Demo Video Coming Soon... Stay Tuned!
Scaled Demo
RF-eye is currently developing a scaled demo using an adapted Radio Controlled (RC) Vehicle.

The RC vehicle is fitted with

  • A camera system
  • Python Neural Network (PNN) code
  • A RF interrogator / reader system
  • Coding managing RF interrogations and received signals
  • A Raspberry Pi controller using the PNN and / or RF inferences to control the vehicle
The RF power is scaled by the same factor as the vehicle relative to a typical car.
Animation of RF-eye system informing driving
The demo will consist of three videos:

RF-eye location data is accurate and highly redundant

  1. Using the PNN only to control the vehicle in clear sunny situations
  2. Using the PNN only to control the vehicle in adverse conditions
  3. Using the RF system to control the vehicle in adverse conditions
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