This project consists of a serverless application (Lambdas) in AWS that uses facial recognition. The requirements are the use of: lambdas, buckets and a graphical interface that contains three doors with their proper indicators each.
When getting into the webpage, it should display three doors and the user then should click one of them. When pressing any of the three doors, the face of the person must be requested via webcam. In case the person is in the database of people authorized to open the door (The images will be stored in buckets. One bucket per door) then the door will open and will show a green indicator, if not, the door will not open and will show a red indicator.
~ They should be optimized and calculated in the CPU time and amount of memory they use.
~ Complete flow diagrams should be generated showing the "triggers", the ends of the outputs and the interaction between the different Lambdas.
-Instructions and codes to implement the functional project in an AWS account.
-Report in writing that includes the description of the project, diagrams, the architecture of the solution and the estimation of costs in the different stages of the project to be implemented.
The basic functionality is shown in the pictures inside the annex file.