 4... 1 Configure task and parameter ... 16

2... 4... 2 Select the data source ... 17

2... 4... 3 Select the data for verification ... 17

2... 4... 4 Adjust Threshold ... 18

2... 4... 5 Confusion Matrix ... 20

2... 5 Testing ... 22

2... 5... 1 Select model ... 22

2... 5... 2 Result Pass/Fail ... 23

Chapter 3: Upgrading AISDetector ... 24

3... 1 Complimentary software upgrade policy ... 24

3... 2 How to upgrade AISDetector ... 24

3... 3 Cost to upgrade AI Software ... 24

Chapter 4: Support for your AI software ... 25

4... 1 Before you call customer support ... 25

4... 1... 1 Troubleshooting ... 25

4... 1... 2 Call for support ... 25

Appendix ... 26

Safety Information ... 26

Regulatory notice ... 26

Contacting ASUS ... 26

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About this manual

This manual provides an overview of the key features of this software and gives step-

by-step instructions for making full use of them...

How this manual is organized

Chapter 1 Getting to know AISDetector

This chapter gives an overview of the key features and functions of the

software...

Chapter 2 Using AISDetector

This chapter provides information on how to use the software...

Chapter 3 Upgrading AISDetector

This chapter provides information on how to upgrade the software,

pre-trained models, and other necessary functions...

Chapter 4 Support for AISDetector

This chapter provides information for troubleshooting and contacting

ASUS for support...

Appendix This section includes the notices and safety statements for this

software...

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Conventions used in this manual Throughout this manual, blocks of text as shown below are used to emphasize

important information...

IMPORTANT! This message contains vital information that must be followed to

complete a task...

NOTE: This message contains additional information and tips that can help to

complete a task...

WARNING! This message contains important information that must be

followed to keep you safe while performing certain tasks and prevent damage

to AISDetector data and functions...

Typography Bold Indicates a menu or an item to select

Italics Indicates a section in this manual with additional information

Package contents Inside the package is a USB dongle, which contains the activation key for AISDetector...

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Chapter 1: Getting to know AISDetector

1... 1 Introduction

AISDetector is an Artificial Neural Network (ANN) based application software that

together with a unique ASUS Artificial Intelligence (AI) user interface is designed to

detect anomalies in sound and vibration... The ability to detect these anomalies on the

factory production floors allows manufacturing challenges to be addressed promptly

for time and cost savings...

1... 2 Software

AISDetector is an AI-based end-to-end signal anomaly detection software for

collecting signals, training models using data sets, verifying and testing models, and

presenting results visually... AISDetector detects anomalies to help determine whether

products or equipment are running in a normal state...

With a friendly visual user interface (UI), AISDetector is extremely easy-to-use and

comes with a series of embedded tutorials that can be accessed at any time...

Simply label training signal data as OK or NG for various options of hardware type for

AI training without the need for data pre-processing... By following the uniquely pre-

defined ASUS AI software workflow, you can quickly train, verify, and test the target

to get results in a matter of minutes and easily become a second-to-none signal

analyst... With the data waveform displayed in the UI, you can narrow down the root

cause of any anomaly and conduct further analysis for process optimization...

1... 3 System Requirements

Your computer must meet the minimum system requirements below to run the

artificial intelligence model training and inference functions in this software...

CPU: Intel Core i3 or higher

DRAM: 8GB or more

USB: 2 free USB ports (For the license dongle or USB microphone)

Storage device: SSD (recommended)

Storage storage: 800 MB

Operating System: Windows 10 (64 bit)

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1... 4 Features

New target/project set up with just a few clicks

Using fast AI modeling technology, users can create a new AI model within 1

min, and this makes production-line changeover easy...

Designed to work seamlessly with sensors for real-time data collection and

testing

Dataset source flexibility - accepting either sound from a microphone or

vibration from an accelerometer

Variable frequency source allowable and anomaly detection with time-

frequency techniques

No AI accelerator needed: AISDetector only requires computing power from a

typical CPU... This means that an AI-based manufacturing system can be

adopted without significant investment...

1... 4... 1 Training

The training module includes Project, Train, Verification, and Testing for you to create

your own AI project...

1... 4... 2 Inference

In this section, you can create, configure, or import a project for various detection

targets...

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Chapter 2: Using AISDetector

2... 1 Download the software

Go to the ASUS IoT website and find the AISDetector product download page...

2... 1... 1 Install the software

Run AISDetector... msi once the image file is downloaded...

2... 1... 2 Activate the software

When prompted for the activation key, plug the ASUS IoT USB dongle into the

computer that you have installed the AISDetector...

2... 2 Project

This section is to help you create, configure, or import a project for each different

detection target... You can select the data source angle and define the hardware

category for a new AI project to be used for subsequent steps...

Add new project information

Define data saving path

Create or import a project

Configure detailed setting

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2... 2... 1 Add new project information

Allows you to name the project, add a description (optional), and select a

hardware type in the red box below...

2... 2... 2 Define data saving path

Allows you to define and manage test data location...

Click the sign at the top right corner to access project settings, select the Path

tab, set the path, and click OK...

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2... 2... 3 Create or import a project

Create a new project or import a previously defined or an existing project...

When all information is successfully selected in the Create Project box, click ADD

at the top right corner to create the new project...

To import an existing project, click Import at the top left corner...

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2... 2... 4 Configure detailed setting

Once a project is created or imported, the corresponding project information will

be shown in the Project List that is boxed in blue...

When you select a project, the project details are shown boxed in green... The pre-

trained model will be shown boxed in yellow as a task count...

Project summary will be shown in the area boxed in orange once a project is

activated...

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2... 3 Train

In this section, you are walked through the training process from creating a new

training task to finishing the training...

2... 3... 1 Create a new training task

Allows you to create a new task in Task List by entering a new task name and

description (optional)...

Click the Create new task icon in Task List... Enter a new task name and

description (optional), and then click OK...

Create a new training task

Modifiy or delete task

Select training

data source

Set training parameters

Start training

Complete training and check result

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2... 3... 2 Modify and delete task

Allows you to modify and delete task information

Click the Pen icon in Task List to make modifications... When done, click OK...

To delete a training task, select the task that you want to delete, click the Recycle

Bin icon in Task List...

Once the setup is complete, click Training Data, which is shown boxed in green

below, to select the training data source...

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2... 3... 3 Select training data source

You can select training data from the following three (3) data sources...

1... Use on-site accelerometer...

2... Load or select single or multiple recording files

3... Import an entire folder of sound recordings...

For all sound recording using a microphone, you can define the recording angle...

Even after the setup is complete, you can still change the training parameters

prior to training if needed...

Click Start to initiate the training... During the training process, the loss curves on

the X, Y, and Z axes, as well as the elapsed and remaining time, are displayed in

the main pane...

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2... 3... 4 Set training parameters

Click Setting to modify parameters...

Click the Model tab in the Setting dialog box...

Update the training Epochs or Loops, and then click OK to save...

2... 3... 5 Start Training

Once the setup is complete with parameter settings, click START to start the

training...

During training, the loss curves for the X, Y, and Z axes, as well as the training

time and progress will be shown for reference...

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2... 3... 6 Training complete

Once the progress percentage shows 100%, training is complete and ready for

verification and testing...

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2... 4 Verification

This section takes you through the evaluation and verification of the model...

2... 4... 1 Configure task and parameter

Select the tasks (boxed in red), angle (boxed in green), feature (boxed in blue),

and threshold (boxed in orange), and then click Start to start the evaluation...

Configure task and parameter

Select the data source

Select the data for

verification

Adjust Threshold

Confusion Matrix

Examples of Confusion

Matrix

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2... 4... 2 Select the data source

Data source options include accelerometer on-site, load single or multiple source

files, or import data from a folder to verify detection, loss, and overkill results...

2... 4... 3 Select data for verification

You have the option to enable or disable each dataset for evaluation...

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2... 4... 4 Adjust threshold

You can also select a specific angle (All, X, Y, Z) for verification and further

evaluation to verify detection, loss, overkill results... You can refer to steps A to D

below...

Step A:

Step B:

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Repeat steps A through C until you have completed the threshold adjustment...

Steps C and D:

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2... 4... 5 Confusion Matrix

Refer to the figure below for the definition and explanation of the Confusion

Matrix...

True Positives (TP): Predicted target event a Positive, and the actual

event is a positive...

True Negatives (TN): Predicted target event a Negative, and the actual

event is a negative...

False Positives (FP): Predicted target event a Positive, and the actual

event is a negative...

False Negatives (FN): Predicted target event a Negative, and the

actual event is a positive...

As mentioned above, we can use TP, TN, FP and FN values to calculate

accuracy, recall, loss, detection and overkill:

Accuracy = (TP+TN) / (TP+FP+FN+TN)

Accuracy is the ratio of total sum of all true events predicted

over total sum of all predicted events...

Precision = TP / (TP+FP)

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Precision is the ratio of true positive events predicted over

total sum of all predicted positive events...

Recall = TP / (TP+FN)

Recall is the ratio of true positive events predicted over

total sum of actual positive events...

Loss = FN / (TP+FN)

Loss is the ratio of FN events over total sum of actual

positive events...

Detection = TP / (TP+FN)

Detection is equal to Recall...

Overkill = FP / (FP+TN)

Overkill is the ratio of false positive events over sum of total

actual negative events...

Examples of Confusion Matrix

Let's say, there are a batch of examinees total of 100 pcs... The true event is that

92 are good and 8 are no-good with defect...

The examination event is as below:

1... 5pcs examined with defects, and they are defect parts (True Positive)

2... 90pcs examined good, and they are actually good parts (True Negative)

3... 3pcs examined with defects, and they are actually good parts (False

Positive)

4... 2pcs examined good, and they are defect parts (False Negative)"

Hence, the result as below

1... Accuracy = (TP+TN) / (TP+TN+FP+FN) = (5+90) / (5+90+3+2) = 95%,

meaning 95% of total examination events are accurate result...

2... Precision = TP / (TP+FP) = 5 / (5+3) = 62... 5%, meaning 62... 5% of total

examined defect events are actually defect events...

3... Recall or Detection = TP/ (TP+FN) = 5 / (5+2) = 71... 4%, meaning 71... 4% total

actual defect parts examined as defect events...

4... Loss = FN/ (TP+FN) = 2 / (5+2) = 28... 6%, meaning 28... 6% total defect parts

are not examined as defect events...

5... Overkill = FP/ (FP+TN) = 3 / (3+90) = 3... 2%, meaning 3... 2% of total good

parts are examined as defect events...

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2... 5 Testing

This section shows how to use a model to test and for further evaluation...

2... 5... 1 Select model

Before performing any tests, double check that a model is selected and there is

equipment input... Once confirmed, click Start...

Select model Check Result-

Pass/Fail

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2... 5... 2 Result Pass/Fail

Real-time result (Pass/Fail) is shown on the screen for the model selected... You

can also select Show Plot to show the waveform for further analysis...

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Chapter 3: Upgrading AISDetector

3... 1 Complimentary software upgrade policy

You are eligible for a complimentary upgrade under the following circumstances...

A new version of AISDetector is released with bug fixes

A new version of AISDetector is released with new features/functions/pre-

trained models within 365 days of your AISDetector purchase

Otherwise, you will need to pay for an upgrade...

3... 2 How to upgrade AISDetector

Go to the ASUS IoT website and find the AISDetector upgrade page...

Click Upgrade, and the website will check whether your AISDetector is eligible for an

upgrade... If it is eligible for a complimentary upgrade, the system will automatically

perform the upgrade...

Once the upgrade is complete, re-install and re-activate again by following the same

instructions for first-time installation and activation of your AISDetector software...

3... 3 Cost to upgrade AI Software

Check with your ASUS representative for more details...

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Chapter 4: Support for your AI software

4... 1 Before you call customer support

4... 1... 1 Troubleshooting

Double check your hardware and software settings to make sure that they are set to

run as designed...

4... 1... 2 Call for support

Find the phone number of the ASUS IoT support center that is nearest to or most

convenient for you...

A log file will be generated and saved in the system file manager folder

(AISDetector_version\etc\Log)...

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Appendix

Safety Information

Regulatory notice

Contacting ASUS

Taiwan

Talk to us

[email protected] com

Call Us | Official Support | ASUS Global

China

| ASUS

Germany

Telefonische Produktuntersttzung

+49 (0) 2102 5789 557

Telefon sterreich

+43 (0) 1360 2775 461

USA

Chat with us

1-888-678-3688

https://www... asus... com/us/support

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