Business Card Scanner

Business Card Scanner

Just click a photo and in seconds using the inbuilt Optical Character Recognition engine the contact details will be in your Phone Book. The

Android, Artificial Intelligence

Description

Here’s how it works:

It uses Google’s Tesseract to built an Optical Character Recognition Engine inside the phone once installed, thus it works completely offline.

Then using Leptonica Image Processing and various other algorithms the image clicked is enhanced so as to best suite for the OCR purpose.

The engine then extracts the text which undergoes entity detection using Open Natural Language Processing(OpenNLP).

The entities are put under appropriate fields and the contact is saved in the phone directory along with the business card.

Using Parse as backend, Android Studio as IDE, stackoverflow as mentor I finally completed the app in 1 month time period.

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Links

Business Card Scanner

Medium atc

Anthony C. created project gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

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gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

Network Functions Virtualization ( NFV ) and Service Function Chaining ( SFC ) have moved from idea to POC to implementation stage . The challenge still remains to get bare metal performance from virtual machines . Resource Director Technology (RDT) from Intel is designed to bring in QoS to the virtual machine resources. gRPC from Google is a framework which could be used to design priority based services . This project integrates these technologies and creates a framework for more reliable and efficient services via gRPC enhanced with RDT.

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Ravi K. updated status

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Ravi K

Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.

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Timothy P. created project MR. Configurator Tool

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MR. Configurator Tool

This tool was designed to speed up calibration of your MR setup. This article explains how to use the tool and help you get the most out of your MR experiences. For VR users and streamers, making MR videos is a great way to show a different perspective to people who aren’t wearing a head-mounted display (HMD), while for VR developers, MR videos are a great way to create trailers and show a more comprehensive view of the VR experience.

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Makiko K. created project Smarter Wireless Power Transfer Technology

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Smarter Wireless Power Transfer Technology

Wireless Power Transfer Technology enables people charging devices without a physical connection to the battery source. There are two main methods: Magnetic Inductance and Magnetic Resonance.

Magnetic Inductance charges devices within proximity. Magnetic Resonance, in turn, can charge further.

This project is an early proposal to evaluate how the different possible variables can impact the efficiency of the system, i.e., how fast can the device be charged subject to the distance, for example, material, object collision, room temperature, etc impact on the efficiency of the device.

Subject to these variables, the AI component of this project seeks to create a "smart wireless power charger", which reading through sensors the various conditions of the environment suggest the optimal distance for energy charging and placement without compromising the comfort of the user.

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Aashiq J. updated status

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