An Image-based Digital Forensic Investigation Framework for Crime Analysis

Digital Forensic Investigation (DFI) is a big field in the technological era. Technology is constantly improving and being advanced. As technology advances, criminals are also changing their crime strategies. The real criminal is brutal to be caught. DFI is a process by which we can find out the criminal by making a detailed report based on the crime scene investigations. As a result, crime is increasing day by day. Several types of research have been conducted, and a lot of research is running on this topic. However, still have some confinements in this field. In this paper, we propose an image-based DFI model for crime analysis. The main goal of this paper is to analyze the crime scene images, detect suspicious objects efficiently and reduce crimes using the DFI process. Moreover, we use object detection algorithms (e.g., Faster R-CNN, R-CNN, and SSD), image enhancement techniques, and sharpening filters for low-quality images. Furthermore, the authors assess the performance of the framework using various metrics ( $e$ . $g$ ., Accuracy, Precision, Recall, and F1 Score).