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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-2026105750-A1, on 16 April 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000000572

Methods and Systems for Detecting Anomalies in Utility Enclosures

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Classification
Sensors, Controls & Machine Vision › Machine Vision
Original source
US-2026105750-A1, the United States Patent and Trademark Office, 16 April 2026
Document SHA-256
84c36849b6ea5fd6312ef08726bc78164445f4adb319e72736b91bb45d9c87c9

Abstract

Provided herein are systems, methods, and computer-readable media for monitoring utility enclosures. In one embodiment, a sensing device comprises a sensor—such as a visual or infrared camera—and a processing module configured to receive sensor output, process the data using stored algorithms to assess environmental conditions, and wirelessly send anomaly data (e.g., images, text descriptions, and metadata) to an analysis system. The analysis system includes a receiving module and an analysis module that processes the received data with algorithms to compare current sensor information to stored data and verify the anomaly's accuracy. In some embodiments, the processing algorithms operate with lower computational requirements than those in the analysis system. The invention further encompasses methods for detecting, processing, and transmitting sensor data and computer-readable media containing instructions to perform these tasks.

Publication information

Citation

OpenTechnical Publication OT-2026-000000572, “Methods and Systems for Detecting Anomalies in Utility Enclosures,” published September 15, 2026 at 19:03:06 UTC, https://opentechnical.org/p/OT-2026-000000572.

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