Simplified tracking infrastructure.
Our hardware and software engineering teams build accessible coordinate extraction solutions, lowering costs for high-precision physical telemetry.
High-Frequency IoT Sensors
We assemble and design lightweight trackers worn inside player vests. Utilizing local LoRaWAN and UWB networks, we feed training analytics in real-time, eliminating cellular data subscriptions and complex antennas.
- Integrated IMU Modules: Multi-axis accelerometers and gyroscopes mapping jumps, impacts, and directional shifts.
- Low Latency Feed: Local radio relays ensuring overall latencies stay below 100ms.
- Battery Optimization: Dedicated firmware routines securing up to 12 hours of active monitoring on a single charge.
IoT Wearable R&D Approach
We prototype and program our own tracking units. By managing the schematics and firmware directly, we adapt filter values to minimize interference and signal loss over typical sports turf layouts, bypassing typical limitations of standard consumer modules.
Optical Tracking R&D Approach
Our vision algorithms utilize planar homography equations to resolve coordinate projections from amateur-grade cameras, letting leagues and academies capture tactical tracking profiles without expensive camera rigs.
Optical Ingestion via Computer Vision
When physical vest trackers are not permitted or unavailable, we process standard tactical videos, drone feeds, or broadcast footage to extract coordinate matrices.
- Neural Segmentation: Deep learning architectures segmenting uniforms and managing player IDs during crowded crossings.
- Coordinate Mapping: Projective homography converting pixel trajectories into real metric pitch grids.
- Simple Ingestion: Cloud processing portal for asynchronous match uploads and report generation.