Active imaging system based on infrared laser line synchronous scanning

Abstract

Object recognition poses a critical challenge for firefighters' search and reconnaissance equipment in smoky environments. Indeed, the absorption and scattering of smoke particles are the primary obstacles hindering recognition. This paper proposes an infrared laser line synchronous imaging system (ILLS) to improve the degradation of images. Firstly, the classical Mie scattering theory background is introduced. Then, the principles and components of ILLS are introduced. Finally, the contrast experiment is conducted on the imaging performance of LED floodlighting, Infrared (IR), and ILLS under different smoke visibility levels, illustrating each experiment step. The results demonstrate that the ILLS system performs excellently compared to other imaging methods under different smoke visibility levels. In the analysis of object image contrast (C), ILLS achieves contrast enhancements of 3.0 and 7.0 times compared to IR and LED at the visibility of 0.8 m, respectively. In evaluating the Mean Squared Error (MSE) for the object image, ILLS exhibits a deviation compared to IR of greater than or equal to 20%, regardless of visibility. ILLS effectively improve the challenge of image degradation due to severe backscattering of particles and provide sufficiently accurate solutions for engineering applications.