SlideShare a Scribd company logo
1 of 35
Download to read offline
VIDEO AND IMAGE ANALYTICS:
A KEY PART OF AN ANALYTICS STRATEGY
Mike Furst, Director, Video and Image Analytics Lab, PARC
PARC IS AN INNOVATION PARTNER
2
Breakthrough innovation: from problem to prototype
Ideation — novel and customized technological solutions
Visioning and roadmapping — how to get there from here?
Tech creation and development — deep expertise & ongoing research
45 Years of The Business of Breakthroughs®
PARC
TODAY
Six
INNOVATION
FOCUS
AREAS
1
2
3 DIGITAL
MANUFACTURING
4
PRINTED ELECTRONICS
5
META MATERIALS
VIDEO ANALYTICS6
DATA ANALYTICS
CONTENT CENTRIC
NETWORKING
1
3
2
TODAY’S GOALS
VIDEO & IMAGE
ANALYTICS
5
Video and Images: The Other Big Data
Getting Started
Innovation Examples: The Right tools for the job
6
BIG DATA AND ANALYTICS ARE TRANSFORMING THE WAY
THE WORLD WORKS
TransportationRetailHealthcare
SecurityEducationManufacturing
PARC | 7
VIDEO AND IMAGES – “THE OTHER BIG DATA”
Your activity
What you
buy
Who you like
How you
perform
How you get
there
What motivates
you?
What you
consume
Structured
Specific
Transaction
Computational
What you
considered
What you (and they) saw
Your surroundingsWho was nearby
Rich in content
Flexible
Existing?
…and growing @ incredible rates
Video
TAXONOMY OF CAPABILITIES IN VIDEO ANALYTICS
PARC | 8
Rare Event Detection/ Identification:Tracking / Timing / Scene Analysis:
Video parking /
Que timing
In-store item and
people tracking
Vandalism /
People + Actions
Unexpected driving Event-driven Video
Compression
Monocular speed
estimation
Anomaly detection
with single and
multiple objects and
trajectories
Object Detection/ Identification: Event Detection/ Identification:
Industry Leading
License Plate
Recognition
Red Light ViolationParking Occupancy
Biometrics
Vehicle and
Occupancy
People in Scenes
Signal Extraction:
Visually Assessed
Disease Screening
& fine motion extraction
Heart rate &
HR Variability
Fundamentals
Scene Analysis
People Monitoring and First-person Vision Surveillance → Interpretation
Operational
analytics
Process Analytics
Driver Gaze
Monitoring
Expression and
Emotion
Classifying Group
BehaviorStress Monitoring Wearable-assisted
Process Automation
People &
Behavior
Analysis
Semantic Understanding of People and Scenes
VIDEO AND IMAGES FROM “3+1 PERSPECTIVES” ARE
OPTIONS TO BE CONSIDERED
Xerox Confidential9
Fixed
Mobile
1st
Person
Scale
(1-N)
Mobile
3rd
Person
Surveillance
Fixed 3rd Person
Wearable and
Passive 1st person
Handheld or Mounted
Active 3rd person
TECHNICAL LANDSCAPE TO BE NAVIGATED
Technology and Architectural Options
• Suitability and customization of computer vision and analytics
algorithms
• Capture, storage, processing (distributed <–> centralized)
Working “in the wild”
• Performance in non-laboratory conditions
Accuracy Required
• 6σ Accuracy?
• Fully-automated or collaborative with “human-in-the-loop”
Real-time?
• Action to be taken: in the moment, in the minute, later today, this
month
10
ENGAGE WITH PARC FOR VIDEO ANALYTICS
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
11
Workshop
1
3
2
TODAY’S GOALS
VIDEO & IMAGE
ANALYTICS
12
Video and Images: The Other Big Data
Getting Started
Innovation Examples: The Right tools for the job
EXAMPLES WILL SPAN FROM CONCEPT TO TRANSFER
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
13
Workshop
TRANSPORTATION : EXAMPLE CLIENT ENGAGEMENTS
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
14
Workshop
TRANSPORTATION:
VIDEO ANALYTICS ADDRESS MARKET NEEDS
Efficiency Safety & Security Predictability
Operations
Inspection
Usage Tracking
Situational Awareness
Accident Prevention
Asset Protection
Flow / Mobility
Parking
Public Transport
CONGESTION: IMPROVE TRAFFIC FLOW
16
Current State:
• Tolling increasingly relied on to support highway systems
• Booths impede traffic flow / Transponders require distributed infrastructure
Desired State:
• All video tolling with no lost revenue AND no false violations
PARC | 16
PARC | 17
Approach:
• Incorporating plate rules enhances performance
• Synthetic training data speeds scaling and adaptation
• Leverage “human-in-the-loop” to reach performance
• Design in feedback for ongoing improvement
Bala et al., SPIE-EI 2012
Challenges:
• Hundreds of plate designs with yearly expansion
• Environmental conditions
• Accuracy required
EXAMPLE: IMPROVE TRAFFIC FLOW
WITH IMAGE-BASED LICENSE PLATE RECOGNITION
Result:
• State-of-the-art performance
• Millions of plate / month
CONGESTION: EFFECTIVE MANAGED LANES CAN IMPROVE
OVERALL TRAFFIC FLOW
Traffic Congestion:
• $87B/yr Wasted Time & Fuel
• Green House Gas Emissions
• $$ to build out new Roadway
HOV: “High Occupancy Vehicle” Lanes
HOT: “High Occupancy Tolling”
• Vehicle Occupancy Detection
• License Plate Recognition
• Dynamic Incentive Pricing
Agency Response
PARC | 18
HOV lane in Toronto,
Canada (Hwy 404)
Road congestion near
Ontario, Canada (Hwy 401)
Current State
PARC | 19
EXAMPLE: EFFECTIVE HIGH-OCCUPANCY VEHICLE SYSTEMS
Approach:
• Customized combination of technologies
• Simplify design with a priori knowledge
• Classification vs. face detection
Challenges:
• Lighting and environmental conditions
• Passenger compartment illumination
• Variation in passenger pose and obstructions
• Variation in vehicle make / model
• Accuracy required in near real-time
Result:
• First operationally effective system at required
accuracy and yield
• New market for client and industry
RETAIL: EXAMPLE CLIENT ENGAGEMENTS
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
20
Workshop
RETAIL:
VIDEO ANALYTICS ADDRESSES MARKET NEEDS
Operational Effectiveness
Right Info at Right Time at
Right Place
Connecting “Clicks” and
“Bricks”
21
Complete Guest Picture
Guest Experience Management
Guest Interactions
Situational Awareness
Capture and Signage
Associate Effectiveness
Guest Detection and Tracking
Layout and Product Optimization
Inventory Management
VIDEO ANALYTICS PROVIDES RICH DATA ENABLING
DATA -> INSIGHTS -> ACTIONS
Video Analytics Generated Data
Data
Fusion
• Operations
• Business Intelligence
Customer Loyalty Data
Sales, Inventory, Supply Chain Data
Other Real-Time Tracking Technology Data
PARC | 22
GUEST TIMING SOLUTION: IMPROVED SITUATIONAL
AWARENESS USING VIDEO ANALYTICS
Real-Time
Dashboard
Drives Productivity:
• Shifts Compete
• Managers Compete
• Stores Compete
PARC | 23
Order-to-Fulfillment KPIs:
1. Pre-Order queue time
2. Order time
3. Pay time
4. Present time
5. Total Experience Time
Order-to-Fulfillment Time Measurement Proof-of-Concept
STEP 1
STEP 3STEP 2
PARC | 24
GUEST & CREW BEHAVIOR DETECTION:
CLICKS-TO-BRICKS USING VIDEO ANALYTICS
Enables Next
Generation
Retail Analytics
Foot Traffic Dwell Guest Touch
Video Analytics work in
progress: Guest
Tracking, Timing, &
Product Interaction
BUSINESS PROCESS OUTSOURCING:
EXAMPLE FROM XEROX
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
25
Workshop
ACCELERATING DOCUMENT WORKFLOWS:
XEROX SAFE COURIER
• Mobile app bringing video analytics to secure document
workflows on mobile, smart phone platforms
• Intelligent photo capture
• Automatic document
detection, recognition
• Optimized user experience
• Secure data transmission
26
SOME EXAMPLES FROM RECENT EXPLORATORY PROJECTS IN
HEALTHCARE AND INDUSTRIAL MARKET SEGMENTS
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
27
Workshop
HEALTHCARE:
VIDEO ANALYTICS ADDRESSES MARKET NEEDS
Excellent Health Outcomes Control Costs
28
Remote and Mobile Patient Monitoring
Patient Tracking
Novel Sensing and Diagnostics
Safety and Security
Procedural Compliance
Process Optimization
INDUSTRIAL:
VIDEO ANALYTICS ADDRESSES MARKET NEEDS
Measure & improve
operational efficiency
Ensure Safety and process
compliance
29
Process Optimization
Automation Enhancements
Operations Business Intelligence
Safety and Security
Procedural Compliance
Maintenance Early-warning
1
3
2
TODAY’S GOALS
VIDEO & IMAGE
ANALYTICS
30
Video and Images: The Other Big Data
Getting Started
Innovation Examples: The Right tools for the job
START WITH THE QUESTION IN THE EXPLORE WOKSHOP
• Identify the Opportunity and Potential
• Assess Options Available
• Learn from other Examples
• Scope Proof-of-Concept (PoC) Project
• Execute PoC and Validate Business Impact
• Demonstrate, Deliver, & Scale
31
Workshop
A GOOD TOOLBOX TO NAVIGATE THE TECHNICAL AND
OPPORTUNITY LANDSCAPE
PARC | 32
• Appropriate State-of-the-Art Algorithms and Methods
• Rapid Prototyping Capability
• System Optimization:
• Camera Networks
• Processing Architecture
• Computer Vision Algorithms
• Design for Six Sigma Development Process
• Expertise in Robust Large Scale Deployment
• Breakthroughs
• Proof-of-Concept
• Path to Delivery
Corporate &
Divisional Innovation
Transportation,
Logistics, and
Manufacturing
Automotive &
Aerospace
High Tech &
Telecommunications
Financial Services &
Marketing
Construction &
Infrastructure
Consumer Products
& Retail
Energy & Natural
Resources
Healthcare
Media &
Entertainment
PARC ENGAGES MANY INDUSTRIES
CONTACT US TO EXPLORE HOW WE CAN HELP
34
Breakthrough innovation: from problem to prototype
Ideation — novel and customized technological solutions
Visioning and roadmapping — how to get there from here?
Tech creation and development — deep expertise & ongoing research
www.parc.com
https://ninesights.ninesigma.com/web/parc-gallery
For More Information:
THANK YOU.

More Related Content

What's hot

Technology Roadmapping
Technology RoadmappingTechnology Roadmapping
Technology Roadmapping
gmeric
 
2015_InnovationDay_Better products through virtual customer validation_Verhae...
2015_InnovationDay_Better products through virtual customer validation_Verhae...2015_InnovationDay_Better products through virtual customer validation_Verhae...
2015_InnovationDay_Better products through virtual customer validation_Verhae...
Michiel Cambron
 

What's hot (12)

Stage gate process in IT product development
Stage gate process in IT product developmentStage gate process in IT product development
Stage gate process in IT product development
 
Technology Roadmapping
Technology RoadmappingTechnology Roadmapping
Technology Roadmapping
 
Imagination Lab Closeout presentation (3-Jan., 2018)
Imagination Lab Closeout presentation (3-Jan., 2018)Imagination Lab Closeout presentation (3-Jan., 2018)
Imagination Lab Closeout presentation (3-Jan., 2018)
 
Connecting the Dots: Decision Making for Next-Generation Products
Connecting the Dots: Decision Making for Next-Generation ProductsConnecting the Dots: Decision Making for Next-Generation Products
Connecting the Dots: Decision Making for Next-Generation Products
 
Technology commercialization overview
Technology commercialization overviewTechnology commercialization overview
Technology commercialization overview
 
How to shape your innovation ecosystem to create impact in your organization ...
How to shape your innovation ecosystem to create impact in your organization ...How to shape your innovation ecosystem to create impact in your organization ...
How to shape your innovation ecosystem to create impact in your organization ...
 
SVPMA: Elevating from Consumer to Mission Critical Value
SVPMA: Elevating from Consumer to Mission Critical ValueSVPMA: Elevating from Consumer to Mission Critical Value
SVPMA: Elevating from Consumer to Mission Critical Value
 
An Investigation into the New Product Process
An Investigation into the New Product ProcessAn Investigation into the New Product Process
An Investigation into the New Product Process
 
2015_InnovationDay_Better products through virtual customer validation_Verhae...
2015_InnovationDay_Better products through virtual customer validation_Verhae...2015_InnovationDay_Better products through virtual customer validation_Verhae...
2015_InnovationDay_Better products through virtual customer validation_Verhae...
 
How to Modify the Marketing Mix by Acuity Advisor PM Consultant
How to Modify the Marketing Mix by Acuity Advisor PM ConsultantHow to Modify the Marketing Mix by Acuity Advisor PM Consultant
How to Modify the Marketing Mix by Acuity Advisor PM Consultant
 
Eric Jimmink - The Specialized Testers of the Future
Eric Jimmink - The Specialized Testers of the FutureEric Jimmink - The Specialized Testers of the Future
Eric Jimmink - The Specialized Testers of the Future
 
2015 innovation day_study logic powerful tool to manage innovative product de...
2015 innovation day_study logic powerful tool to manage innovative product de...2015 innovation day_study logic powerful tool to manage innovative product de...
2015 innovation day_study logic powerful tool to manage innovative product de...
 

Similar to 2015-06-23 Video Analytics - Furst,M - PARC

SharePoint for Startups, Tales from the Trenches
SharePoint for Startups, Tales from the TrenchesSharePoint for Startups, Tales from the Trenches
SharePoint for Startups, Tales from the Trenches
Dave Healey
 
Performance Continuous Integration
Performance Continuous IntegrationPerformance Continuous Integration
Performance Continuous Integration
Almudena Vivanco
 

Similar to 2015-06-23 Video Analytics - Furst,M - PARC (20)

Software Testing Process & Trend
Software Testing Process & TrendSoftware Testing Process & Trend
Software Testing Process & Trend
 
SharePoint for Startups, Tales from the Trenches
SharePoint for Startups, Tales from the TrenchesSharePoint for Startups, Tales from the Trenches
SharePoint for Startups, Tales from the Trenches
 
Performance Continuous Integration
Performance Continuous IntegrationPerformance Continuous Integration
Performance Continuous Integration
 
[Webinar] Visa's Journey to a Culture of Experimentation
[Webinar] Visa's Journey to a Culture of Experimentation[Webinar] Visa's Journey to a Culture of Experimentation
[Webinar] Visa's Journey to a Culture of Experimentation
 
Deep Dive into Software Estimation - Texavi Tech Bootcamp on How to be a good...
Deep Dive into Software Estimation - Texavi Tech Bootcamp on How to be a good...Deep Dive into Software Estimation - Texavi Tech Bootcamp on How to be a good...
Deep Dive into Software Estimation - Texavi Tech Bootcamp on How to be a good...
 
Introduction to Enterprise architecture and the steps to perform an Enterpris...
Introduction to Enterprise architecture and the steps to perform an Enterpris...Introduction to Enterprise architecture and the steps to perform an Enterpris...
Introduction to Enterprise architecture and the steps to perform an Enterpris...
 
Applying Lean Startup Principles to Agile Projects
Applying Lean Startup Principles to Agile ProjectsApplying Lean Startup Principles to Agile Projects
Applying Lean Startup Principles to Agile Projects
 
тестовые стратегии
тестовые стратегиитестовые стратегии
тестовые стратегии
 
IoTMeetupGuildford#13: Michele Nati - Open Innovation in the UK - Digital Cat...
IoTMeetupGuildford#13: Michele Nati - Open Innovation in the UK - Digital Cat...IoTMeetupGuildford#13: Michele Nati - Open Innovation in the UK - Digital Cat...
IoTMeetupGuildford#13: Michele Nati - Open Innovation in the UK - Digital Cat...
 
Forget about Agile
Forget about AgileForget about Agile
Forget about Agile
 
IZERTIS V-trev midih-presentation-oc2_demo_day
IZERTIS V-trev midih-presentation-oc2_demo_dayIZERTIS V-trev midih-presentation-oc2_demo_day
IZERTIS V-trev midih-presentation-oc2_demo_day
 
Lec 17
Lec 17Lec 17
Lec 17
 
Nordstrom Rack | Hautelook: Building a Customer-Centered Culture
Nordstrom Rack | Hautelook: Building a Customer-Centered CultureNordstrom Rack | Hautelook: Building a Customer-Centered Culture
Nordstrom Rack | Hautelook: Building a Customer-Centered Culture
 
AMD at ITC 2014
AMD at  ITC 2014AMD at  ITC 2014
AMD at ITC 2014
 
The Need for Speed
The Need for SpeedThe Need for Speed
The Need for Speed
 
Will Everitt, Pacific Magazines
Will Everitt, Pacific Magazines Will Everitt, Pacific Magazines
Will Everitt, Pacific Magazines
 
The New Normal – Delivering Remote Professional Services
The New Normal – Delivering Remote Professional ServicesThe New Normal – Delivering Remote Professional Services
The New Normal – Delivering Remote Professional Services
 
Regtech in Fintech + QuSandbox Demo
Regtech in Fintech + QuSandbox DemoRegtech in Fintech + QuSandbox Demo
Regtech in Fintech + QuSandbox Demo
 
DevOps! let's change QA! DevOps Pro Lithuania
DevOps! let's change QA! DevOps Pro LithuaniaDevOps! let's change QA! DevOps Pro Lithuania
DevOps! let's change QA! DevOps Pro Lithuania
 
Lynn Dwyer: Smarter Working: What is all this digitalisation about?
Lynn Dwyer: Smarter Working: What is all this digitalisation about?Lynn Dwyer: Smarter Working: What is all this digitalisation about?
Lynn Dwyer: Smarter Working: What is all this digitalisation about?
 

2015-06-23 Video Analytics - Furst,M - PARC

  • 1. VIDEO AND IMAGE ANALYTICS: A KEY PART OF AN ANALYTICS STRATEGY Mike Furst, Director, Video and Image Analytics Lab, PARC
  • 2. PARC IS AN INNOVATION PARTNER 2 Breakthrough innovation: from problem to prototype Ideation — novel and customized technological solutions Visioning and roadmapping — how to get there from here? Tech creation and development — deep expertise & ongoing research
  • 3. 45 Years of The Business of Breakthroughs®
  • 4. PARC TODAY Six INNOVATION FOCUS AREAS 1 2 3 DIGITAL MANUFACTURING 4 PRINTED ELECTRONICS 5 META MATERIALS VIDEO ANALYTICS6 DATA ANALYTICS CONTENT CENTRIC NETWORKING
  • 5. 1 3 2 TODAY’S GOALS VIDEO & IMAGE ANALYTICS 5 Video and Images: The Other Big Data Getting Started Innovation Examples: The Right tools for the job
  • 6. 6 BIG DATA AND ANALYTICS ARE TRANSFORMING THE WAY THE WORLD WORKS TransportationRetailHealthcare SecurityEducationManufacturing
  • 7. PARC | 7 VIDEO AND IMAGES – “THE OTHER BIG DATA” Your activity What you buy Who you like How you perform How you get there What motivates you? What you consume Structured Specific Transaction Computational What you considered What you (and they) saw Your surroundingsWho was nearby Rich in content Flexible Existing? …and growing @ incredible rates Video
  • 8. TAXONOMY OF CAPABILITIES IN VIDEO ANALYTICS PARC | 8 Rare Event Detection/ Identification:Tracking / Timing / Scene Analysis: Video parking / Que timing In-store item and people tracking Vandalism / People + Actions Unexpected driving Event-driven Video Compression Monocular speed estimation Anomaly detection with single and multiple objects and trajectories Object Detection/ Identification: Event Detection/ Identification: Industry Leading License Plate Recognition Red Light ViolationParking Occupancy Biometrics Vehicle and Occupancy People in Scenes Signal Extraction: Visually Assessed Disease Screening & fine motion extraction Heart rate & HR Variability Fundamentals Scene Analysis People Monitoring and First-person Vision Surveillance → Interpretation Operational analytics Process Analytics Driver Gaze Monitoring Expression and Emotion Classifying Group BehaviorStress Monitoring Wearable-assisted Process Automation People & Behavior Analysis Semantic Understanding of People and Scenes
  • 9. VIDEO AND IMAGES FROM “3+1 PERSPECTIVES” ARE OPTIONS TO BE CONSIDERED Xerox Confidential9 Fixed Mobile 1st Person Scale (1-N) Mobile 3rd Person Surveillance Fixed 3rd Person Wearable and Passive 1st person Handheld or Mounted Active 3rd person
  • 10. TECHNICAL LANDSCAPE TO BE NAVIGATED Technology and Architectural Options • Suitability and customization of computer vision and analytics algorithms • Capture, storage, processing (distributed <–> centralized) Working “in the wild” • Performance in non-laboratory conditions Accuracy Required • 6σ Accuracy? • Fully-automated or collaborative with “human-in-the-loop” Real-time? • Action to be taken: in the moment, in the minute, later today, this month 10
  • 11. ENGAGE WITH PARC FOR VIDEO ANALYTICS • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 11 Workshop
  • 12. 1 3 2 TODAY’S GOALS VIDEO & IMAGE ANALYTICS 12 Video and Images: The Other Big Data Getting Started Innovation Examples: The Right tools for the job
  • 13. EXAMPLES WILL SPAN FROM CONCEPT TO TRANSFER • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 13 Workshop
  • 14. TRANSPORTATION : EXAMPLE CLIENT ENGAGEMENTS • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 14 Workshop
  • 15. TRANSPORTATION: VIDEO ANALYTICS ADDRESS MARKET NEEDS Efficiency Safety & Security Predictability Operations Inspection Usage Tracking Situational Awareness Accident Prevention Asset Protection Flow / Mobility Parking Public Transport
  • 16. CONGESTION: IMPROVE TRAFFIC FLOW 16 Current State: • Tolling increasingly relied on to support highway systems • Booths impede traffic flow / Transponders require distributed infrastructure Desired State: • All video tolling with no lost revenue AND no false violations PARC | 16
  • 17. PARC | 17 Approach: • Incorporating plate rules enhances performance • Synthetic training data speeds scaling and adaptation • Leverage “human-in-the-loop” to reach performance • Design in feedback for ongoing improvement Bala et al., SPIE-EI 2012 Challenges: • Hundreds of plate designs with yearly expansion • Environmental conditions • Accuracy required EXAMPLE: IMPROVE TRAFFIC FLOW WITH IMAGE-BASED LICENSE PLATE RECOGNITION Result: • State-of-the-art performance • Millions of plate / month
  • 18. CONGESTION: EFFECTIVE MANAGED LANES CAN IMPROVE OVERALL TRAFFIC FLOW Traffic Congestion: • $87B/yr Wasted Time & Fuel • Green House Gas Emissions • $$ to build out new Roadway HOV: “High Occupancy Vehicle” Lanes HOT: “High Occupancy Tolling” • Vehicle Occupancy Detection • License Plate Recognition • Dynamic Incentive Pricing Agency Response PARC | 18 HOV lane in Toronto, Canada (Hwy 404) Road congestion near Ontario, Canada (Hwy 401) Current State
  • 19. PARC | 19 EXAMPLE: EFFECTIVE HIGH-OCCUPANCY VEHICLE SYSTEMS Approach: • Customized combination of technologies • Simplify design with a priori knowledge • Classification vs. face detection Challenges: • Lighting and environmental conditions • Passenger compartment illumination • Variation in passenger pose and obstructions • Variation in vehicle make / model • Accuracy required in near real-time Result: • First operationally effective system at required accuracy and yield • New market for client and industry
  • 20. RETAIL: EXAMPLE CLIENT ENGAGEMENTS • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 20 Workshop
  • 21. RETAIL: VIDEO ANALYTICS ADDRESSES MARKET NEEDS Operational Effectiveness Right Info at Right Time at Right Place Connecting “Clicks” and “Bricks” 21 Complete Guest Picture Guest Experience Management Guest Interactions Situational Awareness Capture and Signage Associate Effectiveness Guest Detection and Tracking Layout and Product Optimization Inventory Management
  • 22. VIDEO ANALYTICS PROVIDES RICH DATA ENABLING DATA -> INSIGHTS -> ACTIONS Video Analytics Generated Data Data Fusion • Operations • Business Intelligence Customer Loyalty Data Sales, Inventory, Supply Chain Data Other Real-Time Tracking Technology Data PARC | 22
  • 23. GUEST TIMING SOLUTION: IMPROVED SITUATIONAL AWARENESS USING VIDEO ANALYTICS Real-Time Dashboard Drives Productivity: • Shifts Compete • Managers Compete • Stores Compete PARC | 23 Order-to-Fulfillment KPIs: 1. Pre-Order queue time 2. Order time 3. Pay time 4. Present time 5. Total Experience Time Order-to-Fulfillment Time Measurement Proof-of-Concept STEP 1 STEP 3STEP 2
  • 24. PARC | 24 GUEST & CREW BEHAVIOR DETECTION: CLICKS-TO-BRICKS USING VIDEO ANALYTICS Enables Next Generation Retail Analytics Foot Traffic Dwell Guest Touch Video Analytics work in progress: Guest Tracking, Timing, & Product Interaction
  • 25. BUSINESS PROCESS OUTSOURCING: EXAMPLE FROM XEROX • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 25 Workshop
  • 26. ACCELERATING DOCUMENT WORKFLOWS: XEROX SAFE COURIER • Mobile app bringing video analytics to secure document workflows on mobile, smart phone platforms • Intelligent photo capture • Automatic document detection, recognition • Optimized user experience • Secure data transmission 26
  • 27. SOME EXAMPLES FROM RECENT EXPLORATORY PROJECTS IN HEALTHCARE AND INDUSTRIAL MARKET SEGMENTS • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 27 Workshop
  • 28. HEALTHCARE: VIDEO ANALYTICS ADDRESSES MARKET NEEDS Excellent Health Outcomes Control Costs 28 Remote and Mobile Patient Monitoring Patient Tracking Novel Sensing and Diagnostics Safety and Security Procedural Compliance Process Optimization
  • 29. INDUSTRIAL: VIDEO ANALYTICS ADDRESSES MARKET NEEDS Measure & improve operational efficiency Ensure Safety and process compliance 29 Process Optimization Automation Enhancements Operations Business Intelligence Safety and Security Procedural Compliance Maintenance Early-warning
  • 30. 1 3 2 TODAY’S GOALS VIDEO & IMAGE ANALYTICS 30 Video and Images: The Other Big Data Getting Started Innovation Examples: The Right tools for the job
  • 31. START WITH THE QUESTION IN THE EXPLORE WOKSHOP • Identify the Opportunity and Potential • Assess Options Available • Learn from other Examples • Scope Proof-of-Concept (PoC) Project • Execute PoC and Validate Business Impact • Demonstrate, Deliver, & Scale 31 Workshop
  • 32. A GOOD TOOLBOX TO NAVIGATE THE TECHNICAL AND OPPORTUNITY LANDSCAPE PARC | 32 • Appropriate State-of-the-Art Algorithms and Methods • Rapid Prototyping Capability • System Optimization: • Camera Networks • Processing Architecture • Computer Vision Algorithms • Design for Six Sigma Development Process • Expertise in Robust Large Scale Deployment • Breakthroughs • Proof-of-Concept • Path to Delivery
  • 33. Corporate & Divisional Innovation Transportation, Logistics, and Manufacturing Automotive & Aerospace High Tech & Telecommunications Financial Services & Marketing Construction & Infrastructure Consumer Products & Retail Energy & Natural Resources Healthcare Media & Entertainment PARC ENGAGES MANY INDUSTRIES
  • 34. CONTACT US TO EXPLORE HOW WE CAN HELP 34 Breakthrough innovation: from problem to prototype Ideation — novel and customized technological solutions Visioning and roadmapping — how to get there from here? Tech creation and development — deep expertise & ongoing research www.parc.com https://ninesights.ninesigma.com/web/parc-gallery For More Information: