Aizhuoyi Technology: Applying for a patent for electronic cigarette smoke detection to improve monitoring and identification accuracy

Aizhuoyi Technology: Applying for a patent for electronic cigarette smoke detection to improve monitoring and identification accuracy

According to Tianyancha information, Shenzhen iJOY Technology Co., Ltd. has applied for an image recognition technology patent for "an electronic cigarette smoke detection method and system based on image recognition", which is used to improve the accuracy and efficiency of electronic cigarette smoke detection. The system can monitor the use of electronic cigarettes in public places in real time.

According to Tianyancha information, Shenzhen iJOY Technology Co., Ltd. (iJOY) has applied for a patent called "an electronic cigarette smoke detection method and system based on image recognition", application number CN202410896905.5, application date July 5, 2024, and publication date August 2, 2024.

Patent application status of "A method and system for detecting electronic cigarette smoke based on image recognition" | Source: Tianyancha

The patent abstract shows that

"The present invention discloses a method and system for detecting electronic cigarette smoke based on image recognition, which relates to the field of image processing technology. An electronic cigarette smoke detection system based on image recognition includes: a rough image recognition module, an image enhancement module and a fine image recognition module. The present invention can effectively improve the recognition accuracy of electronic cigarette smoke by extracting smoke images to be identified by using the residual frame stacking method, and combining the dual recognition process of the rough smoke recognition model and the fine smoke recognition model; the rough smoke recognition model quickly screens out images that may contain smoke, and the fine smoke recognition model further improves the recognition accuracy. This step-by-step processing method can greatly improve the recognition efficiency; it can continuously capture frames of real-time monitoring videos and automatically identify electronic cigarette smoke, thereby realizing real-time monitoring and automatic recognition of electronic cigarette use behavior in public places, and effectively reducing the resource consumption of manual monitoring."