A new way of Smart Home Security using ML Face Recognition
Divya Paikaray, Swapnil Maheshkumar Parikh · 2022
The purpose of this study is to investigate machine learning (ML), a subfield of artificial intelligence (AI) that makes it possible for software developers to begin improving prediction even before they have completed all of the processes required to achieve this goal. Residential door locking mechanisms can now be secured with face recognition technology, which is a simple and user-friendly tool that effectively recognizes the features of homeowners. A computer vision algorithm easy to construct, highly accurate at recognizing faces, and widely used is the outcome of advances in facial recognition technology. How quickly does your suggestion system change in response to customer reviews or exposure to new products, and how do suggestions change as customers use the platform more frequently? There are many variations of each type of recommendation system, which helps us understand their capabilities better.