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Abstract: ModelArts Pro provides a vision kit, designed to help customers in various industries quickly develop visual AI applications that meet business demands, and at the same time support customers to independently organize workflows, quickly realize the development and deployment of AI applications, and improve the efficiency of visual AI development . Today I will show you how to build a visual AI application with zero code~

This article is shared from the Huawei Cloud Community " Cloud Lesson | ModelArts Pro Vision Kit: Building Vision AI Application Zero Code", author: Reading Fengyun.
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ModelArts Pro is a professional development kit for enterprise-level AI applications. Based on Huawei Cloud's advanced algorithms and fast training capabilities, it provides preset workflows and models to improve the development efficiency of enterprise AI applications and reduce the difficulty of development.

ModelArts Pro provides a vision kit designed to help customers in various industries quickly develop vision AI applications that meet business demands, and at the same time support customers to independently organize workflows, quickly realize the development and deployment of AI applications, and improve the efficiency of vision AI development.

Pre-built workflow

· Retail product identification workflow

In supermarkets, retail stores, and other scenarios, product types are updated quickly, and product recognition technology will greatly improve product optimization and operational efficiency. ModelArts Pro provides a retail product identification workflow, provides you with high-precision product identification algorithms, and improves the efficiency of new retail product launches.

· Hot-rolled steel sheet surface defect detection workflow

In a steel plant, external factors such as the material of the steel plate, heat treatment process, and use environment will affect the service life of the steel plate, and these external factors cause steel plate defects. Studying the types of defects on the surface of the steel plate is critical to the service life of the steel plate. ModelArts Pro provides a hot-rolled steel plate surface defect detection workflow, provides a high-precision steel plate surface defect recognition algorithm, and improves the online efficiency of steel plate surface defect detection scenarios.

· Cloud recognition workflow

Observing the external shape of the cloud, that is, the shape and structure of the cloud, and the height of the cloud base, have an important impact on predicting weather changes. ModelArts Pro provides a cloud recognition workflow, providing you with a high-precision cloud recognition algorithm to predict weather changes based on the external shape of the cloud.

· Brake disc recognition workflow

In the production of auto parts, dozens or hundreds of different types of products are often produced at the same time. Whether these parts can be sorted efficiently and accurately before leaving the factory is particularly important to the benefit of the enterprise. ModelArts Pro provides a brake disc recognition workflow, which can quickly and accurately identify brake disc types by constructing a brake disc recognition model.

· Unsupervised license plate detection workflow

License plate detection and recognition technology is of great significance to the intelligentization of traffic management and improving the stability of traffic law enforcement. ModelArts Pro provides an unsupervised license plate detection workflow, based on a high-precision unsupervised license plate detection algorithm, without the need for users to label data, greatly reducing the cost of labeling and improving the online efficiency of license plate detection scenarios.

Featured advantages

· Rich scenes, covering retail, industrial, meteorological, transportation and other scenes.

· The process of model training and updating is automated, making it easy to update the model.

· Professional domain model to accurately identify and understand image content.

· The model can be continuously optimized based on feedback during use.

Zero code to build vision applications

Step 1: Activate the package

The ModelArts Pro vision kit is currently in the public beta stage. The first use of the vision kit requires the public beta permission.

Log in to the ModelArts Pro console, select the industry kit card and click "Apply for Public Test", fill in the required information according to the interface prompts on the application for public test page.
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After the application for public beta is completed, click "Go to My Public Beta" to enter the "My Public Beta" page. When the "Approval Status" is displayed as "Approved", it means that you have obtained the public beta permission for the industry suite.

Step 2: Entrust authorization

When you use ModelArts Pro, ModelArts Pro needs to be authorized to access the cloud resources of the ModelArts service. If there is no authorization, the related functions will not be able to be used normally.

If you have not obtained ModelArts delegation authorization and access key (AK/SK) authorization, when you enter the industry suite of the ModelArts Pro console, the "Access Authorization" dialog box will pop up.

Fill in the authorization information in the pop-up "Access Authorization" dialog box, and then click "Agree to Authorize" to complete the access authorization configuration.

"User name" is the user name that currently needs to be authorized, and keep the default value.

Select "modelarts_agency" for "Delegation".

Check "I have read and agree to the "ModelArts Service Statement"".
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Step 3: Create an application

According to your industry and application scenarios, select the matching workflow to create your application.

1. On the ModelArts Pro console interface, click "Enter Suite" on the "Natural Language Processing Suite" card.

Enter the vision kit console.
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2. Select "Application Development> Workbench" in the left navigation bar.

Enter the "My Apps" tab by default.

3. On the "My Application" tab, click "New Application".

Go to the "New Application" page.

You can also click "My Workflow" to switch to the "My Workflow" tab, select the workflow and click "New Application" in the card.
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4. Fill in "application name", "application leader" and "application description" according to business requirements, select "industry" and workflow, and then fill in "asset configuration" according to the selected workflow.
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5. After confirming the information, click "OK".

Create a new application successfully.

Step 4: Develop and launch the application

Complete the workflow according to the process guidelines and release the application online.

Retail product identification workflow:
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Hot-rolled steel sheet surface defect detection workflow:
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Cloud recognition workflow
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Brake disc recognition workflow
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Unsupervised license plate detection workflow
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Step 5: Iterative optimization

Maintain applications and continuously optimize iterations.

Retail + ModelArts Pro

Since the cake cannot be affixed with barcodes, it is necessary to manually memorize a large number of cake codes for settlement, which is prone to problems such as checkout errors and long customer queues.

The self-service merchandise cashier application developed based on ModelArts Pro can automatically identify merchandise, greatly shortening the waiting time for cashier.

The features of automatic learning and automatic training allow merchants to update applications independently, and new products can be launched on the same day.
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Industry+ModelArts Pro

The identification of differences in the proportion of auto parts in shape, size, contour, texture, and aperture usually requires manual work, which consumes a lot of manpower and process costs.

The self-service sorting application developed based on ModelArts Pro can automatically identify all kinds of auto parts, greatly reduce the consumption of manpower and material resources, and increase the economic value of the production line.

With the support of iterative capabilities, users can update their recognition applications by uploading pictures of new parts and components themselves.
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