E-Eye: mmWave Nonlinear Response for Hidden Electronic Device Recognition

Baicheng Chen

model of instrument to detect hidden electronic devices.

A model of the instrument used to detect hidden electronic devices.

Undergraduate Student Project


The use of electronic devices to perform privacy intrusion on citizens have been a huge problem. Countless people have encountered blackmailing with their unauthorized audio and video content from hidden electronic devices in hotel rooms.

Existing electronic device detection mechanisms are non-portable, costly, and difficult to operate. To solve the problem, we need the ability to recognize hidden electronic devices under different scenarios in a cost-efficient, user-friendly, and non-invasive manner.'

We propose and develop a novel form of hidden electronic recognition that guards the safety and privacy of civilians. Using a millimeter wave probe to interrogate the environment, we can accurately detect the presence of malicious hidden electronic devices based on their non-linear response. This allows scalable application of non-invasive hidden electronic detection to aid law enforcement and personal privacy.


Hidden electronics possess the risk of both security threat and privacy intrusion. We present a wireless hidden electronic recognition system, through electronic components unique mmWave nonlinear responses to identify the threats. We then evaluate E-Eye's performance and robustness with a controlled experiment and a field study using iconic devices and score the system with metrics. Results prove that E-Eye is an accurate and robust hidden electronic recognition system.

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