aspg-18-2916-1792589333 20261021132853 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2024 13 2 Vikash Kumar Singh Principal Software Engineer, IT, Societe Generale, India Durga Sivashankar Technical Lead, IT, Siemens Healthineers, India Siddharth Sriram Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India Manish Nagpal Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103 India Warish Patel Associate Professor, Department of Computer Science and Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India Shweta Loonkar Assistant Professor, Department of ISME, ATLAS SkillTech University, Mumbai, Maharashtra, India This research introduces a novel and comprehensive framework for digital forensics-based crime scene interpretation. The proposed framework comprises five algorithms, each serving a distinct purpose in enhancing image quality, extracting features, matching, and constructing a database, recognizing, and reconstructing objects in 3D, and conducting context-aware analysis. An ablation study validates the necessity of each algorithmic step. The framework consistently outperforms existing methods in terms of accuracy, precision, recall, and processing time. A detailed comparative analysis of parameters further highlights its cost-effectiveness, moderate complexity, superior data integration, and scalability. Visualizations underscore its dominance across multiple metrics and parameters, positioning it as an advanced solution for digital forensic-based object recognition in crime scene interpretation. 2024 08 24 2916 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.130201 https://www.americaspg.com/journal/18/article/2916 https://www.americaspg.com/storage/91719334590.pdf