The intelligent edge consists of a local operating package and a cloud management suite.The local operating package can empower edge computing nodes, enabling them to have data collection, data calculation, data synchronization and other capabilities.The cloud management suite provides management capabilities for massive edge nodes to achieve cloud-side collaboration.
IOTHUB, video access and preprocessing, function calculation, remote release and other functional module images, as well as various runtime supports are provided officially, covering most scenarios
BIE local running package supports container and modular configuration mode, allowing users to customize function module images to create unique edge computing
BIE supports x86, ARM and other hardware as well as Linux, MacOS, Windows and other operating systems.
BIE cloud supports easy configuration of BIE local running package, convenient formation of applications, and provides application version iteration mechanism and OTA deployment and release mechanism
While BIE provides mainstream runtime support, it also provides various runtime conversion services.
BIE provides optimized operation services of various AI models on hardware devices, allowing applications to obtain better hardware resources on the hardware.
Through CFC, BML, EasyDL and other products, you can easily create various functions and AI models in the cloud.
Cloud Edge establishes a certificate-based two-way channel. Certificate-based authentication between edge applications.
The machine vision model trained in cloud has been applied in all walks of life, including face recognition, industrial quality control, urban management and public security. Baidu IntelliEdge BIE service provides the ability to easily deploy these visual models to local devices, which, on the one hand, provides fast recognition response, and, on the other hand, reduces the cost of video/image transmission bandwidth
Edge Machine Vision Architecture
Facing complex data acquisition environment, a variety of data communication protocol, and vast amounts of raw data and different data flow needs, IntelliEdge can, through functional module combination, easily build up edge computing applications integrating data acquisition, protocol parsing, data analysis, and data forwarding, so as to meet the general needs of most of IoT scenarios such as industrial production and urban monitoring
Edge Data Analysis Architecture