دورية أكاديمية

Automated Weapon Detection System in CCTV’s Through Image Processing

التفاصيل البيبلوغرافية
العنوان: Automated Weapon Detection System in CCTV’s Through Image Processing
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
الوصف
تدمد:22671242
DOI:10.1051/e3sconf/202343001055