In the midst of a serious labor shortage, the maintenance and management of social infrastructure is in a critical state. Various technologies are being considered to combat this problem, the most practical of which is the use of surveillance cameras to remotely acquire video footage. This will reduce the frequency of dispatching workers to the site to deal with malfunctions, etc., and will also make it possible to replace periodic patrols, etc., by means of remotely obtained images. Thus, the use of camera images for remote monitoring of social infrastructure has become a major trend.

Amnimo Corporation, a subsidiary of Yokogawa Electric Corporation, is a rapidly growing company that provides robust IoT devices and cloud services that streamline operations using video. The LTE gateway provided by Amnimo has features rarely found in conventional LTE devices, such as a PoE power supply to surveillance cameras, automatic restart when the camera freezes, and an anti-momentary power loss function that keeps the device running for a while even when the external power supply is cut off. Amnimo's LTE gateway is also equipped with a function that is rarely found in conventional LTE devices.

Amnimo's cloud service for video enables recording to the SSD installed in the gateway and uploading important video to the cloud for viewing, thereby realizing rich video processing functions without increasing the volume of data transmitted over LTE communications.

Furthermore, we are currently developing an AI edge gateway equipped with a chip capable of high-speed AI computation with low power consumption, and anomaly detection using image AI will be added as a new business domain.

In this presentation, we will explain how Amnimo's video solutions and image AI will evolve the remote monitoring of social infrastructures, referring to case studies