Groundbreaking Real-Time RF Situational Awareness Pipeline for Wearable AR Devices
Texas City, Texas – September 19, 2025 – Announcing the release of a pioneering research paper by faculty member Benjamin J. Gilbert, introducing RF-QUANTUM-SCYTHE (RQS), an innovative system that delivers real-time radio frequency (RF) situational awareness directly to head-mounted augmented reality (AR) displays like Google Glass. This breakthrough pipeline transforms raw RF events—such as spoofed GPS signals, broadband jamming, and surveillance probes—into actionable, glanceable overlays in under 200 milliseconds, empowering operational teams in contested environments to make faster, more informed decisions.
Designed for power-constrained wearables, RQS achieves end-to-end latency of less than 200 ms while maintaining 30–60 frames per second (FPS) through a modular architecture featuring a priority-based publish/subscribe alert bus, motion and track fusion, and adaptive overlay rendering. The system incorporates thermal awareness, dynamically throttling overlays to prevent overheating and ensure sustained performance under stress. Benchmarks demonstrate robust handling of up to 20 concurrent tracks with minimal latency spikes, making it ideal for applications in defense, emergency response, and urban navigation.
“RF-QUANTUM-SCYTHE represents a significant step forward in integrating RF sensing with wearable AR, turning potential threats into immediate, visual insights without compromising device usability,” said Benjamin J. Gilbert, the lead researcher and author from College of the Mainland. “By open-sourcing our reproducible harness, we aim to accelerate advancements in this field, enabling researchers and developers to build upon our work for real-world deployments.”
Key features of RQS include:
- Latency Budgeting: Strict per-stage targets (e.g., encoding ≤20 ms, rendering ≤80 ms) ensuring p95 latency under 165 ms.
- QoS-Enabled Alert Bus: Supports critical, threat, and background priorities with back-pressure to handle bursts without drops in high-priority classes.
- Adaptive Overlays: A PID-controlled budget model that adjusts overlay density based on FPS, thermal headroom, and event density, reporting metrics like Joules per alert.
- Reproducibility: A one-command test harness that simulates RF scenarios, exports JSON logs, and auto-generates publication-ready figures and tables.
The research addresses current limitations in RF detection on wearables, such as challenges with advanced adversaries using frequency-hopping or AI-generated modulations, and outlines future directions including edge-native machine learning acceleration. The full paper, targeting venues like MobiSys Demo/Notes and USENIX ATC, is accompanied by open-source code available at https://github.com/author/rf-quantum-scythe-glass, complete with a README for easy setup.
This development highlights College of the Mainland’s commitment to cutting-edge research at the intersection of augmented reality, RF engineering, and wearable systems.
About College of the Mainland
College of the Mainland (COM) is a public community college located in Texas City, Texas, serving mainland Galveston County. COM offers associate degrees, certificates, and workforce training programs, with a focus on student success, innovation, and community impact. For more information, visit www.com.edu.
Media Contact:
Benjamin J. Gilbert
College of the Mainland
Email: bgilbert2@com.edu
Phone: (409) 938-1211
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