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Input, Processing and Output (IPO) of Massive Metadata from Image Recognition - Iuri de Araujo Sampaio, Qonteo

Back in 2020, Qonteo was founded. A startup initiative specialized in biometric technologies, Image processing and Data analytics. In a period of 3 month, Qonteo started to receive a quite a few requests to demonstrate and pilot its solutions, and a decision had to be made about software design, architecture and infrastructure to support our ideas, spending the minimal resources (in a minimalist approach), keeping costs low while we could escalate demos through multiple clients in order to catalyze their business revenue. From Legacy to Reactive Application Modernization, this lecture involves Reactive Computing at the edge, streaming machine learning, and deep learning algorithms, new trends in image recognition, processing and data presentation, serverless/Cloud architecture and use cases in which reactive principles are applied. AS well as Systems Fundamentals and programing in different layers and levels of abstraction. There will be presented a real time demo, with the whole chain of software engineering involved, such as backend, front end and middleware integration and their programing stacks.