Indoor Tracking System: ±2cm Dual Beacon Demo | Marvelmind
What This Video Covers
This 19-second video demonstrates precise indoor tracking of two people carrying mobile beacons with ±2cm accuracy. Marvelmind's ultrasonic indoor positioning system uses time division multiple access (TDMA) to track multiple targets simultaneously, with each beacon updating at approximately 8Hz. The system features stationary beacons mounted on walls and delivers location data via multiple interfaces: direct mobile beacon output or USB/UART connectivity to PC. This proof-of-concept validates multi-target tracking for autonomous indoor applications.
Key Takeaways
- Achieves ±2cm accuracy tracking 2+ mobile beacons simultaneously using time division multiple access (TDMA)
- Each beacon updates at ~8Hz with two targets; rate scales with beacon count
- Stationary wall-mounted beacons create infrastructure-based indoor positioning without GPS
- Multiple data interfaces (USB, UART, SPI, I2C) enable integration with autonomous robots and warehouse systems
- Ultrasonic technology provides reliable indoor location tracking alternative to UWB and WiFi-based systems
Who Should Watch This
Engineers and operations managers evaluating indoor positioning systems for autonomous robots, warehouse automation, and real-time personnel tracking. This demonstration addresses the critical need for centimeter-level accuracy in multi-target tracking scenarios, proving that commercial systems can simultaneously locate multiple moving objects without degradation.
FAQ
Detailed Overview
Marvelmind's ultrasonic indoor positioning system delivers centimeter-level accuracy for simultaneous multi-target tracking, as demonstrated in this real-world scenario with two mobile beacons. The video showcases the system's core advantage: time division multiple access (TDMA) technology enables tracking of multiple moving objects without interference or accuracy loss. Each mobile beacon achieves approximately 8Hz update frequency when two targets are tracked, with minor latency from system switching overhead. The architecture separates stationary reference beacons (wall-mounted) from active mobile beacons, creating a scalable indoor positioning network. Location data streams through multiple interface options—either directly from mobile beacons or via modem connected to host systems through USB virtual UART, dedicated UART, SPI, or I2C protocols. This flexibility supports integration into autonomous robots, drones, warehouse automation systems, and forklift tracking applications. The ±2cm precision establishes Marvelmind as a viable alternative to GPS-dependent systems in GPS-denied indoor environments, enabling autonomous navigation, personnel tracking, and asset monitoring at warehouse scale.
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