Develop a defect detection algorithm with tensorflow, improving the accuracy from 95% up to 98%. Design and improve the process of iteration of the defect detection model, updating per model from weekly to daily. Deploy defect detection algorithm with distributed system using Docekr and k8s, reducing the 30% number of computers used for the algorithm.