Gunshot Audio Analysis for Firearm Type Detection Using Machine Learning Algorithms
| dc.contributor.author | KIUNG DE KAI | |
| dc.date.accessioned | 2026-04-09T01:17:53Z | |
| dc.date.issued | 2025 | |
| dc.description | Current gunshot detection systems primarily focus on identifying the presence of gunfire but lack the ability to classify the specific type of firearm. This thesis presents a machine learning-based system designed to classify firearm types based on gunshot audio recordings. A dataset consisting of 851 gunshot recordings across eight firearm classes was used. 108-dimensional feature vector comprising Mel-frequency cepstral coefficients (MFCCs), Chroma, Spectral Contrast, Zero-Crossing Rate (ZCR), Energy, and Spectral Bandwidth. The features were normalized and used to train three classification models: Support Vector Machine (SVM), k-Nearest Neighbors (kNN), and Convolutional Neural Network (CNN). Each model was optimized using grid search with 5-fold stratified cross-validation. Experimental results showed that the SVM achieved an accuracy of 93.26%, while both the kNN and CNN models achieved higher accuracies of 96.77%. A web-based application was developed using Django, allowing users to upload gunshot audio and select a preferred model for real-time firearm classification. Although the system performs effectively on the curated dataset, its accuracy decreases when applied to real-world audio samples, indicating the need for improved generalizability. This project demonstrates the potential of machine learning for firearm identification from audio signals and provides a functional prototype contributing to intelligent surveillance and public safety technologies. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/343 | |
| dc.language.iso | English | |
| dc.publisher | Universiti Malaysia Sarawak (UNIMAS) | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.subject | Audio pre-processing, firearm identification, gunshot audio classification, machine learning, public safety | |
| dc.title | Gunshot Audio Analysis for Firearm Type Detection Using Machine Learning Algorithms | |
| dc.type | Final Year Project |