Affected by the new crown epidemic, new applications based on various AIoT technologies and products, such as trajectory tracking, body temperature monitoring, and unmanned delivery, have developed rapidly, and the concept of edge AI inference has also been sought after by the industry market. However, for AI product developers, the problems brought about by the variety of edge hardware platforms and different AI development environments have become a huge threshold for AI products to land.
Advantech launched the DeviceOn/ViViA industrial application suite in 2021, focusing on the field of edge AI inference, providing three basic functions: video data access, video image processing, and AI model runtime environment, as well as cross-platform hardware adaptation services, aiming to help customers solve the problem of adapting AI algorithms from training servers to edge hardware. DeviceOn/ViViA is designed with a cross-platform architecture to adapt to Advantech's extensive edge computing hardware products. In order to accelerate the development of edge AI applications, it provides full-process support functions for AI algorithm inference from input to output, including: integration of mainstream IP/USB/MIPI Camera access functions on the market, hardware encoding and decoding functions based on different hardware platforms, compatibility with mainstream AI algorithm frameworks on the market, support hardware acceleration engines including RK, NXP, intel, and Nvidia, and built-in algorithm applications such as face recognition, object detection, and license plate recognition. In order to get a better user experience, DeviceOn/ViViA also provides ViVi Studio, a web workbench for generating AI applications without code, which can generate AI applications associated with business logic by dragging, dragging, and configuring parameters, and also provides a set of VIVI SDKs for flexible integrated development to extend ViVi Studio function modules to enrich business logic.
DeviceOn/ViViA has been applied to smart retail, smart property and other fields, taking unmanned retail store management as an example, to solve the problem of store customer access management and goods settlement, all need the ability of video AI recognition, DeviceOn/ViViA can access the video data of various cameras, and at the same time run face recognition, product detection algorithms on the edge side, and integrate with the access control system and settlement and payment system to quickly realize the scenario-based application of non-inductive access and self-service settlement.
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