CELLULAR SECURE VIDEO TRANSMISSION FROM AN UNMANNED AIRCRAFT Team 18049
PROJECT GOAL To design a secure communication system for unmanned aircraft using the current 4G LTE, or long-term evolution, cellular network.
TEAM MEMBERS Brock A. Berube Electrical & Computer Engineering Brandon Black Electrical & Computer Engineering Jeremy Robert Sears Electrical & Computer Engineering, Engineering Management David Wesley Stallings Electrical & Computer Engineering Chelsea Margaret Gorius Industrial Engineering COLLEGE MENTOR Claude Merrill SPONSOR MENTOR Glen Abousleman
The growing capabilities of unmanned aircraft have garnered attention from the commercial and defense industries. Demand for unmanned aircraft that can transmit data over long distances in a secure fashion is on the rise. The designed system can establish a secure connection through the user controller and a camera attached to the unmanned aircraft’s flight controller by encrypting and transmitting data over the LTE network in real time. The system can operate as long as both the user and unmanned aircraft are within range of any LTE network, no matter the distance between them. The secure encryption of both realtime video and unmanned aircraft controls limits the threat of third-party attackers learning more about the system’s operations. By connecting the camera to the unmanned aircraft controller, both video stream and commands are encrypted and decrypted over the link to the user’s control station. The system demonstrates advanced, commercially available capabilities for unmanned aircraft to transmit data to a user over unlimited range, contingent on each component being within range of popular LTE networks.
SYSTEM-ON-CHIP VIDEO ENCODING SYSTEM Team 18050
PROJECT GOAL To evaluate the performance and demonstrate the video encoding and digital signal processing capabilities of the Xilinx Zynq UltraScale+ Multi-Processor System-on-Chip, or MPSoC, device.
TEAM MEMBERS Iain Donnelly Electrical & Computer Engineering Ezra Muir Electrical & Computer Engineering Kaitlyn Akiko Oura Electrical & Computer Engineering Nicholas Carl Teves Electrical & Computer Engineering Chris Miller Industrial Engineering COLLEGE MENTOR Claude Merrill SPONSOR MENTOR Glen Abousleman
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2019 ENGINEERING DESIGN DAY
This project tests the performance of the MPSoC device by running software, consisting of an algorithm using cross-correlation, on both the MPSoC’s processing system and on a comparable device to establish a benchmark. The system demonstration uses the same algorithm to perform Wi-Fi signal detection with a peripheral software-defined radio and directional antenna. The resulting signal correlation value and received signal strength indicator, as well as video feed from a camera, are displayed on a monitor to visualize the signal strength at a specific location. The benchmark software uses math functions ported over from a C-language software library device to ensure an accurate performance comparison between the new and current systems. The benchmark software measured the total elapsed time taken to correlate one million input signals with one reference signal. The results from this test were delivered to the sponsor so it could compare the devices internally to determine if the MPSoC device should be considered for future products.