Work item:
|
H.CEC-AP
|
Subject/title:
|
Architecture and protocols of cloud-edge collaboration in industrial machine vision systems
|
Status:
|
Under study [Issued from previous study period]
|
Approval process:
|
AAP
|
Type of work item:
|
Recommendation
|
Version:
|
New
|
Equivalent number:
|
-
|
Timing:
|
2027 (Medium priority)
|
Liaison:
|
ITU-T SG11, SG13, SG20
|
Supporting members:
|
Zhejiang Dahua Technology, Zhejiang University, China Telecom, China Mobile
|
Summary:
|
With the continuous improvement of industrial automation and intelligence requirements, industrial machine vision technology is widely used in intelligent manufacturing, smart logistics warehousing, smart energy, and other scenarios. The data-intensive applications and computing-intensive applications are continuously increasing, the powerful computing and network resources of cloud computing collaborative with the high-speed response capability of edge computing can greatly improve the application level of machine vision systems in the industrial field.
The cloud-edge collaboration is a process (or method) that coordinates cloud computing and edge computing, dynamically allocates required computing, algorithm models, data, or other resources, and jointly completes the same tasks (or objectives) agreed in advance. In industrial machine vision systems, the cloud-edge collaboration includes resource collaboration (computing, network, and storage), service collaboration (data, intelligence, and task), and application collaboration (capability and management).
This Recommendation specifies the architecture and protocols of cloud-edge collaboration in industrial machine vision systems, which meet the requirements and framework specified in [ITU-T F.747.13]. This Recommendation is intended to guide the design, development, implementation, and application of industrial machine vision systems.
|
Comment:
|
-
|
Reference(s):
|
|
|
Historic references:
|
Contact(s):
|
|
ITU-T A.5 justification(s): |
|
|
|
First registration in the WP:
2024-09-19 15:04:43
|
Last update:
2024-09-19 15:23:20
|
|