Abstract: Hyperspectral anomaly detection (HAD) aims to recognize a minority of anomalies that are spectrally different from their surrounding background without prior knowledge. Deep neural networks ...
Abstract: Accurate localization of picking points and depth estimation is critical for implementing a robotic strawberry harvesting system. Due to the delicate nature of strawberries, harvesting must ...
This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...
Presentation Attack Detection (PAD) systems rely on analyzing facial dynamics, particularly the movement of eyes and mouth regions, to distinguish between live faces and spoofing attempts. Face mask ...