Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2916 2019 2019 Principal Software Engineer, IT, Societe Generale, India Vikash Vikash Technical Lead, IT, Siemens Healthineers, India Durga Sivashankar Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India Siddharth Sriram Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103 India Manish Nagpal Associate Professor, Department of Computer Science and Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India Warish Patel Assistant Professor, Department of ISME, ATLAS SkillTech University, Mumbai, Maharashtra, India Shweta Loonkar 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 2024 08 24 10.54216/JISIoT.130201 https://www.americaspg.com/articleinfo/18/show/2916