Image Recognition. Technology, Guidelines and TrendsCatchoom
Image Recognition has probably been one of the hottest topics throughout 2014 with announcements such as the launch of the Amazon FireFly app and several millions of VC capital and M&A in this space. Image recognition has the potential to become ubiquitous in our day-to-day interactions with real world objects that are connected with the digital world.
This talk will be divided in four topics. First, it will cover basic aspects of the technology: the different approaches, the type of objects that are recognized, and the limitations of each technique through demonstrations. Second, the audience will be guided through the steps required to embed an image recognition solution into an app or service. Third, a number of vendor solutions will be described to give hands on pointers for those willing to start integrating such solutions. Finally, the talk will discuss the future of image recognition in different fields.
You can watch the video of the presentation here: https://www.youtube.com/watch?v=ilbTvfchtQY
my student use ideas from my class on business models to develop a business model for Aurasma's Augmented Reality Product. WIth Aurasma's product, smart phone users can access data from magazines and other print media, thus providing them with additional information and magazines with a new source of revenues. These slides describe the value propositions, customer selections, and methods of value capture for the various firms involved with this form of augmented reality.
These slides use concepts from my (Jeff Funk) course on Business Models at National University of Singapore to analyze the business model of Augmented Reality for travel. Augmented reality superimposes information on top of our sensory data. One way to do AR is to use a smart phone’s camera to view a world with information superimposed on the smart phone’s display. For travel, nearby places of interest can be provides along with ratings, reviews directions, public transport, and other information on them. This information can be obtained from Google Earth and other sources. The slides describe the value proposition, method of value capture, customers, scope of activities, and method of strategic control for two startups involved with AR and travel.
Engaging your Mobile App Users using Azure Mobile EngagementRuhani Arora
Azure Mobile Engagement is a software-as-a-service (SaaS) user-engagement platform that provides data-driven insights into app usage, real-time user segmentation, and enables contextually-aware push notifications and in-app messaging.
User Acquisition Management (UA) is one of the most crucial parts of integrated app marketing efforts. App user acquisition is usually defined as an action of downloading and installing the mobile app through organic search, word of mouth, paid campaigns or referrals. While most companies in the mobile app marketing ecosystem usually concentrate on paid traffic campaigns, there are many more channels to consider when planning your user acquisition strategy.
Image Recognition. Technology, Guidelines and TrendsCatchoom
Image Recognition has probably been one of the hottest topics throughout 2014 with announcements such as the launch of the Amazon FireFly app and several millions of VC capital and M&A in this space. Image recognition has the potential to become ubiquitous in our day-to-day interactions with real world objects that are connected with the digital world.
This talk will be divided in four topics. First, it will cover basic aspects of the technology: the different approaches, the type of objects that are recognized, and the limitations of each technique through demonstrations. Second, the audience will be guided through the steps required to embed an image recognition solution into an app or service. Third, a number of vendor solutions will be described to give hands on pointers for those willing to start integrating such solutions. Finally, the talk will discuss the future of image recognition in different fields.
You can watch the video of the presentation here: https://www.youtube.com/watch?v=ilbTvfchtQY
my student use ideas from my class on business models to develop a business model for Aurasma's Augmented Reality Product. WIth Aurasma's product, smart phone users can access data from magazines and other print media, thus providing them with additional information and magazines with a new source of revenues. These slides describe the value propositions, customer selections, and methods of value capture for the various firms involved with this form of augmented reality.
These slides use concepts from my (Jeff Funk) course on Business Models at National University of Singapore to analyze the business model of Augmented Reality for travel. Augmented reality superimposes information on top of our sensory data. One way to do AR is to use a smart phone’s camera to view a world with information superimposed on the smart phone’s display. For travel, nearby places of interest can be provides along with ratings, reviews directions, public transport, and other information on them. This information can be obtained from Google Earth and other sources. The slides describe the value proposition, method of value capture, customers, scope of activities, and method of strategic control for two startups involved with AR and travel.
Engaging your Mobile App Users using Azure Mobile EngagementRuhani Arora
Azure Mobile Engagement is a software-as-a-service (SaaS) user-engagement platform that provides data-driven insights into app usage, real-time user segmentation, and enables contextually-aware push notifications and in-app messaging.
User Acquisition Management (UA) is one of the most crucial parts of integrated app marketing efforts. App user acquisition is usually defined as an action of downloading and installing the mobile app through organic search, word of mouth, paid campaigns or referrals. While most companies in the mobile app marketing ecosystem usually concentrate on paid traffic campaigns, there are many more channels to consider when planning your user acquisition strategy.
ROI positive User Acquisition for mobile gamesHanno Fichtner
This presentation outlines how mobile app/game developers can acquire new users on a profitable level.
First it gives an outline of how user acquisition has changed over the past two years.
Then it shows the process of buying traffic in a ROI positive way.
Lastly it summarizes the launch timeline to prepare for a successful app release.
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In this presentation, I tried to unleash every potential that mobile environment have. There are some "prediction" about future in mobile environment & apps too.
This presentation talks about Microsoft's Azure Mobile Engagement cloud offering and how it can be used to not only send targeted push notifications, but also see analytics from those push campaigns and gain insights
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Code Samples: https://github.com/nikolaiblackie/AKL2015CodeCam pAppServices/blob/master/README.md
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This is the ppt based on Ugmented reality triggered by Image recognition. In this we are telling that How the android app name(AURASMA) made by hp triggeres the AR. Just see the ppt you will get the idea about the augmented reality....
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ROI positive User Acquisition for mobile gamesHanno Fichtner
This presentation outlines how mobile app/game developers can acquire new users on a profitable level.
First it gives an outline of how user acquisition has changed over the past two years.
Then it shows the process of buying traffic in a ROI positive way.
Lastly it summarizes the launch timeline to prepare for a successful app release.
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With over a million apps on iOS and Android, the biggest problem that developers face is User Acquisition. A quick guide to help indi developers on user acquisition and the most cost-effective ways to do it
How to Use Push Notifications on Websites as a Growth ChannelAta Gur
Presentation at Growth Hacking Istanbul conference on November 7th, 2018 presented by Ata Gur, who is Co-Founder & CEO of Frizbit, explaining the best practices regarding the use of web push notifications.
With HD panoramic imagery and a bit of programming magic, WebWalk.it helps people recreate the experience of ‘walking’ through any real-life location. The walkthroughs can be embedded in websites, Facebook pages and even showcased through mobile applications. The company’s high profile client base includes Samsung, NorthWestern Memorial, the Marriott and Virgin America airlines.
In this presentation, I tried to unleash every potential that mobile environment have. There are some "prediction" about future in mobile environment & apps too.
This presentation talks about Microsoft's Azure Mobile Engagement cloud offering and how it can be used to not only send targeted push notifications, but also see analytics from those push campaigns and gain insights
8 Onboarding Tips to Get App Users HookedCleverTap
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Image recognition is a problem that clearly illustrates the advantages of machine learning over traditional programming approaches. In this deep dive, how to quickly get set up with TensorFlow on Ubuntu using containers will be shown. To be even more efficient, what is becoming known as transfer learning will be demonstrated. An existing image recognition model will be used rather than the time consuming approach of building one from scratch. Subsequently, this classifier model will be trained with an image dataset. And finally, the retrained model will be tested with new external images.
Code Camp Auckland 2015 - DEV1 Microsoft API Approaches 101Nikolai Blackie
Overview of how organisations can design, build, deploy and manage API's as well as engage API consumers utilising the current Microsoft Azure integration platform offerings. A 101 walk through of Azure API Management, Azure App Services and Team Foundation Server Online capabilities and how organisations can leverage these for cost effective and scalable API's
Code Samples: https://github.com/nikolaiblackie/AKL2015CodeCam pAppServices/blob/master/README.md
Custom Image Classifier with Visual Recognition: Building with Watson IBM Watson
In this Building with Watson presentation, learn how to train a classifier to identify images relevant to you and your company. View the on-demand version of the demonstration and listen to the Q&A with our Watson Vision engineers. http://www.ibm.com/watson/building-with-watson-webinar.html
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This is the ppt based on Ugmented reality triggered by Image recognition. In this we are telling that How the android app name(AURASMA) made by hp triggeres the AR. Just see the ppt you will get the idea about the augmented reality....
Machine Learning for Images - what's specific, various implementation of image recognition, what can be build using image recognition via machine learning. Image recognition frameworks, CNN, cuda-convnet2, coffee, torch7, theano, etc.
Slide for Multi Object Tracking by Md. Minhazul Haque, Rajshahi University of Engineering and Technology
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* Object Tracking
* Applications
* Methodology
* Implementation
* Experiment Result
* Performance Analysis
* Future Work
* References
Overview Of Video Object Tracking SystemEditor IJMTER
The goal of video object tracking system is segmenting a region of interest from a video
scene and keeping track of its motion, positioning and occlusion. There are the three steps of video
object tracking system those are object detection, object classification and object tracking. Object
detection is performed to check existence of objects in video. Then the detected object can be
classified in various categories on the basis on their shape, motion, color and texture. Object tracking
is performed using monitoring object changes. This paper we are going to take overview of different
object detection, object classification and object tracking techniques and also the comparison of
different techniques used for various stages of tracking.
This is a presentation I use to explain the new Microsoft to Partners. Where have we come from, what are the issues we have faced, what is our strategy going forward
Slide for Multi Object Tracking by Md. Minhazul Haque, Rajshahi University of Engineering and Technology
* Object
* Object Tracking
* Application
* Background Study
* How it works
* Multi-Object Tracking
* Solution
* Future Works
In this presentation we describe the formulation of the HMM model as consisting of states that are hidden that generate the observables. We introduce the 3 basic problems: Finding the probability of a sequence of observation given the model, the decoding problem of finding the hidden states given the observations and the model and the training problem of determining the model parameters that generate the given observations. We discuss the Forward, Backward, Viterbi and Forward-Backward algorithms.
Imago OCR: Open-source toolkit for chemical structure image recognitionMikhail Rybalkin
http://ggasoftware.com/opensource/imago
Presentation at the Symposium on 244th ACS National Meeting & Exposition.
Hunting for Hidden Treasures: Chemical Information in Patents and Other Documents
Applications of artificial intelligenceRamBabuKumar4
I have started this presentation by short explanation of what machine learning is.
Types of machine learning techniques.
Need for machine Learning.
Some Applications of Machine Learning
and Two Algorithm with example.
How to Test Computer Vision Apps like Google Lens and Google Photos.pdfpCloudy
Computer vision technology has made significant strides in recent years, powering innovative applications like Google Lens, CamScanner, Google Photos, etc
What is Computer Vision and How Does it Work.pdfSoftmaxAi
According to an artificial intelligence development company, there are many types of computer vision out of which the most common types of computer vision are object detection, image classification, pose estimation, semantic segmentation, image restoration, etc.
Deep Learning applications have successfully made headway in solving automatic recognition of patterns in data, which has surpassed the ability of human beings. Over the past few years, deep learning has successfully solved the limitations of numerous traditional machine-learning algorithms.
Here a few examples of how video annotation is used in computer vision to train a visual perception model using machine learning. Contact us for such annotation services https://www.annotationsupport.com
The power of Computer Vision for precise Object Detection and Tracking. Explore Technology for seamless visual analysis. Elevate your projects with Nexgits expertise.
The state of the art and how we applied it at Finnair. This presentation was held in Futurice Munich Beer & Tech event: Brave new world, AI applied. https://www.meetup.com/Munchen-Beer-Tech-Meetup/events/240575870/
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
3. TIPPING POINT
A quick note…
Computer vision is 1 of the 2 critical technologies that
will allow artificial intelligence empower our world in
ways we’ve only dreamed of.
(Computer speech is the 2nd)
5. THE PROBLEM
We live in a visual world, yet capturing useful
information from images has historically required
human vision — which can be slow and costly.
6. THE QUESTION
But if we could extract that useful information
through computer vision, it could provide invaluable
insight for our businesses.
7. THE SOLUTION
An intelligent visual recognition service that
automatically analyzes and identifies objects and
scenes in image files (video, etc.).
22. VIP TREATMENT
A top customer walks into your store.
The system instantly recognizes them, issues a
personalized greeting, and alerts an attendant.
And/or…
Allows you to track store visits just as we track web
visits in Google Analytics (faces vs. IP addresses).
26. ENDLESS USES
Manufacturing
● Ensure products are positioned correctly on an
assembly line
Visual auditing
● Monitor for compliance or deterioration in fleet of
trucks, planes, or windmills
● Train classifiers to understand what defects look
like
Insurance
● Rapidly process claims by classifying images of
claims
Social listening
● Track buzz about your company on social media
Security
● Monitor for activity, instantly classify objects as
threat or not
Social commerce
● Use an image of a foot dish to find out which
restaurant serves it and find reviews
● Use a travel photo to find vacation suggestions
based on similar experiences
● Use a house image to find similar homes that are
for sale
Retail
● Take a photo of a favorite outfit to find stores with
those clothes in stock or on sale
● Use a travel image to find retail suggestions in that
area
Education
● Create image-based applications to educate about
taxonomies
● Use pictures to find educational material on similar
subjects