BluePrintLab is providing face scan solution with AI technology.
Users are able to use their smarphone to scan their face then AI algorithm analyzes the face data and makes product recommendation. Users can do Virtual-Try-On for the recommended product whether the product fit or not. Also, our slotion allows that measuring each part of face without extra device.
How Computer Vision is reshaping the finance and insurance industryAddepto
Learn about the competitive advantages that Computer Vision provides financial and insurance companies in smoothing customer experience and increasing general performance.
Table of contents:
1. What is Computer Vision?
2. How Computer Vision differs from Image Processing?
3. What are the benefits of Computer Vision technology?
4. How does it improve FinTech and Insuretech operations?
5. Real-life implementation of Computer Vision in the financial industry
6. Addepto Case Studies
BluePrintLab is providing face scan solution with AI technology.
Users are able to use their smarphone to scan their face then AI algorithm analyzes the face data and makes product recommendation. Users can do Virtual-Try-On for the recommended product whether the product fit or not. Also, our slotion allows that measuring each part of face without extra device.
How Computer Vision is reshaping the finance and insurance industryAddepto
Learn about the competitive advantages that Computer Vision provides financial and insurance companies in smoothing customer experience and increasing general performance.
Table of contents:
1. What is Computer Vision?
2. How Computer Vision differs from Image Processing?
3. What are the benefits of Computer Vision technology?
4. How does it improve FinTech and Insuretech operations?
5. Real-life implementation of Computer Vision in the financial industry
6. Addepto Case Studies
How could OpenAI, a small organization of just 200 employees, managed to shake the foundations of large companies like Google and Meta? Everyone dreams about being a unicorn – having razor sharp focus, high talent-density , rapid speed of innovation but in reality, even startups end up becoming slow organizations very quickly. Why does this happen?
The Practical Evolution of the Auto-Tagging Technology as a ServiceImagga Technology
Georgi Kadrev - CEO at Imagga was talking about image recognition at Nvidia event on in Silicone Valley. Learn the latest developments in the industry as well as future technological focuses of the company.
Build Computer Vision Applications with Amazon RekognitionAmazon Web Services
Amazon Rekognition is a deep learning-based image and video analysis service that enables developers to integrate easy-to-use APIs into their applications. This session will walk through the Amazon Rekognition features, including object and scene detection, text-in-image extraction, celebrity recognition, content moderation, and more. Developers can quickly get started with this fully-managed service and start building computer vision applications such as a searchable media library, automated content moderation, an image-based alert system, and more.
Level: 200-300
Speaker: Binoy Das - Partner Solutions Architect, AWS
Build Computer Vision Applications with Amazon Rekognition: Machine Learning ...Amazon Web Services
Machine Learning Week at the San Francisco Loft: Build Computer Vision Applications with Amazon Rekognition
Build Computer Vision Applications with Amazon Rekognition
This hands-on workshop will walk through how to build a solution that listens and captures images from Twitter, and then compares those images against a reference image to automatically notify you about a new post featuring your favorite celebrity. Additionally, we will integrate sentiment analysis into this image-based automatic alert system in order to gauge whether the determined celebrities are happy, sad, etc. in the posted image.
Level: 200-300
Speaker: Niranjan Hira - Solutions Architect, Amazon Lex
Build Computer Vision Applications with Amazon RekognitionAmazon Web Services
Amazon Rekognition is a deep learning-based image and video analysis service that enables developers to integrate easy-to-use APIs into their applications. This session will walk through the Amazon Rekognition features, including object and scene detection, text-in-image extraction, celebrity recognition, content moderation, and more. Developers can quickly get started with this fully-managed service and start building computer vision applications such as a searchable media library, automated content moderation, an image-based alert system, and more.
Level: 200-300
Speaker: Liam Morrison - Principal Solutions Architect, AWS
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
Today’s digital marketers are inundated with customer data. We spend countless hours analyzing this data to better understand our consumers so we can reach them at the exact right moment. Let Bing take some of this work off of your plate and check out this presentation from Microsoft’s Itir Aloba-Curi and Angela Bahreyni. Originally presented at a Boston SEMPO event in November 2016, the presentation includes findings from Bing’s recent Consumer Decision Journey study and addresses the value of brand bidding.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
How could OpenAI, a small organization of just 200 employees, managed to shake the foundations of large companies like Google and Meta? Everyone dreams about being a unicorn – having razor sharp focus, high talent-density , rapid speed of innovation but in reality, even startups end up becoming slow organizations very quickly. Why does this happen?
The Practical Evolution of the Auto-Tagging Technology as a ServiceImagga Technology
Georgi Kadrev - CEO at Imagga was talking about image recognition at Nvidia event on in Silicone Valley. Learn the latest developments in the industry as well as future technological focuses of the company.
Build Computer Vision Applications with Amazon RekognitionAmazon Web Services
Amazon Rekognition is a deep learning-based image and video analysis service that enables developers to integrate easy-to-use APIs into their applications. This session will walk through the Amazon Rekognition features, including object and scene detection, text-in-image extraction, celebrity recognition, content moderation, and more. Developers can quickly get started with this fully-managed service and start building computer vision applications such as a searchable media library, automated content moderation, an image-based alert system, and more.
Level: 200-300
Speaker: Binoy Das - Partner Solutions Architect, AWS
Build Computer Vision Applications with Amazon Rekognition: Machine Learning ...Amazon Web Services
Machine Learning Week at the San Francisco Loft: Build Computer Vision Applications with Amazon Rekognition
Build Computer Vision Applications with Amazon Rekognition
This hands-on workshop will walk through how to build a solution that listens and captures images from Twitter, and then compares those images against a reference image to automatically notify you about a new post featuring your favorite celebrity. Additionally, we will integrate sentiment analysis into this image-based automatic alert system in order to gauge whether the determined celebrities are happy, sad, etc. in the posted image.
Level: 200-300
Speaker: Niranjan Hira - Solutions Architect, Amazon Lex
Build Computer Vision Applications with Amazon RekognitionAmazon Web Services
Amazon Rekognition is a deep learning-based image and video analysis service that enables developers to integrate easy-to-use APIs into their applications. This session will walk through the Amazon Rekognition features, including object and scene detection, text-in-image extraction, celebrity recognition, content moderation, and more. Developers can quickly get started with this fully-managed service and start building computer vision applications such as a searchable media library, automated content moderation, an image-based alert system, and more.
Level: 200-300
Speaker: Liam Morrison - Principal Solutions Architect, AWS
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
Today’s digital marketers are inundated with customer data. We spend countless hours analyzing this data to better understand our consumers so we can reach them at the exact right moment. Let Bing take some of this work off of your plate and check out this presentation from Microsoft’s Itir Aloba-Curi and Angela Bahreyni. Originally presented at a Boston SEMPO event in November 2016, the presentation includes findings from Bing’s recent Consumer Decision Journey study and addresses the value of brand bidding.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
5. BluePrintLAB
Market Size
Cost Analysis
Manufacturing Commision Marketing IT Others
48.2B
(28.6%)
23.6B
(14%)
16.8B
(10%)
72.4B
(42.9%)
Global $168.7B VS $1.5B in Korea
Regional Market Share
North America Europe Asia Others
59B
(35%)
33.7B
(20%)
25.3B
(15%)
50.6B
(30%)
Actual TargetMarket$40.4B
<Source: Transparency MarketResearchAnalysis,2017>
7. • Size matching
between face
and eyewear
• Real time, 3D
Virtual Try-on
Faster & accurate
Virtual fitting service
Competitive landscape
Distance error range:
About 0.5mm
10. CEO
CTO
UI/UX Design
Marketing
Business & IT
IOS
Development
Infrastructure
Big Data & AI
3D Modeling
David
Lee
Charlie
Shin
Jaeseob
Hwang
James
Park
Vu nam
Khanh
Jihye
Kim
Sangmo
Koo
Nahyun
Bae
Arim
Moon
Jinston
Chung
- Software engineering major
- Intranet solution development for Ministry of National Defense
- Glendale Community College
- Face recognition API development
- Software engineering major
- Back-End
- MBA with Big Data Analytics
- AI algorithm development
- Yonsei University, Master’s degree in computer science
- Network Science, Graphic Theory specialist
- Mobile design
- Fashion accessory major
- 3D modeling, rendering
- Large DB management,Big Date analysis(Onse Telecom)
- MBA at University of Delaware
- Former CEO of NVIDIA Korea
- Former CEO of Broadcom Korea
- Korea university, International marketing
- Marketing, sales and market researchMarketing
Tech
Design
Advisory
Alan
Malaki
- Director of Strategic Management at Cisco
- EIRs at Plug and Play
Yerang
Yoon
- Web design
Team
11. Call to action
• Eyewear companies
• Local retailers
• Online retailers
Looking for
Funding
$0.5 – 1M
(Raised $1M)
Looking for
Partners
BluePrintLAB
• Hiring qualified people
• Marketing
• Business development
12. BluePrintLab
To offer the most effective tool to open a
whole new world in vision
2019copyrightBluePrintLAB
www.blueprint-lab.com
charlie@blueprint-lab.com
13. • Facial Scanning • Data analysis
• AI algorithm • Virtual try-on
• 3D Vector Data
• 2D Face Image Data
• 3D Vector data analysis– Recognizing eye, nose,
mouth
• 2D Face image data – Analyzing skin color, skin
condition
• Product recommendation based on User’s data • Realistic AR fitting service
Abilities
22. BluePrintLAB
• 2019 TIPS Program(Supported by Korean government for R&D)
• 2019 Shinhan Finance Group, future’s lab batch 5
• 2019 Woori Finance Group, Dino Lab batch 1
• 2018 NVIDIA Inception Program(Deep learning development support)
• 2018 KIC Silicon Valley, TRT Program(with Facebook)
• 2018 Vienna Startup Package Program & Pioneer Festival in Austria
• 2018 KIC Silicon Valley, Soaring2 Program(with GSVlabs) in Silicon Valley
• 2018 Seoul Startup Hub, Post-BI Startup
• 2018 ERA Accelerating program in New York
• 2017 Selected by Ministry of Science and ICT as a K-Global 300 Startups
• 2017 KIC Silicon Valley, Soaring1 Program(with Plug and Play) in Silicon Valley
• 2017 KODIT, NEST Program
• 2017 Seedstars Seoul Top 8
• 2017 MIDAS, Startup Competition Bronze Medal
• 2017 Seoul Business Agency, accelerating program batch 1
• 2017 Seoul Center for Creative Economy and Innovation
• 2016 Leading Universities for Startup Program
• 2016 KIC Silicon Valley, Nesting Program in Silicon Valley
• 2015 NIPA, Startup Engine
• 2015 Seoul City, Challenge 1000 Startup
History