Starting up with the system

Deploy the Marvelmind Indoor “GPS” system in small controllable steps and to increase the complexity of your network with one small step at a time, if you want to spent little time and the minimum efforts with it:

  • Don’t jump over steps before your confirm the perfect tracking on the previous step
  • Don’t to try to rush to the final configuration

For example, you need to cover a warehouse with 10 workers and 5 robots. The network planning shows that there will be 20 submaps and 22 x Super-Beacons, IA configuration. Each worker wears the Marvelmind Helmet and each robot has 2 x (Super-Beacon + Omni-Microphone) for Location+Direction. The network looks pretty complex at the beginning. But it doesn’t matter. Follow the steps below and the deployment of the system will be easy.

Summing up, even if you need to a complex IA system at the end, like in the example above, start with the most basic NIA with just two stationary beacons and one mobile beacon in the beginning and increase complexity step by step after confirming that everything works perfectly on the previous step.

Step by step guide

See similar guide: 8 basic steps from unpacking to autonomous drive/flight. It describes on the higher level the same message: Do everything in small steps. The steps below focuses on those basic configurations and the recommended workflow.

1) Deploy basic 2D in NIA

  • Reach basic NIA tracking in 2D: 2 x stationary Super-Beacons and only 1 x mobile Super-Beacon

We give examples based on Super-Beacons, because they are the easiest. For example, if you later on will us Mini-TX as a mobile beacon, but you have Super-Beacons, start with Super-Beacons. They have larger battery, better antenna. You simply have fewer point to mistakes.

This is exactly why we recommend to start with NIA, only 2 stationary beacons and only one mobile beacon:

  • Whatever frequency of ultrasound beacon you choose for stationary beacons, it will work for NIA. There are clear requirements for ultrasound frequency for IA and if chosen incorrectly, it won’t work. Start with NIA
  • More than one mobile beacon may confuse you

2a) Deploy basic 3D in NIA

2B) Deploy 2 or mobile beacons in 2D in NIA

Deploy basic 2D in NIA

  • Reach basic NIA tracking in 2D: 2 x stationary Super-Beacons and only 1 x mobile Super-Beacon
  • If you need to 3D, then deploy next the NIA, but in 3D: 4 x Stationary Super-Beacons and 1 x mobile Super-Beacon. As you see, we didn’t change the architecture – still NIA; we didn’t change the number of mobile beacons – still 1 x mobile Super-Beacon
  • Reach basic NIA tracking in 3D – not yet on a drone
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  • Reach the same on a drone, but drone is not yet flying remotely controlled – just the mobile beacon is powered from a drone
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  • Try to revolve propellers, but not to the full power. Monitor tracking. Use embedded into the Dashboard oscilloscope to see the signal and the trigger, if needed
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  • Try to fly remotely controlled and track. You must see something like this: https://youtu.be/2Rn0On9aEKg – if you have it, then you are ready to move to try an autonomous flight
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  • Get the 3D lock in Mission Planned or ArduPilot
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  • Try to fly autonomously for with one robot and not yet the paired beacons
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  • Try the Paired Beacons with direction
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  • And only at this stage try to fly more than 1 drone autonomously

See similar page: 8 basic steps from unpacking to autonomous drive/flight – it describes on the higher level the same message: Do everything in small steps
The article focuses on those basic configurations are and how to start up with the system

What to do in case of problems

By this moment you have confirmed and solid tracking. You have integrated your mobile object successfully. It is getting the mobile data can use it. It is time do the autonomous movements – drive autonomously, fly autonomously, swim autonomously – whatever the system was intended to be used for. Of course, make it cautiously with all the safety measures with the lowest speed, etc., but it is time

If anything is unclear, contact us via info@marvelmind.com