An innovation supported by
An innovation supported by
Want to learn more?
info icon
Future Mobility Multimodality
Computer Vision, micromobility, scooters, ebikes, vision data, accident reduction, sidewalk riding, collisions, parking, infrastructure insights, gadget

Product client

cities, shared operators

Maturity

Commercialised

Find out more about this product's availability

Product end user

cities, shared operators

Where and why errant behaviour happening in your city? You would need visual data to really understand this. We apply computer vision to understand and appropriately eliminate the root causes of three core dangers of shared mobility scheme:

  1. Sidewalk riding,
  2. Collisions,
  3. Disorderly parking.


Accurate location tech is imperative - GPS inaccurate for LEVs (Urban Canyon Effect) – operators do not know if a scooter is being ridden on a road versus a sidewalk. Irrefutable visual proof of exact location = Control


Luna enables cities and operators to work together with context. 

Context allows for appropriate actions!

  • Is someone mounting sidewalk on purpose? = example actions: automatically reduce speed & penalise 
  • Is it due to fear (narrow infrastructure) - educate, reroute, incentivise

Context allows us to Learn and fix core behaviour or infrastructure deficits causing errant vehicle use.


Beyond safety - visual insight on how car-less infrastructure should evolve based on rider use. 


Value Propositions

Provides irrefutable visual proof of real-time location of e-scooters/e-bikes, allowing operators to eliminate sidewalk riding, collisions and disorderly parking.

Explore shared Files of this Product

Would you like to learn more about this Product? Contact the user for more information.

Related Marketplace Items
Join us & Discover more Sign up!