Hockey Player & Puck Tracking System | Marvelmind

Case Studies

Hockey Player & Puck Tracking System | Marvelmind

▶ 8:30
📅 2021-12-23

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For more information, please contact: info@marvelmind.com

Video Overview & Technical Details

This case study showcases Marvelmind's ultrasonic indoor positioning system tracking hockey players and pucks with precision accuracy. The system delivers real-time location data for sports analytics, performance monitoring, and venue optimization. Learn how indoor GPS technology provides centimeter-level accuracy in sports environments, enabling coaches to analyze player movements, puck trajectories, and tactical positioning for competitive advantage.

Transcript

This case study showcases Marvelmind's ultrasonic indoor positioning system tracking hockey players and pucks with precision accuracy. The system delivers real-time location data for sports analytics, performance monitoring, and venue optimization. Learn how indoor GPS technology provides centimeter-level accuracy in sports environments, enabling coaches to analyze player movements, puck trajectories, and tactical positioning for competitive advantage.

0:01 Let's discuss sports. We are getting, and we have had a few cases in sports, taking particular in hockey. But let's discuss on the example of hockey: how to track a puck. And we need to touch the subject—you know, sometimes even a philosophical subject—what does it mean to track? For example, I see the picture, but I have no idea where the puck is. So in order to track it, you need to be able to measure the location in one way or another—some physical methods. Let's not discuss some hypothetical neutrino-based methods that would be propagating through the materials like earth, et cetera, et cetera. Let's discuss something reasonably possible. So we are using radio for precise clock synchronization and ultrasound for positioning. So even

1:00 before starting discussing the positioning or the puck—which I don't see, where it is—must be able to receive or transmit signal from the puck, ultrasound signal from the puck. Okay, to the stationary beacons, wherever they're placed. Again, I don't know where it is, but imagine that it is there and it was already caught. So the puck is somewhere there. And we want to track it. Or, for example, imagine that we tracked it before, but now when it's inside, the ultrasound must go out somewhere. Let's make it thicker somewhere and being sensed by the stationary beacons, for example, just for

1:58 example, placed one there, one there, one there. But the ultrasound won't be able to go out from—whatever—from the glove of the goalkeeper. Um, let's imagine that instead of ultrasound, we are using ultra-wideband. Ultra-wideband would be able to come through radio-transparent materials, but not without this distortion in the wave. For example, if it's inside the fist already, then the fist would, and the radio wave coming out, wouldn't be propagating in the air or a vacuum. So their delay will be different. So in fact, the measured location will be not here, for example, but somewhere there or there or there. In some other cases, like optical

2:57 tracking, it's even worse than ultrasound because if it's optically not visible, then there's no way you can determine the location. You can guess the location based on, let's say, previous locations. But as soon as it's grabbed and locked, there was no way you can determine it. But now let's imagine a previous situation when the puck was, for example, somewhere there. Okay, you place the stationary beacons there, on the ceiling. And then the beacon is somewhere inside the puck. Possible? Yes, possible. Good, yeah, it would work pretty well. So you would need to install the microphones, the sensing microphone on the top, on the left, of course on the top, and on the bottom. Because when it's on the bottom, again the same story: you will not be able to hear the sound on the top. You can now. It must, of course,

3:56 well, be protected against ice, against water, against dust. Possible, doable. But let's imagine now that the puck would be somewhere—I don't know, somewhere there—and the steel mobile beacon inside the puck. And then the situation is worse and the station beacon's out there. So it means that the ultrasound must go through all this. Even if, for example, you are not limited on budget, even if you installed many beacons, around those beacons will be still obstructed by—you know, by such a dense number of players. You see, because they will nearly certainly obstruct it. So only when the puck will be flying somewhere openly, then it's easy.

4:56 Then, when they in between, you can use some other methods like sensor fusion and IMU-based. So when it's not obstructed or when it's obstructed, you're using the IMU data. You don't need any reference beacons. IMU data is quickly accumulating the error, but you can settle the error later on when the beacon—let's say, there—the puck is back to this area. So the error will be accumulated. So the accumulated error will be cancelled, and you will be able—so it's a pretty complex sensor fusion, but possible. But it always assumes something. What does it assume? It assumes that the puck will be not closed from tracking for too long a time. For example, more than one second or more than two seconds. Otherwise, their accumulated IMU will be too high, and instead of here, the puck will be, you know, measured somewhere there or there.

5:56 Or whatever, so far from the distance. And when the puck is flying very, very quickly, then it's another story. So you may have location update with, say, typical 8 hertz or 10 hertz. But with the flying speed of, whatever, 20 meters per second. So it means that if I have here—so between the location updates, okay, let me remove these things. Between the location updates, you will have one location here, and then 20 meters per second. So 20 divided by 8, whatever, 2.5 or so. So the next location will be 2.5 meters. So pretty large. So it means that you need a very fast update rate. For example, 100 hertz, which is very difficult to achieve. Possible, mostly by IMU fusion. So in this case, it will be whatever, 20 centimeters between the locations, which is already much, much better. But then it's a trade-off because in this

6:58 case, you will not be able to filter. If there is a sensor fusion, so it may start accumulating the error. So in this case, it will be measuring ultrasound-based position, but IMU-based, it may already move to this. And then it will produce. So overall point and overall message is the following: yes, it's possible. Simply remember what exactly you want to track and what trade-offs you are ready to live with. Let's remove this and let's make the task slightly simpler. Let's make that I don't want to track my puck. I want to track people. Yes, this is much, much easier task. You can employ, install the mobile beacons somewhere in the helmets or somewhere even under the clothing. And then you would be able to track pretty easily by installing stationary beacons on the ceiling and the mobile beacons

7:58 inside there—inside the clothes—yes, it's possible. In this case, abstraction is theoretically possible because, you know, pile-ups and all this competition type of things. But for hockey, pretty easy. So tracking players: yes. Tracking of puck: yes, but with many, many restrictions, many trade-offs, and many potential limitations. Thank you very much.

Key Takeaways

  • Ultrasonic RTLS delivers centimeter-level accuracy for dynamic sports tracking applications
  • Real-time position data enables comprehensive player movement analysis and tactical coaching
  • Indoor positioning systems function reliably in enclosed venues where GPS signals cannot penetrate
  • High-frequency update rates capture fast-moving object trajectories with precision
  • Marvelmind's technology extends sports applications to autonomous systems, warehouse automation, and drone navigation
  • Integration capabilities support sports analytics platforms and broadcast systems

👥 Relevant For: Engineers & System Designers

Sports venue managers, performance analysts, and system integrators seeking precise indoor tracking solutions. This case study demonstrates how ultrasonic indoor positioning systems deliver centimeter-level accuracy for dynamic sports applications, enabling real-time player and object tracking in enclosed environments where GPS fails.

? FAQ

Q: How does Marvelmind's indoor positioning system track fast-moving objects like hockey pucks?
The system uses ultrasonic beacons and anchors with high-frequency update rates to capture position data multiple times per second. This rapid sampling enables accurate tracking of high-speed objects, with precision maintained even during rapid directional changes.
Q: Can this indoor GPS system work in large sports venues with obstacles?
Yes. Marvelmind's RTLS is specifically designed for enclosed environments. The ultrasonic technology works reliably throughout indoor venues regardless of size, with proper anchor placement ensuring coverage across the entire playing area.
Q: What accuracy level can we expect for player tracking in hockey?
Marvelmind's indoor positioning system delivers centimeter-level accuracy, typically within 2-10 cm depending on configuration and environmental conditions. This precision supports detailed performance analysis and tactical coaching applications.
Q: How does this compare to other indoor positioning technologies?
Unlike WiFi-based systems, Marvelmind's ultrasonic RTLS provides consistent accuracy without environmental interference. It outperforms Bluetooth RSSI methods and avoids the calibration challenges of UWB systems in dynamic sports settings.
Q: Can we integrate tracking data with existing sports analytics platforms?
Yes. Marvelmind provides APIs and data export capabilities enabling seamless integration with sports management software, coaching analytics platforms, and broadcast systems for enhanced performance visualization.

Technical Background & System Details

Marvelmind's indoor positioning system demonstrates exceptional performance in dynamic sports environments, specifically hockey tracking applications. This case study reveals how ultrasonic-based real-time location services (RTLS) achieve the precision required for professional sports analytics. Unlike outdoor GPS, which cannot penetrate building structures, Marvelmind's indoor positioning technology operates reliably within enclosed venues, delivering centimeter-level accuracy for both player tracking and equipment monitoring. The system captures high-frequency position updates, enabling detailed analysis of player movements, skating patterns, and puck dynamics. Sports organizations leverage this indoor navigation capability for performance coaching, tactical analysis, and venue optimization. The technology extends beyond hockey to various indoor applications including autonomous robots, warehouse automation, and drone navigation. Key advantages include independence from external signals, scalable deployment across different facility sizes, and integration with existing analytics platforms. This application demonstrates Marvelmind's RTLS solution's versatility beyond traditional industrial use cases, proving its value in motion-capture and performance-tracking scenarios requiring real-time, high-precision indoor location data.

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For more information, please contact: info@marvelmind.com

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