Abstract:
Current security systems such as walk through gates have an inherent loophole that they provide us with very little reaction time in case of a threat. We propose a standoff arrangement where a radar is projected at a distance (~18m) and it detects hidden objects. The standoff distance gives security personnel necessary reaction time to neutralize the threat. A tri-static configuration is used which emits micrometer waves. The emitted waves when reflected back from a subject have a varied physical orientation. The variation in physical orientation is analyzed and compared with a threshold. We use a deep learning approach in setting up a threshold for declaring the subject as threat or no-threat. Deep learning techniques help us omit background noise and thus eliminating the possibility of false positives.
