User Manual

ManualsBrandsAsus ManualsAI SoftwareAISDetector

AISDetector

AI-based Application Software

User Manual v1.0

AI Solution BU

2021/8/18

Summary of content (27 pages)

PAGE 2
ASUS, Inc. About this manual ............................................................................... 3 Chapter 1: Getting to know AISDetector .............................................. 5 1.1 Introduction .................................................................................................... 5 1.2 Software ......................................................................................................... 5 1.3 System Requirements................................................
PAGE 3
ASUS, Inc. 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 ..........................
PAGE 4
ASUS, Inc. About this manual This manual provides an overview of the key features of this software and gives stepby-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.
PAGE 5
ASUS, Inc. 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.
PAGE 6
ASUS, Inc. 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.
PAGE 7
ASUS, Inc. 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.
PAGE 8
ASUS, Inc. 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.
PAGE 9
ASUS, Inc. 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. 8 © 2021 ASUS, Inc. All rights reserved.
PAGE 10
ASUS, Inc. 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. 9 © 2021 ASUS, Inc. All rights reserved.
PAGE 11
ASUS, Inc. 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 pretrained 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. 10 © 2021 ASUS, Inc. All rights reserved.
PAGE 12
ASUS, Inc. 2.3 Train In this section, you are walked through the training process from creating a new training task to finishing the training. Create a new training task Modifiy or delete task Select training data source Set training parameters Start training Complete training and check result 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.
PAGE 13
ASUS, Inc. 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. 12 © 2021 ASUS, Inc. All rights reserved.
PAGE 14
ASUS, Inc. 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.
PAGE 15
ASUS, Inc. 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. 14 © 2021 ASUS, Inc. All rights reserved.
PAGE 17
ASUS, Inc. 2.4 Verification This section takes you through the evaluation and verification of the model. Configure task and parameter Select the data source Select the data for verification Adjust Threshold Confusion Matrix Examples of Confusion Matrix 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. 16 © 2021 ASUS, Inc. All rights reserved.
PAGE 18
ASUS, Inc. 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. 17 © 2021 ASUS, Inc. All rights reserved.
PAGE 19
ASUS, Inc. 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: 18 © 2021 ASUS, Inc. All rights reserved.
PAGE 21
ASUS, Inc. 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.
PAGE 22
ASUS, Inc.     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.
PAGE 23
ASUS, Inc. 2.5 Testing This section shows how to use a model to test and for further evaluation. Select model Check ResultPass/Fail 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. 22 © 2021 ASUS, Inc. All rights reserved.
PAGE 24
ASUS, Inc. 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. 23 © 2021 ASUS, Inc. All rights reserved.
PAGE 25
ASUS, Inc. 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/pretrained 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.
PAGE 26
ASUS, Inc. 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). 25 © 2021 ASUS, Inc. All rights reserved.
PAGE 27
ASUS, Inc. Appendix Safety Information Regulatory notice Contacting ASUS Taiwan Talk to us AIS_support@asus.com Call Us | Official Support | ASUS Global China 官方支持 | ASUS 中国 Germany Telefonische Produktunterstützung +49 (0) 2102 5789 557 Telefon Ö sterreich +43 (0) 1360 2775 461 USA Chat with us 1-888-678-3688 https://www.asus.com/us/support 26 © 2021 ASUS, Inc. All rights reserved.