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An Image Recognition Module for a Satellite Tracking App

Telecom
Customer rating
4.9
This ranking reflects our expertise and success
An Image Recognition Module for a Satellite Tracking App

About the client

This business case provided us with an opportunity to collaborate with a leading technology provider specializing in satellite communications and the Internet. Specifically, their business focus revolves around satellite antennas, terminals, and corresponding software, with a mission to enable unprecedented connectivity.

Location:USA
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About project

The primary objective of the customer was to create a native blockage recognition module for a Flutter mobile app, facilitating equipment setup activities in areas with access to low-orbit satellites and availability of open sky zones.

Duration8 months
Technologies
Swift
Kotlin
Flutter
C++
UI/UX
QA
Python
TensorFlow
OpenCV
User interface pages
User interface pages

Solution

During this IT project, our team not only delivered what had been requested but also proposed several suggestions to improve the existing product vision. The resulting image recognition mobile app can:

  • Scan 360 degrees of the sky via the mobile terminal camera;
  • Recognize and display the sky or its blocked zones from the scanned image via ML algorithms;
  • Calculate the blockage angle (elevation) for every 1 degree, based on True North, and return a scanned image.

App functionality

As a team of image recognition app development experts, we have ensured the following functions:

  • Recognizing the horizon line and performing image recognition;
  • Scanning the entire 360 degrees of the sky;
  • Estimating obstructions and blind zones, as well as calculating the blockage angle;
  • Measuring altitude.

Project results

The success of this project can be highlighted by such figures as:

97%

precision of calculations;

92%

end-user satisfaction rate.

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We submit a comprehensive project proposal with estimates, timelines, CVs, etc.

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