USPTO Patent Grant: Cyclical Event Period Detection System

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published March 24th, 2026

Detected March 25th, 2026

Summary

The USPTO has granted a patent (US12586379B2) for a system designed to detect the occurrence period of cyclical events using image monitoring and advanced signal processing techniques. The patent was filed by INVENTEC (PUDONG) TECHNOLOGY CORPORATION and includes 8 claims.

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What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12586379B2 for a "System for detecting occurrence period of cyclical event." The patent, assigned to INVENTEC (PUDONG) TECHNOLOGY CORPORATION, details a method involving image monitoring, feature vector extraction, signal processing (including STFT), denoising, and calculation of event-cycle achievement rates to determine event occurrence time and period.

This patent grant is a routine intellectual property action and does not impose new regulatory obligations on businesses. However, it signifies innovation in AI and computing, specifically within image analysis and event detection systems. Companies operating in areas that utilize cyclical event monitoring, such as manufacturing process control, environmental monitoring, or security surveillance, may find this patented technology relevant for potential licensing or competitive analysis.

Source document (simplified)

← USPTO Patent Grants

System for detecting occurrence period of cyclical event

Grant US12586379B2 Kind: B2 Mar 24, 2026

Assignee

INVENTEC (PUDONG) TECHNOLOGY CORPORATION

Inventors

Jing-Lun Huang, Yu-Lun Chang, Wei-Chao Chen

Abstract

A system for detecting an event occurrence period of cyclical event includes an image monitoring device and a period judgment device. The image monitoring device captures monitoring images respective in image capturing times. The period judgment device extracts feature vectors from the monitoring images to calculate vector values to accordingly generate a vector value time domain signal, executes a short-time Fourier transform (STFT) with a window width time to transform the vector value time domain signal to a spectrogram, makes the spectrogram be denoised to generate a representative frequency time domain signal, and calculates an event-cycle achievement rate and a product term accumulation number after each window width time, so as to accordingly calculate event occurrence time and the event occurrence period.

CPC Classifications

G06V 20/40 G06V 20/46 G06V 20/52 G06V 10/454 G06V 10/82 G06V 10/62 G06V 2201/06 G06V 10/22 G06V 10/235 G06V 10/25 G06V 20/44 G06T 2207/20081 G06T 2207/20084 G06T 7/0004-001 G06T 2207/30108-30164 G06N 3/02-0985