Patent for Image Recognition-Based E-cigarette Smoke Detection Method

Aug.23.2024

IJOY applies for a patent for an image-based e-cigarette smoke detection method and system in Shenzhen, China.

According to information from Tianyancha, Shenzhen iJoy Technology Co., Ltd. (IJOY) has applied for a patent for a method and system for detecting e-cigarette smoke based on image recognition. The application number is CN202410896905.5, the application date is July 5, 2024, and the publication date is August 2, 2024.

According to its patent abstract,

This invention discloses a method and system for detecting e-cigarette smoke based on image recognition, which involves the field of image processing technology. The e-cigarette smoke detection system based on image recognition includes: an image rough recognition module, an image enhancement module, and an image precise recognition module. By using the residual frame stacking method to extract the smoke image to be recognized, combined with the dual recognition process of the smoke rough recognition model and smoke precise recognition model, the invention can effectively improve the accuracy of e-cigarette smoke recognition. The smoke rough recognition model quickly filters out images that may contain smoke, while the smoke precise recognition model further improves the accuracy of recognition. This step-by-step processing method significantly enhances recognition efficiency. It can continuously capture frames of real-time monitoring videos and automatically identify e-cigarette smoke, enabling real-time monitoring and automatic identification of e-cigarette use in public places, effectively reducing the resource consumption of manual monitoring.

References:

[1] 一种基于图像识别的电子烟烟雾检测方法及系统

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