Motion image detection algorithm for juvenile obesity based on video surveillance and internet of things

摘要

IoT (Internet of Things) real paper uses sensors and interfaces inevitably grasp the virtual digital world. For VIoT video surveillance, ChD (Change Detection) is an essential component. Time calculating the difference between the numbers of various ChD recorded in the video monitor progress span similar scene pattern. The histogram threshold is dependent on the data set in this document, and checking performed using highlight significant for video surveillance and VIoT calculation order ChD weighed. In the 21st century, heftiness is the most common and true happiness difficult, as the World Health Organization (WHO) says is a risk of personal life. In this case, the priority is set in a family environment, and controlling overweight children?s heftiness reduces good tendencies. In other words, this is a good thing; a little bit of effort has been a healthy way of life, focused on helping parents in advance. This paper warned of two brilliant gadget models to promote stability and prevent overweight adolescent?s reliable behavior. The separated data may be clients, engineers, and creators who enhance management in these gadgets, useful activities, and progress. In both cases, the data can be used to negotiate a free Internet safely and protect the age thing. In this work, the only convenient AI applications that rely on the phone?s sensor information also appear. It also illustrates the use of similar sensors and similar calculation of abnormal side-channel attacks.