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Discuss | frankly, why is it difficult to implement industrial AR applications?
2022-07-07 18:10:00 【ALVA Systems】
AR How can technology be applied in large areas in the industrial field , What bottlenecks need to be overcome in technological development ?
For industrial enterprises , Deploy AR What is the biggest difficulty in application , What is the landing dilemma ?
……
6 month 30 Japan , With “AR How to help industry ‘ Meta universe ’” The theme of , Tiger smell held 「502 Online peers 」 Industrial digital transformation AR Special events ,ALVA Systems As an industry AR Application experts are invited to attend , With end-user enterprises in the field of industrial manufacturing around industry AR The topic of application landing is discussed , Many enterprises are defining industry AR Under the premise of applying this important development trend , Put forward many specific bottlenecks and concerns in the deployment process .
The evolution and development of innovative technology need to experience the continuous practice and differentiation of the market , Today, we will use the views and opinions of some users in the meeting to talk about the current industry AR Difficulties and challenges of deployment .
Confined in “ Show ” Level of AR application
“ In many application cases , Detect, for example 、 Monitoring , The data calculation itself depends on the existing system ,AR In addition to showing what other functions it has ?”
Many manufacturing enterprises are interested in AR The value cognition of application stays more in “ Show ” level , indeed , Visualization is AR The most direct application value , It is also relatively more mature in specific applications , from ALVA From the existing landing cases ,AR The application of display type has been widely enabled in the data information of equipment 、 Structural components 、 In the visual display of technical principles and other levels , In the traditional way “ Add a beautiful thing to a contrasting beautiful thing ”.
But it should not be limited to “ Show ”,“ The enterprise is interested in AR The cognition of function should start from visualization 、 Instruction, guidance and interaction Technical advantages , Transition to data access 、 Data dimension upgrading , Until the digitalization of human behavior Application value .”ALVA Systems Product planning director Guo Junxi said at the meeting .
This point of view may be understood in conjunction with the next question :“ Want to AR Technology to establish enterprise digital assets and knowledge map , Specifically, it depends on video ? Is there any other form ?”
in fact , adopt MR Glasses shooting operation video , Only completed the of knowledge and skill assets 【 collection 】 action , AR More value of application is reflected in the sorting and reuse of workflow .
adopt MR The workflow and operation steps of glasses collection need to be further integrated , Highlight key messages , Form reusable technical resources or training courses .
Junior engineers can learn courses directly through the platform 、 Training and assessment , Form the accumulation of knowledge and skills 、 Reuse 、 Optimize and update the value closed loop .
ALVA Expert Guider It is based on this application scenario , Be able to face different abilities 、 Industrial manufacturing enterprises with different resources provide a complete knowledge and experience reuse platform , Copy the workflow digitalization experience of leading enterprises with one click , Rely on the methodology of successful models , Form a knowledge and experience base suitable for their own development .
And the content of experience base is not limited to video content , Enterprises can apply products 、 The digital twin of equipment and even factories , Make more 、 More intuitive AR Application courses and more standardized workflow , But in the process , Implement to specific operation , There are many users who say they exist AR The bottleneck of content production .
Difficult to cross AR Content production bottleneck
Just like what we shared before “ Experts popularize science | The troops did not move , Gateway leading ,AR/VR Before applying 3D What work has the assembly line done ?” As described in , stay AR Before application landing ,3D The production of content has many steps , Enterprises need to solve more than AR Development challenges , Even enterprises with ready-made models , There is a long distance from the mock up to the cool dynamic effects , Excellent display effect and excellent application experience are difficult for traditional industrial manufacturing enterprises without relevant professional and technical personnel .
Facing development challenges ,ALVA It has been able to provide an out of the box content editing and creation platform for industrial manufacturing enterprises ——ALVA Editor, Create from model 、 From production to release , Three simple steps .
It has rich special effects and material templates ,ALVA Editor It can meet the basic content production requirements , In the training guidance course and AR Instructions 、 The operation manual has been made with ease , But in more complex 、 More content 、 Among the projects that need better display effects , Most customer enterprises also need to rely on ALVA Professional content production team to meet higher requirements of content production .
Regarding this , We also carry out continuous optimization at the product level , Meet higher requirements through richer resources . meanwhile , We have also found many enterprises who are interested in deploying the meta universe track , We have realized the importance of content production , Focus on training relevant talents , So we can make more professional enterprise differentiated content .
In this event , We find that many industrial manufacturing enterprises are interested in AR Application has a relatively clear understanding , However, there are many doubts and concerns about the specific application value .
Regarding this , Guo Junxi also made suggestions for industrial manufacturing enterprises :“ from childhood AR To interact in large space , Enterprises should jump out of technology and look at industrial application mode , Focus on data resources 、 Data analysis and value transformation of knowledge and experience .” And in the specific landing , He pointed out :“ Enterprises before deployment , It should be based on the application scenario , High frequency 、 Simple requirements are quickly implemented as daily applications 、 Lightweight deployment , Turn the low frequency times 、 Focus on the core scenario 、 Long term deployment .”
Buckle back the theme of the activity , Relatively broad “ Meta universe ” Concept , The industrial meta universe is quite concrete , In the face of industrial manufacturing scenarios with a higher degree of standardization , The metauniverse is more likely to land quickly , And not limited to conventional AR Application scenarios , We are in the continuous cooperation with customers , It has also explored many new application directions and ideas .
What do you think AR Landing in the field of industrial manufacturing ? Welcome to leave a message !
About ALVA Systems
ALVA Systems It is the world's leading provider of heterogeneous computing technology software and hardware , Together with China National Institute of metrology, we designed the world's first benchmark measurement tool for heterogeneous computing technology 、 by AMD、Intel、 qualcomm 、ARM Improve it CPU、GPU Hardware design and underlying driver function library to better adapt to heterogeneous computing .
In recent years, ALVA Take advantage of its leading technology in the field of heterogeneous computing , Application in the field of industrial Internet of things , Advanced underlying heterogeneous computing technology allows ALVA In low latency scenarios , It will still provide users with excellent and efficient AR Experience with .ALVA Systems Lead the market demand with technological innovation , Committed to becoming the source of your innovation .
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