Page 69 - tech fest 2025 ב״ש חוברת תקצירים

Identification and Classification of Unmanned Aerial Vehicles
EEE-B-02
Amitay Mazuz; mazuzinio12@gmail.com
Advisor: Mr. Amit Twik
SCE - Shamoon College of Engineering, Be’er-Sheva
The detection and classification of unmanned aerial vehicles (UAVs) has become increasingly important for security applications. This project focused on developing a real-time system capable of detecting and classifying UAVs in dynamic environments. By leveraging advanced image processing and machine learning techniques, a solution was implemented to address various detection challenges, including those related to changes in environmental conditions. The system was optimized to balance detection accuracy, processing speed, and resource utilization. The final product demonstrated the effectiveness of the proposed solution in real-world scenarios, offering a robust tool for monitoring sensitive airspaces and enhancing security operations.
Keywords: image processing, machine learning, security systems, UAV detection, UAV classification
Analyzing MCS Electrochemical Sensors Using Easy Scan 2 Flex AFM
EEE-B-03
Noam Gafter; noamgaf@gmail.com Ofek Cohen; ofekcohen97@gmail.com
Advisor: Dr. Moshe Zohar
SCE - Shamoon College of Engineering, Be’er-Sheva
Heavy-metal contamination in water presents a serious environmental and health hazard, with cadmium, lead, and copper among the most toxic metals even at low concentrations. This project focused on the development of an advanced electrochemical sensor for the detection and quantification of these metals using dip-pen nanolithography (DPN), a precise nanoscale fabrication method. The sensor's surface morphology was characterized using atomic-force microscopy (AFM), and its performance was evaluated using square-wave voltammetry (SWV). The sensor demonstrated excellent sensitivity, selectivity, and cost-efficiency, enabling accurate detection of heavy metals at ppb-ppt levels. This makes it suitable for real-time environmental monitoring and contributes to efforts aimed at ensuring safe water quality worldwide.
Keywords: AFM, DPN, electrochemical sensor, heavy metals, SWV, water quality monitoring
Book of Abstracts | 2025
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