Cookies and the protection of your data

We use cookies to improve the functionality of the website, to offer you a better website experience and to provide social media features. You give your consent by clicking on “Accept all Cookies” or as part of your individual settings. Please find detailed information on the use of cookies on this website in our Data Privacy Statement.

Functional Cookies

These cookies are necessary for the operation of the site and enable security-relevant functions. In addition, we determine whether you want to remain logged in and to make our services available to you when you change between this and other websites.

Statistical Cookies

These cookies are used for analyzing user behavior on our website with the aim of improving user navigation. All data collected is evaluated anonymously. Further information is available on our data protection site.

Marketing Cookies

These cookies are used to deliver relevant advertising or to limit how many times you see an ad. Marketing cookies can share that information with the advertiser (third-party cookies). The legal basis for the data processing is the consent of the user.

Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
Huawei AR Inspection System
2023

Share:

Huawei AR Inspection System

AI and AR application for industry inspection

Huawei Technologies Co., Ltd.

Huawei AR Inspection System based on AI algorithms and AR technology and intuitive UI, helps staff in oil-gas field industry complete inspection tasks more accuracy and efficiency, discover equipment problems in time, and avoid safety accidents. Recently industrial inspection has the characteristics of high frequency and heavy workload, data shows 20% of safety accidents are caused by inspection mistakes. The system can recognize the data and status of equipment , also can remind the task's location and content in real-time, assist staff to complete work efficiency and reduce the workload, improve the well-being of staff.

Date of Launch
2022
Development Time
up to 12 Month
Target Regions
Asia
Target Groups
Consumers / Users, Trade / Industry, Public Sector / Government

RELATED PROJECTS