Mitsui Fudosan, Canon MJ, MODE and Imageous Launch Building Management Efficiency Proof of Concept

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  • 📰 Published: May 12, 2026 at 19:00
  • 🔍 Collected: May 12, 2026 at 10:31
  • 🤖 AI Analyzed: May 15, 2026 at 08:37 (70h 5m after Collected)
Mitsui Fudosan Co., Ltd., Canon Marketing Japan Inc., MODE, Inc. and Imageous, Inc. announced the start of a proof-of-concept project at Nihonbashi 1-chome Mitsui Building, a mixed-use building that includes the COREDO Nihonbashi commercial facility, to improve the efficiency of building management. Current building equipment management still relies heavily on human patrols and visual inspections. In anticipation of Japan’s shrinking workforce, the industry needs management models that do not depend solely on manual labor. Buildings also contain tens of thousands of equipment data points, but these are often managed separately, making it difficult to understand equipment status across the entire facility. As more mixed-use buildings combine offices, commercial facilities and public functions, new systems are needed to manage diverse equipment efficiently. In this project, the four companies will integrate data from cameras, building equipment and sensors in the cloud, while also using generative AI. They will verify the effectiveness of remote equipment data monitoring, anomaly detection, and support for field workers collecting equipment data. In the future, they aim to aggregate equipment data from multiple buildings and facilities and manage it by area, creating a foundation for equipment management digital transformation that supports stable building management and reliable urban operations. The proof of concept will integrate around 5,000 equipment data points managed by the central monitoring system, capture analog meters previously checked on site using network cameras, and collect data from distribution boards and other equipment using sensors. The acquired data and video will be centrally managed in the cloud. The project will test whether operators can understand detailed equipment conditions by calling up related data through conversational interactions based on alert notifications and automatically generated periodic reports. For serious risks such as electrical leakage and insulation abnormalities, it will also verify a new business process that enables remote continuous monitoring and initial response. Generative AI will be used to search and summarize various data, accelerating operational decisions and improving management sophistication. The proof of concept began on May 12, 2026, at Nihonbashi 1-chome Mitsui Building in Chuo-ku, Tokyo. Mitsui Fudosan will provide the test field and conduct operational review, verification and on-site evaluation. Canon MJ will handle solution proposals, project promotion and operational verification support. MODE will provide its IoT platform BizStack for integrating field data. Imageous will provide Roby Service Platform for acquiring and utilizing building equipment data.