Koronis Scouting System - 2022 Update!

The 2022 update for KSS is out!

Home page: https://web.koronis.cc
App: https://app.koronis.cc
Discord: https://discord.koronis.cc

For people new to KSS, here is a quick overview of KSS:

Koronis Scouting System is an all-in-one solution to the technical challenges posed for electronic scouting of the FIRST Robotics Competition. Koronis Scouting System, shortened to KSS (pronouced kAY-Es-Es), aims to solve multiple problems:


  • Offline Data Transfer - FRC events often happen in venues with poor celluar connection, no WiFi networks, and no WiFi hotspots. Because of this, transferring data between devices becomes challenging. KSS provides multiple solutions to transferring data offline:
    • QR Code Streams - By utilizing built in cameras in mobile devices, modest amounts of data can be easily transferred through multiple QR codes. Even with low powered devices, data rates average around 200-300 bytes per second. Not enough to transfer high resolution pictures, but enough to easily transfer scouting data.
    • Audio Cable (libquiet) - Using quiet.js (libquiet compiled for javascript) to transform data into audio signals, 2KBps transfers through audio cables are possible.
    • File Based Transfer - Sometimes, the classic usb drive is the simplest way to transfer data. This option is often the best for data transfer between non-mobile devices, like laptops and desktops.


  • Internet Enhanced, not Internet Required - KSS aims to seamlessly integrate with The Blue Alliance (abbreviated as TBA) to provide a public platform for scouting. However, KSS retains offline functionality for the most essential parts of scouting.


  • Full Scouting Pipeline - KSS aims to provide full end-to-end solution.
    • Data Recording - KSS aims to capture more details beyond surface level statistics. Instead of recording only the counts of robot actions, KSS records each individual action a robot takes with a timestamp and position. This allows for the full reconstruction of robot events.
    • Data Standarization - KSS aims to standarize the format within the platform to allow for easier sharing of data between teams.
    • Data Transfer - As detailed above, KSS provides multiple ways to transfer data in an offline environment.
    • Data Processing - KSS looks to provide tools to extract metrics from data. By providing a platform to run user generated code to extract data in a user customizable way, KSS aims to provide a flexible and powerful way for the user to gain deep insight into robot performance.
    • Data Visualization - KSS looks to provide two avenues to create visual representations of metrics.
      1. Simple and standardized charts and graphs for simple metrics. This allows for a faster and easier way of data visualization from custom metrics.
      2. Full custom visualizer for limitless visualization. KSS provides a blank canvas (literally a <canvas> tag) and some common JS libraries (Chart.js, plotly.js, d3.js, etc.) to allow for complete visualization customization.
  • Cross Platform Compatibility - Built on common web technologies and using powerful PWA frameworks, KSS aims for broad compatibility between different platforms and operating systems. Note: Due to Apple refusing to allow 3rd party web engines and forcing all 3rd party web browsers (like Chrome for iOS) to use their outdated WebKit web engine, KSS works only in an limited fashion on iOS. See the iOS Support page for more information

The app is currently fully functional, but I’m still writing the documentation to support the app. For more information, join the discord server! I’m usually available to talk about it whenever I’m free.


This seems like a really cool app. I’m a bit confused about how to transfer data between systems. I don’t see a QR code on the transfer screen. Any assistance?

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I can walk you through it if you need to on the discord. Here is a guide on KSS 1. Getting Started · Wiki · Koronis Scouting System / KSS Client · GitLab.

Version 1.2.10 is out! This should be the game day version for week one, good luck to everyone!

Do you have example metrics, reports or dashboards? I’d like to explore more time and location based scouting, but curious how it’s used to help the ‘end user’.

Right now, if you record some test data, it produces data like this