SEARCH RESULT

Non-Line of Sight (NLOS) imaging is an advanced computational imaging technique that utilizes indirect light reflections to detect objects obscured by obstacles. This approach is particularly significant in critical applications such as search and rescue operations, surveillance, and detecting living beings trapped under debris in post-disaster scenarios. Unlike conventional imaging systems, which capture photons reflected directly from visible objects, NLOS systems reconstruct hidden objects by analyzing secondary reflections. However, current NLOS methods often involve high computational complexity, require expensive hardware, and are sensitive to environmental variations, leading to various limitations in practical applications. This study proposes an innovative approach for detecting living beings beyond the Non-Line of Sight using laser signals. In the proposed system, photons emitted from a laser light source strike a hidden object via a reflective surface and are subsequently collected back from the reflective surface as primary and secondary signals. The obtained reflection signals undergo preprocessing steps before being analyzed for vitality detection. Within the scope of this study, laser reflection signals were collected from human subjects located outside the field of view as well as from various inanimate materials, thereby enabling the differentiation between living and non-living entities. Experimental studies conducted on human subjects demonstrated that the system operates with an accuracy of 76% and is capable of detecting living beings beyond the Non-Line of Sight. The NLOS human detection system based on laser signals is evaluated as a promising approach for emergency response applications.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Nevzat OLGUN Mücahit ÇALIŞAN İbrahim TÜRKOĞLU