Face Recognition Application using Offloading Computation over Google Cloud

In recent days, face recognition is considered as one of most intriguing innovations. The proposed research provides a high level security by utilizing face recognition because the pixel values of each individual’s face change. The proposed work uses Google Cloud to make a help record, and the proposed research work utilizes Open-Source Computer Vision Library (OpenCV), oauth2client, face reorganization, and gspread. These are the most commonly utilized modules. In the proposed work, first a VIRTUALENV named "face" has been developed. After the production of VIRTUALENV, the proposed work has actuated the environment, and the proposed work has utilized SPYDER IDE to execute the undertaking. The proposed work contains various modules named emailing.py, recognization.py, main.py, enroll.py, spreadsheets.py. These are the five modules that are utilized and further a .Json key has also been utilized. The proposed work has created another undertaking in the Google cloud, and after that, it made a help account after the formation of the administration account. It empowered the Google Drive API, and Google Sheets then downloaded the .Json document from the proposed work administration account and the email obtained from the administration account is utilized in Google Sheets to further share the information. The proposed work composes a code for an individual to enlist and, in the wake of selecting the individual, they need to enter their Gmail ID. Subsequent to entering the Gmail ID, it will consequently produce an OTP for the given Gmail, and it will get refreshed in Google sheets. Likewise, once the individual is enlisted, it can just run day by day to observe whether the individual is going to the course or not. Moreover, this research study has developed a mobile application to make it more convenient.