Image and Video Recognition using Machine Learning
Success Story: Big Data & Analytics
About Aguas Araucanía
Aguas Araucanía delivers sanitary services, contributing to improve the life quality of the clients, continually improving the processes, with the participation of the collaborators and under compliance of the Integrated Management System for Quality, Environment, and Safety and Occupational Health.
Voice of the Customer
For the first line management at Aguas Araucanía it has been the best and most efficient model to deliver solutions to our clients, at the most convenient costs.
The attitude and quality of the staff from Morris & Opazo has allowed us to execute projects with high quality for the final product, development standards focused on the processes and problems of our organization. Custom solutions have been an answer to the processes where commercial solutions have not.
Fernando Javier Valdés Álvarez, Corporate Systems Submanager.
The problem
The opportunity at this stage is to introduce new technologies that allow improving the different channels of communication with the client. In this particular case, through the analysis of images and videos.
Proposed solution
Our solution consists in the implementation of a Big Data workflow for the collection, storage, processing and consumption / visualization of data that allows, through the use of artificial intelligence technologies, the extraction of the metadata of the images and videos.
The benefits
Innovation
Reliability, agility, scalability, and performance required by their changing businesses.
Flexibility
On-demand infrastructure that allows rapid experimentation and iteration.
Agility
Reliability, agility, scalability, and performance required by their changing businesses.
Technology Stack
Amazon S3
Amazon Cognito
Amazon API Gateway
AWS Lambda
AWS Step Functions
Amazon Rekognition
Amazon Transcribe
Amazon Comprehend
Amazon Elasticsearch
Outcome(s)
The implemented solution delivers a very powerful platform to store and process images and video, achieving results that deliver great value to the business by analyzing and extracting metadata from the source material, and making this valuable information available to business processes that benefit from it.
