Facial Recognition Smart Glasses Integrated with Weather Monitoring System

For the advantage of people who are blind or visually impaired, our research paper highlights the design and development of voice assistance and facial recognition smart glasses integrated with weather monitoring system using Raspberry Pi. Even when their known individual is silent, it aids in recognizing everyone nearby. Additionally, it has some great functions like playing music and web browsing. This concept simplifies their lives and serves as a virtual helper. This gadget has the ability to identify faces of individuals or objects that have already been inserted into our system. It uses our faces as an input and speaks as an output. It uses our visage as an input and produces speech as the output. It also helps user to recognize about the emotion of the people nearby means seeing the face expression of the people the user is able to understand the emotion of that person. Also this paper includes the weather related information that helps the user to know about weather, so if the weather is not good they will be alert. Using the Raspberry PI, an extremely potent system on a chip based on the ARM architecture, we can run our software (SOC). The Raspberry Pi has built-in graphics that it can use to perform graphical computations and run Python and C++ code. In this project, we used ESP32 camera web server, DTH11 tempure and humidity sensor, BMP108 pressure sensor , rain sensor, speaker as buzzer, Google Text-to-Speech, Ultrasonic sensor for object detection, and Raspberry Pi 4 for facial recognition. Our recommended system is superior, incredibly efficient, incredibly cheap, easy to use, and lightweight. Also for facial emmotion of the persong we have used the PCA i.e principle component analysis this is a statical approach used for reducing the no. of variables in face recognition.it helps to extract the most relevant information means feature that contains the image