AI and ML technologies that improve our lives are permeating every area. AI is gradually entering the vaping industry as well. Today, it is complicated to say what the future holds for this technology in the field of vaping because the industry is still a newborn. In this article, you can learn about current innovations and research on the topic. And if you have your project in mind, you may find a clue as to what to do next.
AI progress does not stand still, and now we see how to apply this technology to vapes. For example, the iJoy Avenger 270, a kit with full voice control. The device understands the following commands:
It adds more fun to the vaping process. Indeed, who would not want to surprise friends with such a spectacular device?
However AI technologies can bring people not only fun but also benefits. Just like PLONQ disposable e-cigarettes. The device is ideal for those who want to quit smoking. PLONQ AI algorithms analyze each puff and session and replicate the smoking habit of a person. By learning the user's smoking habit, it can help reduce the amount of nicotine and sessions until you stop smoking completely.
The device counts the number of sessions, the duration, the number of puffs, their strength, and the time gap between vaping sessions. All this data creates a personalized user profile and is synchronized with a user’s smartphone. Once the data is collected, the user will see the average number of puffs and nicotine consumption per day. The user can set their own nicotine level goals in the app and see the most suitable time to quit smoking.
The greatest innovation regarding AI in the vaping industry is the AI-powered technology that helps people quit smoking. Some people cannot get rid not only of their smoking habit but also of their nicotine addiction. They can also experience severe physical discomfort and the side effects of quitting smoking when abruptly quitting nicotine. Therefore, scientists have developed a solution for such people. The app will collect statistics, display them, and build a plan to reduce the amount of nicotine consumed. What makes this approach interesting is that the app takes into account each user's smoking habits individually.
There are American companies that have a different case of AI application.
Those companies provide schools with AI-assisted systems that notify teachers and administrators of suspected cases of vaping in toilets.
As for machine learning and artificial intelligence in vaping, it is not developing as quickly as in other areas. Many countries severely restrict the sale and use of vapes while in other countries they are completely banned. And these conditions change from time to time. Therefore, people do not invest many resources in research related to VapeTech. But people are now exploring ways to quit smoking permanently and machine learning models to determine how likely a particular teenager is to start smoking in the future.
The development of technology is impossible without sufficient research, and we know this well because we have clients who ask for such help.
Some problems may require solutions that can only be obtained by contacting experts who specialize in their field. Expertise takes time, so a specialist who constantly works in the same area will know more. Most importantly, such a specialist can offer unique solutions that would not occur to a person who has studied some topic superficially. Project and team leaders can effectively initiate, design, and execute projects based on accurate data and experience. The presence of experienced people on the project is of great importance in the future, when the project is released and greatly affects its quality.
The use of machine learning and artificial intelligence in the vaping industry is practically a free area that does not have a lot of solutions and inventions yet. If you have ideas on how to implement AI or ML in the vaping industry, we can conduct a feasibility study and collect and sort data on already existing information, projects, and patents. We can guarantee complete security and non-disclosure of data. If you have any questions or requests, please, contact us via the RFP page.