310: Jamming Resistant Camera System

Members of Team 310 left to right: Noah Conley, John Dykstra, Jaylan Howell, Austin Onyebueke, Zuberi Sobers, Mark Yearwood

Wireless security cameras are widely used for monitoring homes, businesses, and public spaces, but many systems fail when wireless signals are disrupted by jamming. Wi-Fi jamming occurs when strong interfering signals block normal communication, causing cameras to disconnect or stop recording, creating serious security risks where continuous monitoring is needed. We designed and built a jamming-resistant Wi-Fi camera system that could detect interference and continue operating during an attack.

We used embedded software to control camera system operations. During testing, we used a small device to create wireless interference simulating a jamming attack. The system monitored the wireless connection for changes such as weak signals or dropped connections to identify possible jamming. When we detected interference, the camera automatically switched to a safe mode and saved video footage locally so no important data was lost.

We developed software to manage detection, system response, and data logging. Testing showed that the camera continued recording and saved video footage during multiple jamming scenarios. Logged data allowed us to review system performance after each test.

This project demonstrates that Wi-Fi camera systems could be made more reliable through intelligent detection and response techniques. The final design shows potential for use in security applications where uninterrupted surveillance is important.

Noah Conley, John Dykstra, Jaylan Howell, Austin Onyebueke, Zuberi Sobers, Mark Yearwood
Abdulrahman Takiddin, Ph.D.
Department of Electrical and Computer Engineering
Spring