AI/IoT-Based Aged Facility Management Solution
With easy installation and 24/7 monitoring, the system detects crack-prone points in advance, eliminating potential risks before they escalate and ensuring overall facility safety.
AI/IoT-Based Aged Facility Management Solution
With easy installation and 24/7 monitoring, the system detects crack-prone points in advance, eliminating potential risks before they escalate and ensuring overall facility safety.
01
Intuitive Dashboard
A dashboard-based interface enables intuitive crack detection and allows all related data to be reviewed at a glance.
02
Three-Layer Sensing for Risk Detection
Crack, vibration, and tilt are monitored through a three-layer sensing system that enables proactive risk identification.
03
Time-Series Data Analysis
Short-term time-series data is analyzed to detect crack-progression patterns and to identify anomalies in advance.
04
AI-Based Analysis Reports
Monthly AI-generated reports provide automated analysis based on collected crack data, including branching or displacement patterns.
RAYCOM Co., Ltd. CEO: Shin Sung-woong 1404, Building A, Saenggakgongjang Dangsan, 150 Yeongdeungporo, Yeongdeungpo-gu, Seoul Business Registration No.: 582-87-00196
TEL. 02-6275-8040 FAX. 070-7673-2255
EMAIL. sales@raycom.co.kr
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Raycom., Inc. CEO: Shin Seong-woong 1404, Building A, Saenggakgongjang Dangsan, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul
Business Registration No. 582-87-00196 TEL. +82-02-6275-8040
FAX. 070-7673-2255 EMAIL. sales@raycom.co.kr
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