The exhibition will include a dynamic demonstration of the blockchain-based wireless access sharing technology using commercial Wi-Fi APs and smartphones, in contrast to the FY2023 exhibition which used a laptop. In addition, a static exhibition of an implementation using private 5G devices will also be presented.
We will exhibit a method of automatically generating work processes by integrating information such as operation logs and procedure manuals. This technology enables automation of work processes, including non-routine tasks, suggests improvements, and generates operation manuals automatically. In this exhibition, we will demonstrate how work processes can be generated for non-routine tasks, such as data processing, while interacting with systems and files, and how improvements to operations can be suggested.
Integrating the technologies of infrastructure, equipment, and work support to visualize the future of field work
We will exhibit a holographic hand-model for supporting hand-work. This hand-model is easy to understand visually
and aims to contribute to shortening work time and improving work safety. Work simulation, remote work support, and remote training are being considered as possible targets for application of this technology.
Using technologies cultivated in communications, we are researching and developing technologies to realize proactive responses to large-scale earthquakes and intensifying torrential rain disasters by predicting damage to infrastructure facilities such as water supply and roads. In this article, we will introduce a visual image of road damage prediction.
The use of dash cams for infrastructure inspections has been expanding, in recent years. However, the dashcam inspections requires manual tasks, image-to facility linking, due to GPS positioning error. This exhibition demonstrates our technology that accurately identifies the location of facilities in dash came images. Inspection images with facilities location information can also be shared with other operators, reducing the overall inspection workload across social infrastructure.
We will introduce a use case of optical fiber environmental monitoring, i.e., road excavation detection. The novel technology aims to acquire a new social infrastructure monitoring business using optical fiber networks. The exhibition shows a system on the cloud that automatically detects and reports events without human intervention, which is expected to promote early introduction and develop new use cases.
In recent years, social issues related to the environment and energy have been highlighted. This research will evaluate the applicability of telecommunication facilities to new social infrastructures (using regional micro-grids for energy supply, energy savings, etc.) to solve the above issues and realize low-cost facility construction.
Onshore and offshore wind power generation is drawing attention as one of the power sources that can increase domestic energy self-sufficiency.
The developed method aims to detect the presence of blade damage and motor abnormalities using drones without stopping the operation of wind turbines. With the this method, it will be possible to increase the amount of power generated by wind power and maintain it safely and efficiently.
There will be a static display of images and drones showing the demonstration experiment.
To eliminate workplace accidents caused by human error, it is necessary to prevent mistakes by determining the cognitive state of workers. We aim to tackle this challenge by estimating the cognitive state using eye movement (gaze and pupil). In this exhibition, we introduce an effective training system that can evaluate whether or not a dangerous area has been recognized, using eye movement information from commercially available devices, targeting a dangerous training scene in a VR environment.