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How to Build a Cloud Native Image Recognition Solution

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Conference Talks Courses Kubernetes Courses Image Recognition Courses NoSQL Databases Courses API Management Courses Serverless Functions Courses Cloud Native Computing Courses

Course Description

Overview

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Explore how to build a cloud-native image recognition solution in this 36-minute conference talk from KubeCon + CloudNativeCon Europe 2021. Learn about leveraging Fn Project, AutoML Natural Language Processing, and Kubernetes to enhance Optical Character Recognition (OCR) technology. Discover the process of creating a cutting-edge application that uses machine learning to recognize and extract information from documents without relying on pre-defined markers. Gain insights into creating and scaling serverless functions, utilizing Kubernetes, and implementing AutoML for document classification and field extraction. Follow along as the speakers demonstrate a real-world implementation tested at a Mexican bank, and understand how to store extracted information in a NoSQL database. Dive into topics such as Oracle Cloud Services, API Management, Oracle Functions, and Oracle Container Engine, while exploring the architecture and components of this innovative solution.

Syllabus

Introduction
The Use Case
Oracle Cloud Services
API Management
Oracle Functions
Oracle Container Engine
Connecting the Dots
The 7 Steps
Components from Oracle
Architecture
Demo
API Result
Conclusion


Taught by

CNCF [Cloud Native Computing Foundation]

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