Visual Intelligence & Video Analytics
Modern Visual Information Work Flow
PhysicalWorld
Decision
• Manual capture at ground level• Limited to where he can travel
A
• Auto capture at elevated level• Limited to selected locations
B
Key Milestones For Capturing Visual Information
• Auto capture from top• Freedom to view any part of Earth
D
• Auto capture from top• Freedom to roam with limited range
C
A B
DC
Key Technologies Which Drives Changes
• Invention of CCD/CMOS image sensor• Broadband communication
• Improved SW & Avionics• Solid-state IMU & Gyroscope• Composite material• Fuel cell battery
• High efficiency solar panel• Improved electronics
• Chemical-based photo-sensitive film• Miniaturized opticsTechnological changes have bring
forth new Capabilities
Google GlassSmart Watch Wearable Camera
Pill Camera
In-Vehicle Camera
Mobile Phone Camera
Proliferation of imaging devices are leading to an ever increasing amount of visual information
What’s Next ?
Mckinsey & Company, 2013 May, 12 Disruptive technologies: Advances that will transform the global economy
Opportunity : Number 5, Transportation & Traffic
LPR
Speeding
Bus lane intrusion
Smoky exhaust
Traffic condition
Opportunity : Number 4, Human Behavior ClassificationFight Aggressive behavior
Anger ShopliftingCrowd formation
Opportunity : Number 3, Visual Search (Rigid/Semi-Rigid Obj)
Opportunity : Number 2, Facial Recognition
Opportunity : Number 2, Facial Recognition
Opportunity: Number 1, Health Diagnostic
Computation Power
Data Storage
Input Sources
Bandwidth
Algorithm• ML, AI, DM• Tradeoffs
Challenges (Technical)
Challenges (Operational)
Privacy• Problem getting sufficient data
Reliability• Is it good enough ?
For many species, survival depends on whether it could
see it’s prey and predator