Product Advantages

  • Intelligent Edge

    IEF extends AI and big data features, such as video analysis, OCR, image recognition, and big data stream processing, to where it is needed, and provides real-time intelligent edge services.
    IEF extends AI and big data features, such as video analysis, OCR, image recognition, and big data stream processing, to where it is needed, and provides real-time intelligent edge services.
  • Multiple Runtime Environments

    Applications can be started up or upgraded quickly as IEF is compatible with Kubernetes and Docker ecosystems. IEF also supports function engines such as Python and Node.js to address quick response to events at the edge.
    Applications can be started up or upgraded quickly as IEF is compatible with Kubernetes and Docker ecosystems. IEF also supports function engines such as Python and Node.js to address quick response to events at the edge.
  • Open Compatibility

    IEF supports heterogeneous hardware access. x86, ARM, NPU, and GPU are all supported. Open source KubeEdge project, the first edge computing project elected into CNCF, has become the standard architecture in the intelligent edge computing domain.
    IEF supports heterogeneous hardware access. x86, ARM, NPU, and GPU are all supported. Open source KubeEdge project, the first edge computing project elected into CNCF, has become the standard architecture in the intelligent edge computing domain.
  • Security and Reliability

    Edge nodes are securely connected to the cloud, and application data is securely transmitted to the cloud. High availability of edge services ensures reliability of edge applications.
    Edge nodes are securely connected to the cloud, and application data is securely transmitted to the cloud. High availability of edge services ensures reliability of edge applications.

Application Scenarios

  • Public Safety Monitoring

  • Visual Product Inspections

  • Optical Character Recognition

  • CDN Site Management

Public Safety Monitoring

Public Safety Monitoring

Edge-side video pre-processing through real-time surveillance can predict incidents, take appropriate actions, monitor the situation, and track the results.

Advantages

Flexible Customization
Through edge-cloud synergy, edge intelligence capabilities can be customized and intelligent algorithms can be quickly deployed for optimal services.
High Efficiency and Intelligence
Edge-side video pre-processing, combined with intelligent cloud video analysis, accurately and efficiently locates suspicious situations.
Centralized Control
The lifecycle of edge applications can be managed in the cloud, reducing O&M costs.

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Visual Product Inspections

Visual Product Inspections

In industrial manufacturing, IEF combines cloud modeling and edge decision-making to achieve automatic visual inspection, moving away from traditional manual visual inspections.

Advantages

High Efficiency
Edge-side deployment of visual models trained in the cloud enables real-time product prediction, improving detection efficiency and product quality.
Optimal Model
Model training in the cloud, data processing at the edge, and incremental model training optimization achieve optimal model.
Unified Control
IEF delivers models and monitors node status in a unified manner.

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Optical Character Recognition

Optical Character Recognition

IEF provides a flexible, scalable, and high-availability end-to-end solution. In this solution, data anonymization and image slicing are performed at the edge, and preprocessed data is uploaded to the cloud for OCR, so that private data is kept private.

Advantages

High Security

With edge-cloud synergy, data is anonymized at the edge and OCR occurs in the cloud to protect user privacy.


High Efficiency
Unified management of edge nodes and applications reduces the application deployment and upgrade time from days to just 30 minutes.
Unified O&M
The cloud monitors edge nodes and applications, and manages their logs in a unified manner, which helps you locate faults efficiently.

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CDN Site Management

CDN Site Management

Unified management of CDN sites deployed across the country helps users implement automatic application scheduling, auto scaling, and O&M of edge nodes and applications.

Advantages

Auto Scaling
Cloud servers or containers automatically scale up or down with the service load, ensuring stable and healthy running of services.
Intelligent Scheduling
Inter-node and inter-application affinity scheduling is supported.
Dimensional O&M
Service status and edge node status are monitored in real time to ensure stable running of applications.
Local Autonomy
Services can run properly even when edge nodes are disconnected from cloud center networks.

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Functions

  • Edge Node Access

    Convenient and secure access to massive edge nodes, and unified management, monitoring, and O&M in the cloud.
    Convenient and secure access to massive edge nodes, unified management, monitoring, and O&M in the cloud.
  • Lifecycle Management

    Huawei and third-party applications are distributed to edge nodes, and uninstalled, updated, monitored, and recorded.
    Huawei and third-party applications are distributed to edge nodes, and uninstalled, updated, monitored, and recorded.
  • AI Algorithm Extension

    Edge-side stream and object data is efficiently transferred to the cloud-side DIS and OBS.
    Edge-side stream and object data is efficiently transferred to the cloud-side DIS and OBS.
  • Edge-Cloud Synergy

    IEF provides real-time flow processing through flow processing task management in the cloud and flow running on edges.
    IEF provides real-time flow processing through flow processing task management in the cloud and flow running on edges.
  • Chip Integration

    Integration with Huawei-developed Ascend chips provides low-cost, high-performance edge AI computing.
    Integration with Huawei-developed Ascend chips provides low-cost, high-performance edge AI computing.
  • Edge-Cloud Data Channel

    Data generated by edge applications can be securely and efficiently forwarded to other cloud-side services (such as DIS) or third-party applications.
    Data generated by edge applications can be securely and efficiently forwarded to other cloud-side services (such as DIS) or third-party applications.

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