Three-dimension Point Cloud Technology and Intelligent Extraction of Trace Evidence at the Scene of Crime

Abstract

Three-dimensional (3D) point cloud technology is a kind of high-tech for the extraction of trace evidence from crime scenes. It is also an artificial intelligence technology for criminal justice investigation and diagnosis with great development prospects. It is one of the frontier issues in the field of criminal science and technology research. The purpose of this paper is to explore and analyze how to use 3D point cloud technology to extract trace evidence of crime scenes on the basis of understanding 3D point cloud technology, and to discuss the intelligent features of 3D point cloud trace evidence extraction. The principle and characteristics of 3D point cloud technology are introduced and described by the method of comparison and example. According to the technical characteristics of laser scanning, the methods and steps of extracting trace evidence from crime scenes are designed, and the overall workflow is given. This paper analyzes the intellectualization of 3D point cloud technology for trace evidence extraction from the perspective of the fusion of technology and perception, and draws some conclusions through simple practical description. Research shows, trace evidence extraction based on 3D point cloud technology is the full embodiment of digitalization and intellectualization of crime scene investigation. Doing a good job in information collection, data sample database construction, human-computer interaction platform design, and the data and knowledge of crime scene diagnosis experience are the basis for the development of this intelligent technology. In addition, with the different characteristics of different crime scenes, the improvement and innovation of the 3D laser scanning method is also an important work in the future.