Image Recognition. Technology, Guidelines and Trends

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Image Recognition Technology, Guidelines and Trends David Marimon CEO & Co-founder [email protected] +34 654 906 753

Transcript of Image Recognition. Technology, Guidelines and Trends

Image RecognitionTechnology, Guidelines and Trends

David MarimonCEO & Co-founder

[email protected]+34 654 906 753

The visual recognition market is estimated to grow

from $9.65 billion in 2014

to $25.65 billion by 2019

According to Image Recognition Market, Markets and Markets, May 2014

Image Recognition

Face Recognition

Object Classification

Object Character Recognition

Visual Recognition

Augmented Reality and Image Recognition,

the happy couple

Outline

What works with image recognition

How to put image recognition into your app

Vendor comparison

Trends

Outline

What works with image recognition

How to put image recognition into your app

Vendor comparison

Trends

How does the world look like for a machine?

Textured Textureless

Transparent

Deformable Rigid

What’s possible with Image Recognition?

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Transparent

Deformable Rigid

Outline

What objects work with image recognition

How to put image recognition into your app

Vendor comparison

Trends

What do you need to build an app?

Content

On-device or Cloud Image Recognition

Image database

Curate the Image Database

Choose the IR mode that fits best

Cloud Service On-Device SDK

Choose the IR mode that fits best

Cloud Service On-Device SDK

IR requires Internet

Yes No

IR speed Depends on network Controlled

Content updates Immediate Require local sync

Analytics Latest availableRely on app connection

Outline

What works with image recognition

How to put image recognition into your app

Vendor comparison

Trends

Cloud Service On-Device SDK

Vendors in the AR space

ServiceOn

PremisesOn-

Device

Vendors in the IR space

Why my favorite is Catchoom

Real World-tested

Built for usability

Fast, accurate, reliable

Scalable

Catchoom has delivered

over 420 million

image recognitions to date

Outline

Image recognition: approaches and limitations

How to put image recognition into your app

Vendor comparison

Trends

Extended Search

On-Device SDK Cloud Service

Industrial Applications

Apparel recognition

Takeaways

1. Image recognition is the door to a broad range of

applications and services

2. Improve performance with better image databases

3. Choose on-device or cloud IR depending on your use

case.

4. Catchoom is already behind 420M interactions and

looking to meet upcoming trends

Image RecognitionTechnology, Guidelines and Trends

David MarimonCEO & Co-founder

[email protected]+34 654 906 753

Visit our boothfor live demos!

Annex

Image Recognition vsObject Classification

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Image Recognition

Object Classification

Challenges with benchmarks

Label a database with both reference and test images

Identify infrastructure differences

Understand performance is not necessarily optimized for your use case

How to benchmark

Small dataset Full test

1.Contact the vendor 1.Contact the vendor2.Label your database3.Use APIs