PORTABLE CYBERDECK
An offline tactical terminal that fuses radio frequency awareness with spatial vision. With a built-in RF scanner (RTL-SDR), depth-sensing camera, and a custom keyboard — all powered by Rasberry Pi.
Created on 6th April 2025
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PORTABLE CYBERDECK
An offline tactical terminal that fuses radio frequency awareness with spatial vision. With a built-in RF scanner (RTL-SDR), depth-sensing camera, and a custom keyboard — all powered by Rasberry Pi.
The problem PORTABLE CYBERDECK solves
The Portable Cyberdeck is designed to address a critical gap in field intelligence: the inability to monitor and correlate radio frequency activity with real-time environmental awareness in offline or remote conditions. In scenarios like disaster zones, search and rescue operations, or remote field exploration, professionals often lack access to centralized data, internet connectivity, or bulky, multi-device setups. This leads to slower situational assessment, safety risks, and missed critical signals in the environment.
Traditionally, tasks like detecting emergency beacons, tracking signal interference, or observing real-world surroundings require separate tools—RF analyzers, satellite receivers, handheld cameras, or even laptops. These setups are not only cumbersome but also impractical in field scenarios where space, power, and speed matter. Our cyberdeck condenses all of this into a single, compact unit—combining a Raspberry Pi, RTL-SDR for radio signal detection, OAK-D Lite for object tracking and depth perception, and a custom-built keyboard for direct control.
The device enables users to visually observe anomalies in the radio spectrum in real time, while simultaneously scanning the environment for people, movement, or objects using the depth-sensing AI camera. This unique fusion of “signal + sight” allows, for example, a rescuer to detect a radio distress spike and instantly correlate it with a person detected nearby—without needing any internet or cloud connection. In urban settings, it can be used to scan for unauthorized transmissions or visually monitor high-risk areas. In wildlife research, it allows biologists to detect animal collar beacons and visually track motion from a safe distance.
Challenges we ran into
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Integrating Multiple Hardware Components
Getting the Raspberry Pi to reliably work with the RTL-SDR dongle, the OAK-D Lite camera, a mini display, and our custom keyboard all at once was more complicated than expected. Each device had its own power requirements, drivers, and USB bandwidth demands.
We resolved this by using a powered USB hub and optimizing startup scripts to ensure correct initialization order. -
USB Bandwidth Conflicts
OAK-D Lite and RTL-SDR both require high-speed USB communication. When used together, we encountered issues with bandwidth choking and device crashes.
We mitigated this by reducing frame rates for the depth camera when signal scanning was active, and by scheduling device usage in separate threads. -
Display Resolution and Interface Clashes
The mini display had limited resolution and needed framebuffer adjustments. Some interfaces wouldn't scale correctly or caused lag.
We switched to lightweight UIs using curses or SDL, and optimized visuals for low-res output.
Tracks Applied (1)
