Research and Development of IoT-Based Instrumentation Technologies and Production Monitoring Applications
First written in FY2021. 5 of 11 entries say "Advanced", first in FY2022. Latest entry: FY2026.
The whole theme swung hardest in 2020: 1 of 7 companies on the "Worse" side.
11 other companies' latest entry also says "Advanced".
- FY2026AdvancedAnnual report
「At the consolidated subsidiary ジュピターアドバンスシステムズ株式会社, we worked on upgrading the integrated production management system "Misuzu8" to address the food manufacturing industry's need for DX, and completed development in March 2026.」
Completed development of an upgrade to Misuzu8, a DX and production management system for food factories, in March 2026. - 2026-05-27AdvancedPresentation materials on financial results
「Providing solutions that enable productivity and quality improvements through research into and development of AI image-diagnosis technology」
Specified AI image-diagnosis technology and data-analysis software as R&D areas, and set out plans to develop advanced technologies for food factories. - FY2025AdvancedAnnual report
「In addition, we conducted research into digital twin (※) technologies, including surveys and comparative studies of digital twin tools from various companies and case studies of the use of digital twin technologies in the factory market.」
Expanded the scope from research into IoT and production status management applications to research into AI image diagnosis, FA system integration and digital twins. Released a beta version of the integrated production management system "Misuzu8." - FY2024AdvancedAnnual report
「To achieve DX in food factories, we enhanced the production status monitoring and quality information management application developed in the previous fiscal year for the purpose of improving productivity and quality on food factory production lines. We also conducted research into predictive anomaly diagnosis technologies aimed at reducing maintenance costs for factory production equipment, as well as data analysis techniques aimed at transferring manufacturing know-how, reducing labor requirements, improving productivity and improving quality. In addition, we conducted research into technologies for determining whether products were acceptable and identifying their product type using AI-based image diagnosis technologies.」
Expanded the scope of research and development from the previous IoT and production status management research to application enhancement, predictive anomaly diagnosis, data analysis and AI image diagnosis. - FY2024-Q2RestatedAnnual report
「The Group's total research and development expenditure for the cumulative consolidated second-quarter period was ¥38 million. There were no material changes in the status of the Group's research and development activities during the cumulative consolidated second-quarter period.」
Stated that there had been no significant changes to research and development activities, including IoT-enabled instrumentation technologies, production status management applications and data analysis techniques. - FY2024-Q1RestatedAnnual report
「There were no material changes in the status of the Group’s R&D activities during the three months ended March 31.」
Stated that there had been no significant changes to research and development activities, including IoT-enabled instrumentation technologies, production status management applications and data analysis techniques. - FY2023-Q3RestatedAnnual report
「There were no material changes in the status of the Group’s R&D activities during the nine months ended December 31.」
Stated that there had been no significant changes to research and development activities, including IoT-enabled instrumentation technologies, production status management applications and data analysis techniques. - FY2023-Q2RestatedAnnual report
「There were no material changes in the status of the Group’s R&D activities during the six months ended September 30.」
Stated that there had been no significant changes to research and development activities, including IoT-enabled instrumentation technologies, production status management applications and data analysis techniques. - FY2023-Q1RestatedAnnual report
「There were no material changes in the status of the Group’s R&D activities during the three months ended March 31.」
Stated that there had been no significant changes to research and development activities, including IoT-enabled instrumentation technologies, production status management applications and data analysis techniques. - FY2022AdvancedAnnual report
「We conducted research into instrumentation technologies using IoT, developed a production-monitoring application for factories, and investigated the use of data-analysis techniques.」
In addition to research into IoT instrumentation technologies, specifically described research and development concerning production status monitoring and quality information management applications for food factories, data analysis and AI image inspection technologies. - FY2021First statedAnnual report
「We conducted research into instrumentation technologies using IoT, developed a production-monitoring application for factories, and investigated the use of data-analysis techniques.」
For the first time, explicitly identifies research and development involving IoT-based instrumentation technologies, factory production-monitoring applications and data-analysis techniques.