Enhancing Crime Scene Analysis
Saquib Ahmed, M. Farhanullah Khan, Bhupinder Singh, Nav Singh, Bhumika Sharma
Abstract
Conventional approaches often find it challenging to adapt to the growing complexity and data volume in crime scene analysis. The advent of artificial intelligence technologies, such as machine learning, computer vision, and natural language processing, is transforming the processing of evidence by improving efficiency, precision, and scalability. AI algorithms can swiftly analyse extensive datasets, uncovering patterns and relationships that may be overlooked by human investigators. For example, AI-driven tools enable the rapid examination of digital evidence and DNA samples, significantly alleviating backlogs in forensic laboratories. This chapter also explores the application of AI in reconstructing crime scenes through sophisticated 3D modelling techniques, which offer investigators a detailed perspective of events and enhance courtroom presentations. Additionally, the chapter addresses ethical issues related to the use of AI in forensic science, including privacy concerns, algorithmic bias, and the importance of human oversight.