July 10th, 2026

DSR Cor­po­rati­on's Noema Show­ca­sed Water Level Detec­ti­on AI and Ana­log Meter Moni­toring AI at CSPI EXPO 2026

DSR Corporation's Noema Showcased Water Level Detection AI and Analog Meter Monitoring AI at CSPI EXPO 2026

The solutions were demonstrated at the booth of DSR's business partner, CTS Corporation(Ueda City, Nagano Prefecture), where they were featured as new capabilities within CTS's Site Assist Package through live demonstrations.

Noema's computer vision AI solutions have been deployed across a variety of industries in Japan for more than six years. Its Water Level Detection AI, trained through more than five years of deep learning on extensive image datasets from Japan and around the world, has been deployed in production environments, including by Japanese municipalities. The solution also supports snowfall detection and flood monitoring. Noema also showcased its Analog Meter Monitoring AI, which addresses the growing demand for automated monitoring of analog gauges in industrial and infrastructure environments.

During the event, DSR and CTS highlighted their plans to conduct field trials at construction sites, focusing on highly mobile deployments for construction projects and temporary infrastructure. Visitors also had the opportunity to preview these future capabilities through the Site Assist Package.

The demonstrations connected the CTS booth in real time to existing field installations, allowing attendees to view live monitoring data from both the Water Level Detection AI and Analog Meter Monitoring AI systems. The demonstration also featured integration with YouTube for live visualization.

The showcase demonstrated how computer vision technology is making AI more practical and accessible for everyday operations, helping organizations automate monitoring, improve situational awareness, and support more efficient field operations. Visitors experienced firsthand how these technologies can deliver real-world value across construction, infrastructure, and public sector applications.

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