Daniel Plotkin
Electrical Engineering student currently developing an optimized gunshot detection system. This system integrates ESP32-based acoustic sensors for gunshot detection and employs Raspberry Pi for Time Difference of Arrival (TDoA) based source localization. By leveraging machine learning through Edge Impulse, he aims to improve detection accuracy and minimize false positives. With expertise in embedded systems, signal processing, and wireless communication, Daniel aims to enhance real-time threat detection for public safety applications. Their research focuses on improving localization accuracy and system efficiency for deployment in law enforcement, smart cities, and defense applications.
Email: Dplotk01@nyit.edu