Indoor Tracking System ±2cm Accuracy | Marvelmind

Product Demos

Indoor Tracking System ±2cm Accuracy | Marvelmind

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📅 2018-08-29

Indoor Tracking System ±2cm Accuracy | Marvelmind

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

What This Video Covers

This video demonstrates Marvelmind's precision indoor positioning system achieving ±2cm accuracy in XYZ coordinates without GPS or GLONASS. The demo displays real-time tracking data from multiple viewing angles (XY, XZ, YZ) alongside raw and post-processed data from the Dashboard Player. Perfect for validating autonomous robot navigation, indoor drone guidance, and warehouse automation accuracy requirements.

Key Takeaways

  • Marvelmind delivers ±2cm positioning accuracy in full XYZ coordinates without GPS or GLONASS dependency
  • Real-time Dashboard Player displays raw and post-processed tracking data simultaneously across multiple coordinate planes
  • Indoor positioning system enables autonomous robot navigation, indoor drone guidance, and warehouse automation in GPS-denied environments
  • Multi-angle visualization (XY, XZ, YZ views) allows engineers to validate system performance across all three spatial dimensions
  • Ultrasonic RTLS technology suitable for autonomous forklifts, warehouse robots, and indoor fleet tracking applications

👥 Who Should Watch This

Robotics engineers, warehouse automation managers, and autonomous vehicle developers who need centimeter-level indoor positioning without GPS. This demo proves how Marvelmind's ultrasonic indoor positioning system delivers ±2cm accuracy in three-dimensional space for autonomous robots, drones, and indoor fleet tracking applications.

? FAQ

Q: How does Marvelmind achieve ±2cm indoor tracking accuracy without GPS?
Marvelmind uses ultrasonic time-of-flight technology with stationary beacons placed around your facility. The system triangulates mobile robot or drone positions by measuring signal travel time between beacons and receivers, delivering centimeter-level accuracy in three-dimensional space.
Q: What's the difference between raw data and post-processed data shown in the demo?
Raw data represents direct sensor readings with minor noise and jitter. Post-processed data applies Marvelmind's filtering algorithms to smooth trajectories while maintaining true position accuracy, ideal for autonomous robot path tracking and analytics.
Q: Can Marvelmind's indoor positioning system work in my warehouse?
Yes, for most warehouses. The system requires line-of-sight between beacons and mobile receivers and works best in spaces up to 30m x 30m per beacon configuration. Consult Marvelmind's planning guide for your specific facility layout.
Q: Is this indoor tracking system suitable for forklift operations?
Absolutely. Marvelmind's indoor positioning enables real-time forklift tracking, collision avoidance, and fleet management in GPS-denied warehouse environments with the same ±2cm accuracy demonstrated here.
Q: What autonomous robots and drones can use this indoor positioning system?
Marvelmind integrates with any autonomous platform via API or serial interface. Common applications include warehouse AMRs, delivery drones, inspection robots, and autonomous forklifts requiring precise indoor navigation.

Detailed Overview

Marvelmind's indoor positioning system delivers unprecedented positioning accuracy for autonomous robots, drones, and warehouse automation equipment operating without GPS or GLONASS signals. This video demonstrates ±2cm precision tracking in full three-dimensional space, showing simultaneous XY, XZ, and YZ plane visualization. The demo captures both raw sensor data and post-processed coordinates from Marvelmind's Dashboard Player, illustrating real-time positioning performance. This indoor tracking system enables precise autonomous robot navigation, forklift tracking with centimeter-level accuracy, and indoor drone guidance in GPS-denied environments. The visualization methodology—displaying multiple coordinate planes simultaneously—allows engineers to validate system performance across all axes. Data shown includes both instantaneous readings and smoothed post-processing outputs, demonstrating Marvelmind's advanced RTLS (Real-Time Location System) capability. Critical for warehouse automation, autonomous indoor robot fleets, and any application requiring sub-5cm indoor positioning accuracy without external GPS infrastructure.

# Topics

indoor positioningindoor trackingxyz positioningautonomous robotswarehouse automationRTLSindoor gps alternative

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