SHIN-JIGEN to Demo Predictive Detection for Building Electrical Equipment with On-site Learning Edge AI at Electrical Construction Exhibition – 'Know Before It Breaks'

SHIN-JIGEN Inc. (Nara City, Nara Prefecture; Representative Director/CEO: Tamao Okamoto), a company that supports breakthroughs with "robotics and edge AI"*1, will exhibit solutions for infrastructure maintenance in buildings utilizing on-site learning edge AI at the Electrical Construction Exhibition.

At this exhibition, focusing on predictive detection of anomalies in electrical equipment, SHIN-JIGEN will introduce demonstrations targeting distribution boards, switchboards, and other electrical facilities. This includes a "Tracking Anomaly Detection System" that detects minute short-circuit currents appearing in current waveforms during the initial stages of tracking, and a "Thermal Electrical Anomaly Detection System" that detects abnormal heat on terminals and wiring based on temperature images acquired from thermal image sensors. Both systems aim to detect signs of anomalies based on changes in equipment status, utilizing on-site learning edge AI.

In conjunction with introducing the exhibition content, a "SJ Morning Webinar" will be held from 8:30 AM on Wednesday, May 20, 2026. During the webinar, CEO Okamoto will explain the application of on-site learning edge AI to the field of building infrastructure maintenance, based on the exhibition content at the Electrical Construction Exhibition.

SHIN-JIGEN will continue to leverage its expertise in robotics and edge AI to update industries and society from the perspective of "future implementation."

*1: Edge AI... A technology that processes information using AI on the network's edge (terminals and devices) rather than in the cloud. It offers significant advantages in terms of real-time performance, security, and communication costs, and is attracting attention as a "technology that changes the concept of infrastructure" because it can implement the power of AI in a way that is more closely aligned with social activities and daily life.

The 74th Electrical Construction Exhibition Overview

Dates: Wednesday, May 27, 2026 – Friday, May 29, 2026

Venue: Tokyo Big Sight East Halls 1, 2, 3

Exhibition Location: Within SSC Corporation booth

Official URL: https://www.jecafair.jp/

SJ Morning Webinar Overview

Theme: Application of On-site Learning Edge AI to Building Infrastructure Maintenance – Introduction to the Exhibition Content at the Electrical Construction Exhibition

Date & Time: Wednesday, May 20, 2026, 8:30 AM

Format: Online distribution (Zoom)

Participation Fee: Free (pre-registration required)

Application URL: https://us06web.zoom.us/webinar/register/5517586058170/WN_JzSRgBzNQ3O61igEVqQtfQ

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