Public Safety Public Nuisance Power Consumption
What is RFID Intelligent Infrastructure Hazard Identification Implementation The Time is Right
Transforms Existing Infrastructure Improves Safety Protects Highway Workers Low-Cost, Reliable, Ubiquitous Information Always Available Teaches ML Algorithms No Connectivity Needed Reduces Operational Power Improves Sustainability Solves Edge Cases Hack Proof System
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Advantages: Teaches ML Algorithms
RF-Eye Simplifies Training Machine Learning (ML) Algorithms
RF-eye Identifies Roadside Objects
ML Training Challenges
  • Training requires millions of tagged images for each object
  • Daylight images are typically used (think of all the Capta images you have tagged)
  • Very little data in different lighting and weather conditions exist
  • Algorithms are currently unable to infer objects in low light or inclement weather
RF-eye Enables Comprehensive ML Training
Beacons identify objects in all lighting and weather conditions
  • RF-eye position data obtained by triangulation
  • Position data is correlated with lidar position data
  • The computer tags the image with the RF-eye identification
  • Images are tagged with environmental conditions as well (e.g., rain)
  • Millions of vehicles create tagged images
  • Large data sets of objects in various conditions are available for teaching ML algorithms
Transforming current infrastructure into an intelligent infrastructure using low-cost, reliable, RFID technology
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