Object detection with Turi Create and augmentation using ARKit

Introduction

Over the past few years, the use of Machine Learning to solve complex problems has been increasing. Machine learning (ML) is a field of computer science that gives computer systems the ability to “learn” (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.

Last year was a good year for the freedom of information, as titans of the industry Google, Microsoft, Facebook, Amazon, Apple and even Baidu open-sourced their ML frameworks. In this blog, let’s explore a framework provided by Apple named Turi Create. Continue reading

Creating time-based index in Elasticsearch using NEST (.NET clients for Elasticsearch)

Introduction

One of the most common use cases in Elasticsearch is to create time-based indexes for logs. In this blog, we will see how to create time-based index on run time using NEST (.NET clients for Elastic search).

When it comes to logging, we usually create a log file everyday to isolate the logs and get only the ones relevant for analysis, when required. If we store the logs in a relational database, we commonly have one table. With time, the entries on this table grow and to check the number of records on table, we usually delete the old records from the table at specific interval. Continue reading

OCR implementation in Android

What is OCR?

Optical character recognition, Optical character reader or OCR is the process of reading printed or handwritten text and converting them into machine-encoded text. OCR is mainly used in the field of artificial intelligence, pattern recognition, and computer vision.

So how does it work? In simple words, for a computer, an image is nothing but a collection of pixels. In OCR processing, the image is scanned for light and dark areas to identify each character.  Continue reading