Smart Lock System using IoT, Embedded & Machine Learning

Many studies have indicated that due to the inadequacy of proper protection systems, malicious parties could easily breach the household security systems. The issue with all of these security systems is that they allow the use of weak passwords most of them required only six alphanumeric character passwords with no auto-lock function after a number of failed authentication attempts.The overall purpose of this research is to build a smart lock system using the IoT , embedded systems and machine learning, which secures all entrances in the house by a facial recognition system. The device has been constructed based on Raspberry-pi 4 to render the home only accessible to the registered members in the system. We aim to curtail the number of burglaries in households providing a safe place for people. The idea behind the device is safeguard the house against intrusions, burglary. This system is designed to enhance the protection of homes , with the help of this device, we will be able to make residences more secure.