SlideShare uma empresa Scribd logo
1 de 12
Filterless Color Imaging Sensor


  Presented by Thomas Martinuzzo
  Project Leader, Sciences and Engineering
  thomas.martinuzzo@univalor.ca
Overview

 An New Imaging Sensor f M M k A li i
 AN I       iS         for Mass Market Applications 

  Seeking Partnerships in Development and Market Deployment
                       in Development and Market

  Market : $6b by 2014

  Inventor: Pr. Yves Audet, École Polytechnique de Montreal

  Intellectual Property: PCT (entered in US, JP, UK)+ 2 new USPR 
underway on improvements
           on improvements
”Image Sensor 101”
                                         ”I     S      101”

       An Image Sensor converts a visual i
       AI       S                  i l image into an electric signal
                                             i        l    ii      l

+ Very Good Quality
+ Very Good Quality Image                                                 + Cheap
                                                                          + Cheap
                                     Image Sensors
‐ Very expensive                                                          + Small
‐ Energy                                                                  + Energy
                                                                          ‐ Resolution
                                                                          ‐ Sensitiviy
                 CCD Image Sensors                   CMOS Image Sensors



                 Digital      Mobile                                 Vision      Medical
 Camcorders                              Automatives     Robotics
                Cameras     Phones PDA                              Machine      Imaging
                                                                                    gg
The Art of Color
                         The Art of Color Detection

       Filters are deposited on top of the sensor array
                  according to the Bayer pattern.
pixels with filter   sensor array


                               G: Green color detecting pixels
                               for luminance (brightness) signal 


                               R, B: Red and Blue color
                               R B: Red and Blue color detecting
                               pixels for chrominance (color) signal 
What about a sensor that
                      about a sensor that…



is as sensitive as CCD
                   CCD,

is as compact, low power consuming and low cost
      compact
as CMOS,

does not require filters to detect color images.
Our Technology


The filterless color i
Th fil l         l image sensor relies on the well‐known
                                  li       h     ll k
  principle of wavelength penetration into solids (silicon). 


                    light ray
silicon surface
 ili       f
                                            λ(red) = 650 nm

                                         λ(green) = 530 nm

                                           λ(blue) = 470 nm
The Art of Color
                                 The Art of Color Detection


                               red + green + blue
                                                                        z
                                               red + blue
                                                            rouge
                                                                                     y
                          light ray
                                                                                         x
                                           P+ electrodes
                                           P+ electrodes



                                                                            N well
                                                                            N‐well
                      E
                                                                    B
electron‐hole pairs
electron‐hole pairs
                                            P‐ substrat
Value Proposition
                          Value Proposition

An Imaging Sensor C bi i Ad
AI      iS          Combining Advantages of CMOS and CCD 
                                          f CMOS d CCD
Sensors
 • Small
   Small 
 • Low Cost
 • High resolution
   High resolution
 • High Sensitivity
 • Low Power Consumption
                      p

 4 Mpixels sensor for the size of a current 
2Mpixels sensor found in your cellular phone
Summary

 Simple Idea
 Si l Id

 Developed Within Academic Institution

 Researchers With Industry Experience

 Through Boostrapping Financing

 Core IP

 Various Market Segments

Looking For Partnerships in Development and Market Deployment
Filterless Color Imaging Sensor
                        Imaging Sensor




     Thomas Martinuzzo
thomas.martinuzzo@univalor.ca
        Booth # 402
Intellectual Property
• PCT/CA2007/000997 « Color Image Sensor » 
      /        /            l
  claiming priority on US60/811,435 07.06.2006
  – Positive ISR
  – Positive Written Opinion
                      p

• Entered into US Japan and England (Canada is
               US, Japan and England (Canada is
  possible up to Dec. 09)

• 2 US provisional underway on improvments
The Art of Color Detection


Actual color image detection 
     ll            d                     Our innovation: One pixel, three 
                                                                  lh
concept: The Bayer pattern               colors and no filtering 




Optical filter transmission could be as low as 30% in the case of 
O i l fil            ii        ld b     l      30% i h          f
the blue color

Mais conteúdo relacionado

Destaque

정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 " 씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산
정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 "  씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 "  씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산
정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 " 씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산fdsx cvxx
 
For og ettertest_sok_4_trinn_nn
For og ettertest_sok_4_trinn_nnFor og ettertest_sok_4_trinn_nn
For og ettertest_sok_4_trinn_nniktplan
 
Definicion de error
Definicion de errorDefinicion de error
Definicion de errorTensor
 
The Pacific Research Platform:a Science-Driven Big-Data Freeway System
The Pacific Research Platform:a Science-Driven Big-Data Freeway SystemThe Pacific Research Platform:a Science-Driven Big-Data Freeway System
The Pacific Research Platform:a Science-Driven Big-Data Freeway SystemLarry Smarr
 
Método de jacobi
Método de jacobiMétodo de jacobi
Método de jacobiTensor
 
Lærarressurs epost nn
Lærarressurs epost nnLærarressurs epost nn
Lærarressurs epost nniktplan
 
BIS2C. Biodiversity and the Tree of Life. 2014. L15. Fungi
BIS2C. Biodiversity and the Tree of Life. 2014. L15. FungiBIS2C. Biodiversity and the Tree of Life. 2014. L15. Fungi
BIS2C. Biodiversity and the Tree of Life. 2014. L15. FungiJonathan Eisen
 
BIS2C. Biodiversity and the Tree of Life. 2014. L35. Symbioses
BIS2C. Biodiversity and the Tree of Life. 2014. L35. SymbiosesBIS2C. Biodiversity and the Tree of Life. 2014. L35. Symbioses
BIS2C. Biodiversity and the Tree of Life. 2014. L35. SymbiosesJonathan Eisen
 
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups.
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups. BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups.
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups. Jonathan Eisen
 
Sekuentzia Didaktikoa: Iragarkia
Sekuentzia Didaktikoa: IragarkiaSekuentzia Didaktikoa: Iragarkia
Sekuentzia Didaktikoa: IragarkiaPazosAyo
 
For og ettertest_epost_4_trinn_nn
For og ettertest_epost_4_trinn_nnFor og ettertest_epost_4_trinn_nn
For og ettertest_epost_4_trinn_nniktplan
 
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.Jonathan Eisen
 
Nyhet 7 trinn kommunikasjon
Nyhet 7 trinn kommunikasjonNyhet 7 trinn kommunikasjon
Nyhet 7 trinn kommunikasjoniktplan
 
Dynamics of Your Gut Microbiome in Health and Disease
Dynamics of Your Gut Microbiome in Health and DiseaseDynamics of Your Gut Microbiome in Health and Disease
Dynamics of Your Gut Microbiome in Health and DiseaseLarry Smarr
 
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...CA Technologies
 

Destaque (17)

정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 " 씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산
정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 "  씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 "  씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산
정품 씨알리스◇ w5.ow.to ◇ 톡 w2015 " 씨알리스 구매, 정품 씨알리스 판매처, 정품씨알리스 복제약, 씨알리스 국산
 
For og ettertest_sok_4_trinn_nn
For og ettertest_sok_4_trinn_nnFor og ettertest_sok_4_trinn_nn
For og ettertest_sok_4_trinn_nn
 
Definicion de error
Definicion de errorDefinicion de error
Definicion de error
 
Lesotho presentation 30th oct 2014
Lesotho  presentation 30th oct 2014Lesotho  presentation 30th oct 2014
Lesotho presentation 30th oct 2014
 
The Pacific Research Platform:a Science-Driven Big-Data Freeway System
The Pacific Research Platform:a Science-Driven Big-Data Freeway SystemThe Pacific Research Platform:a Science-Driven Big-Data Freeway System
The Pacific Research Platform:a Science-Driven Big-Data Freeway System
 
Método de jacobi
Método de jacobiMétodo de jacobi
Método de jacobi
 
Lærarressurs epost nn
Lærarressurs epost nnLærarressurs epost nn
Lærarressurs epost nn
 
BIS2C. Biodiversity and the Tree of Life. 2014. L15. Fungi
BIS2C. Biodiversity and the Tree of Life. 2014. L15. FungiBIS2C. Biodiversity and the Tree of Life. 2014. L15. Fungi
BIS2C. Biodiversity and the Tree of Life. 2014. L15. Fungi
 
BIS2C. Biodiversity and the Tree of Life. 2014. L35. Symbioses
BIS2C. Biodiversity and the Tree of Life. 2014. L35. SymbiosesBIS2C. Biodiversity and the Tree of Life. 2014. L35. Symbioses
BIS2C. Biodiversity and the Tree of Life. 2014. L35. Symbioses
 
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups.
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups. BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups.
BIS2C. Biodiversity and the Tree of Life. 2014. L2. Trees, taxa and groups.
 
Sekuentzia Didaktikoa: Iragarkia
Sekuentzia Didaktikoa: IragarkiaSekuentzia Didaktikoa: Iragarkia
Sekuentzia Didaktikoa: Iragarkia
 
For og ettertest_epost_4_trinn_nn
For og ettertest_epost_4_trinn_nnFor og ettertest_epost_4_trinn_nn
For og ettertest_epost_4_trinn_nn
 
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.
BIS2C. Biodiversity and the Tree of Life. 2014. L5. The Tree of Life.
 
Nyhet 7 trinn kommunikasjon
Nyhet 7 trinn kommunikasjonNyhet 7 trinn kommunikasjon
Nyhet 7 trinn kommunikasjon
 
Dynamics of Your Gut Microbiome in Health and Disease
Dynamics of Your Gut Microbiome in Health and DiseaseDynamics of Your Gut Microbiome in Health and Disease
Dynamics of Your Gut Microbiome in Health and Disease
 
Water In Hindi
Water In HindiWater In Hindi
Water In Hindi
 
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...
Pre-Con Education: Migrating to CA Release Automation 5.5.2 to Exploit New ...
 

Semelhante a Filterless Corlor Imaging Sensor

Semelhante a Filterless Corlor Imaging Sensor (7)

Eldim
EldimEldim
Eldim
 
Color Target Comparator by ACMAS Technologies Pvt Ltd.
Color Target Comparator by ACMAS Technologies Pvt Ltd.Color Target Comparator by ACMAS Technologies Pvt Ltd.
Color Target Comparator by ACMAS Technologies Pvt Ltd.
 
Digital Image Processing
Digital Image ProcessingDigital Image Processing
Digital Image Processing
 
Digitalradiography
Digitalradiography Digitalradiography
Digitalradiography
 
Digital Radiography
Digital RadiographyDigital Radiography
Digital Radiography
 
Introduction to Color Science for display engineer
Introduction to Color Science for display engineerIntroduction to Color Science for display engineer
Introduction to Color Science for display engineer
 
Analyzing color imaging failure on consumer-grade cameras
Analyzing color imaging failure on consumer-grade camerasAnalyzing color imaging failure on consumer-grade cameras
Analyzing color imaging failure on consumer-grade cameras
 

Mais de ThomasUnivalor

Sciences engineering portfolio (2010 08 05)
Sciences  engineering portfolio (2010 08 05)Sciences  engineering portfolio (2010 08 05)
Sciences engineering portfolio (2010 08 05)ThomasUnivalor
 
Filterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorFilterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorThomasUnivalor
 
Filterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorFilterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorThomasUnivalor
 
Visual Cortical Implant
Visual Cortical ImplantVisual Cortical Implant
Visual Cortical ImplantThomasUnivalor
 
Position-Location in Mobile Networks Using a Single Base Station
Position-Location in Mobile Networks Using a Single Base StationPosition-Location in Mobile Networks Using a Single Base Station
Position-Location in Mobile Networks Using a Single Base StationThomasUnivalor
 
Deep Information and Extraction Tool
Deep Information and Extraction ToolDeep Information and Extraction Tool
Deep Information and Extraction ToolThomasUnivalor
 
Anti Counterfeiting Filters
Anti Counterfeiting FiltersAnti Counterfeiting Filters
Anti Counterfeiting FiltersThomasUnivalor
 

Mais de ThomasUnivalor (16)

Sciences engineering portfolio (2010 08 05)
Sciences  engineering portfolio (2010 08 05)Sciences  engineering portfolio (2010 08 05)
Sciences engineering portfolio (2010 08 05)
 
Image Interpolation
Image InterpolationImage Interpolation
Image Interpolation
 
Direct Writing
Direct WritingDirect Writing
Direct Writing
 
Color Changing Fibers
Color Changing FibersColor Changing Fibers
Color Changing Fibers
 
The Mr Sub Technology
The Mr Sub TechnologyThe Mr Sub Technology
The Mr Sub Technology
 
Filterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorFilterless Corlor Imaging Sensor
Filterless Corlor Imaging Sensor
 
Filterless Corlor Imaging Sensor
Filterless Corlor Imaging SensorFilterless Corlor Imaging Sensor
Filterless Corlor Imaging Sensor
 
Visual Cortical Implant
Visual Cortical ImplantVisual Cortical Implant
Visual Cortical Implant
 
Spasticity
SpasticitySpasticity
Spasticity
 
Phantoms
PhantomsPhantoms
Phantoms
 
Sterilization
SterilizationSterilization
Sterilization
 
60 GHz Antenna
60 GHz Antenna60 GHz Antenna
60 GHz Antenna
 
Photonics West 2008
Photonics West 2008Photonics West 2008
Photonics West 2008
 
Position-Location in Mobile Networks Using a Single Base Station
Position-Location in Mobile Networks Using a Single Base StationPosition-Location in Mobile Networks Using a Single Base Station
Position-Location in Mobile Networks Using a Single Base Station
 
Deep Information and Extraction Tool
Deep Information and Extraction ToolDeep Information and Extraction Tool
Deep Information and Extraction Tool
 
Anti Counterfeiting Filters
Anti Counterfeiting FiltersAnti Counterfeiting Filters
Anti Counterfeiting Filters
 

Último

Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 

Último (20)

Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 

Filterless Corlor Imaging Sensor

  • 1. Filterless Color Imaging Sensor Presented by Thomas Martinuzzo Project Leader, Sciences and Engineering thomas.martinuzzo@univalor.ca
  • 2. Overview An New Imaging Sensor f M M k A li i AN I iS for Mass Market Applications  Seeking Partnerships in Development and Market Deployment in Development and Market Market : $6b by 2014 Inventor: Pr. Yves Audet, École Polytechnique de Montreal Intellectual Property: PCT (entered in US, JP, UK)+ 2 new USPR  underway on improvements on improvements
  • 3. ”Image Sensor 101” ”I S 101” An Image Sensor converts a visual i AI S i l image into an electric signal i l ii l + Very Good Quality + Very Good Quality Image + Cheap + Cheap Image Sensors ‐ Very expensive + Small ‐ Energy + Energy ‐ Resolution ‐ Sensitiviy CCD Image Sensors CMOS Image Sensors Digital  Mobile  Vision  Medical Camcorders Automatives Robotics Cameras Phones PDA Machine Imaging gg
  • 4. The Art of Color The Art of Color Detection Filters are deposited on top of the sensor array according to the Bayer pattern. pixels with filter sensor array G: Green color detecting pixels for luminance (brightness) signal  R, B: Red and Blue color R B: Red and Blue color detecting pixels for chrominance (color) signal 
  • 5. What about a sensor that about a sensor that… is as sensitive as CCD CCD, is as compact, low power consuming and low cost compact as CMOS, does not require filters to detect color images.
  • 6. Our Technology The filterless color i Th fil l l image sensor relies on the well‐known li h ll k principle of wavelength penetration into solids (silicon).  light ray silicon surface ili f λ(red) = 650 nm λ(green) = 530 nm λ(blue) = 470 nm
  • 7. The Art of Color The Art of Color Detection red + green + blue z red + blue rouge y light ray x P+ electrodes P+ electrodes N well N‐well E B electron‐hole pairs electron‐hole pairs P‐ substrat
  • 8. Value Proposition Value Proposition An Imaging Sensor C bi i Ad AI iS Combining Advantages of CMOS and CCD  f CMOS d CCD Sensors • Small Small  • Low Cost • High resolution High resolution • High Sensitivity • Low Power Consumption p 4 Mpixels sensor for the size of a current  2Mpixels sensor found in your cellular phone
  • 9. Summary Simple Idea Si l Id Developed Within Academic Institution Researchers With Industry Experience Through Boostrapping Financing Core IP Various Market Segments Looking For Partnerships in Development and Market Deployment
  • 10. Filterless Color Imaging Sensor Imaging Sensor Thomas Martinuzzo thomas.martinuzzo@univalor.ca Booth # 402
  • 11. Intellectual Property • PCT/CA2007/000997 « Color Image Sensor »  / / l claiming priority on US60/811,435 07.06.2006 – Positive ISR – Positive Written Opinion p • Entered into US Japan and England (Canada is US, Japan and England (Canada is possible up to Dec. 09) • 2 US provisional underway on improvments
  • 12. The Art of Color Detection Actual color image detection  ll d Our innovation: One pixel, three  lh concept: The Bayer pattern colors and no filtering  Optical filter transmission could be as low as 30% in the case of  O i l fil ii ld b l 30% i h f the blue color