Microsoft opens Azure IoT Edge Runtime resources to make it easier for terminal devices to integrate artificial intelligence

In an earlier statement, Microsoft CEO Satya Nlla stated that it will build "the world's largest computer" on the Azure cloud platform. He also emphasized that this will drive the Azure IoT Edge platform that connects IoT applications, and further announced that it will Opening the Azure IoT Edge Runtime thread to the outside world makes it easier for developers to control various IoT devices through cloud services. In this announcement, it is confirmed that it will work together with Qualm and DJI to drive computer vision learning effects through a function called CustomVision to respond to various automation and remote operation needs.

In this cooperation with Qualm and DJI, CustomVision functions and Azure IoTEdge platform resources are respectively applied to the surveillance camera development kit launched by Qualm, or applied to the application design of DJI's aerial camera, allowing surveillance The camera can automatically determine suspicious images directly through computer vision, or the aerial camera can be used to inspect pipeline damage in locations that are difficult for staff to reach. At the same time, staff can control all operations remotely, allowing more work to be done through Automated operations are completed, thereby causing unnecessary safety problems or unnecessary cost waste.

This announcement of the opening of the Azure IoT Edge Runtime execution thread will make it easier for developers to access Azure cloud platform resources and apply them to various terminal devices, thereby driving more diverse artificial intelligence technology applications.

At the same time, Microsoft also announced that it will continue to expand the application of Azure AI technology. In addition to cooperating with brand manufacturers such as Coca-Cola, BMW, Twitter, KPMG, and NBA, it plans to continue to integrate more development tool resources in the future so that developers can Using Azure computing resources to create computer vision analysis, natural speech translation, and more natural conversational robot service interactions, it has even further cooperated with more hardware device manufacturers to develop kits. For example, in addition to cooperation with Qualm and DJI, it has also announced a voice cooperation with Roobo The recognition development kit allows developers to build hardware devices that can provide natural semantic analysis and translation services using Azure computing resources.