Fantasmo

Optimizing E-Scooter and E-Bike Navigation with Cameras

Overview

Enhancing E-Scooter Navigation with CPS

Fantasmo creates 3D city maps by walking streets with a camera. Their app uses these maps and AI to pinpoint vehicle locations. When parking an e-scooter, simply take a picture, and the app will verify its location and return status. This solution provides greater accuracy than traditional GPS, especially in dense urban areas.
Fantasmo Mobile App for e-scooter Parking System
  1. Product

    Advanced Vehicle Location Solution

    Fantasmo built an advanced software solution that allows easily identifying vehicles location via CPS and offers more precision than traditional GPS-based navigation systems, which can be a big advantage in dense urban environments.
Waist
About the client

TIER and Fantasmo Join Forces

Fantasmo provided CPS-powered software products, it later was acquired by TIER Mobility. TIER is a leading provider of shared electric micro-mobility solutions in Europe, by providing people with a range of affordable light electric vehicles, from e-scooters to e-bikes, TIER helps cities reduce their dependence on cars.
Footwear

Challenges

  1. Expanding Compatibility to AndroidTo port an existing iOS SDK to be be available on the Android platform
  2. Fast-Track Android App DevelopmentTo create quickly an Android app tos showcase the Fantasmo SDK, so that this version could get to the market as soon as possible.
Product

Solution

  1. Expanded Technology ReachExaud ported the Fantasmo SDK to Android, broadening its capabilities beyond iOS and enabling Android users to benefit from advanced 3D city mapping and vehicle location features.
  2. New Android App DevelopmentExaud created a new Android app to showcase the SDK, facilitating rapid market entry while maintaining the precision and functionality of the iOS version, and improving the accuracy of vehicle location verification in urban environments.
Product

Learnings

  1. Ensuring iOS and Android ConsistencyCreating the corresponding Android SDK and app that have exactly the same behavior as iOS solution was not always straightforward as images are processed in a slightly different manner.

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