دورية أكاديمية
Automated Weapon Detection System in CCTV’s Through Image Processing
العنوان: | Automated Weapon Detection System in CCTV’s Through Image Processing |
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المؤلفون: | Siri Dharmapuri, Bhanu Prasad Reddy Palle, Harika K.V.S.L., Ritwika S., Sisodia Shivani, Madhavi Karanam |
المصدر: | E3S Web of Conferences, Vol 430, p 01055 (2023) |
بيانات النشر: | EDP Sciences, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Environmental sciences |
مصطلحات موضوعية: | Environmental sciences, GE1-350 |
الوصف: | In our study, we aim to detect various weapons through image processing using a combination of traditional machine learning algorithms and deep learning techniques. This would prove beneficial in anticipating unusual occurrences. The utilization of Closed-Circuit Televisions (CCTVs) has become widespread in the security and surveillance industry; however, it requires constant human monitoring to extract useful information, which is both tedious and prone to errors. The base paper deals with identifying only firearms. We intend to utilize machine learning and deep learning methods to recognize different weapons automatically, not only firearms and alert the CCTV monitor to that specific area. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English French |
تدمد: | 2267-1242 |
Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01055.pdf; https://doaj.org/toc/2267-1242 |
DOI: | 10.1051/e3sconf/202343001055 |
URL الوصول: | https://doaj.org/article/6a3333516c08437b9efb43c64f031954 |
رقم الأكسشن: | edsdoj.6a3333516c08437b9efb43c64f031954 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22671242 |
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DOI: | 10.1051/e3sconf/202343001055 |