Improving workplace safety and efficiency with AI and wearable technology
First written in FY2016. 8 of 9 entries say "Advanced", first in FY2017. Latest entry: FY2024.
0 other companies' latest entry also says "Advanced".
- FY2024AdvancedAnnual report
「A local 5G system, a high-capacity data transmission system that enables more efficient maintenance and inspection work through remote monitoring of power plant sites using video, audio and other data, as well as smoother transfer of technical expertise」
Describes the introduction of a remote monitoring system at a power company’s power plant as part of efforts to improve workplace safety and efficiency through AI, IoX and local 5G. - FY2022-Q3AdvancedAnnual report
「During the current fiscal year, we introduced and supported the operation of a new field test using a local 5G wireless network to promote DX for the energy industry.」
The company’s workplace DX initiative using local 5G was developed into the introduction and operational support of a new field trial for the energy industry. - FY2021AdvancedAnnual report
「In addition, the introduction of local 5G demonstration tests, mainly in the manufacturing and energy sectors, and solutions such as Safety Watcher, which uses IT to monitor workers, progressed, contributing to the promotion of DX at many manufacturing sites, including those of NIPPON STEEL CORPORATION.」
Describes the expansion of the safety monitoring solution from the development and sales stage to broader deployment at manufacturing sites. Local 5G field trials have also expanded into the manufacturing and energy industries. - FY2020-Q2AdvancedAnnual report
「We also expanded the lineup of the IoX solution Safety Watcher for safety management at manufacturing sites such as factories, and began selling an entry-level model to respond flexibly to customer needs.」
Describes a specific customer rollout of an IoX solution for workplace safety management through the launch of sales of an entry-level model. - FY2020-Q1AdvancedAnnual report
「We also began selling IoX predictive maintenance solutions using IoT and AI to address maintenance issues at plants and facilities.」
The launch of sales of an IoT- and AI-based predictive maintenance solution marked a shift from development and actual deployment to sales expansion. - FY2019-Q3AdvancedAnnual report
「To strengthen our services business, we proceeded with the rollout of an IoT-based safety and monitoring solution to new customers, promoted customers' digital transformation using DataRobot, the AI data analytics platform of US-based DataRobot, and developed our sales structure in Southeast Asia.」
The company stated that it had deployed an IoT-based safety monitoring solution for new customers, indicating a shift from existing service launch and actual deployment to customer expansion. - FY2018AdvancedAnnual report
「With regard to IoT, whose applications are expected to expand, we developed a safety monitoring application to support human safety and launched it as a service. In addition, as part of our technology development for analysing big data obtained from IoT and other sources, we developed a system for detecting equipment abnormalities and carrying out predictive maintenance using sensor data, and have begun applying it in customers’ workplaces as an abnormality detection platform.」
Describes the launch as a service of an application supporting workplace safety and the start of actual deployment at customer sites of an equipment abnormality detection and predictive maintenance platform. - FY2017AdvancedAnnual report
「Regarding the creation of new business models, the IoX Solutions Business Promotion Department established in April last year began providing IoX solutions (Note) to support the upgrading of on-site operations using advanced technologies such as AR (Augmented Reality) and wearables.」
The company announced the launch of solutions for field operations using AR and wearables, progressing from the previous PoC-focused stage to actual service delivery. - FY2016First statedAnnual report
「We focused on developing solutions to improve the safety and efficiency of workers in the field, particularly through the use of machine learning, including Deep Learning (Note 5), and wearable computers (Note 7), and conducted PoCs (Note 8) with customers.」
Conducted PoCs with customers using Deep Learning, machine learning and wearables for field operations.