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
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: