| DC Field | Value | Language |
|---|
| dc.contributor.author | Nurlyyeva, М. Н. | - |
| dc.contributor.author | Sharipova, J. Sh. | - |
| dc.contributor.author | Akiyev, N. B. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-04-14T07:28:29Z | - |
| dc.date.available | 2025-04-14T07:28:29Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Nurlyyeva, М. Н. Face tracking with automatic age and gender detection / M. H. Nurlyyeva, J. Sh. Sharipova, N. B. Akiyev // Технические средства защиты информации : материалы ХXIII Международной научно-технической конференции, Минск, 08 апреля 2025 года / Белорусский государственный университет информатики и радиоэлектроники [и др.] ; редкол.: О. В. Бойправ [и др.]. – Минск, 2025. – С. 26–29. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/59495 | - |
| dc.description.abstract | This article examines face recognition technology with automatic age and gender detection. It describes the main algorithms and methods used in this field, including machine learning and computer vision. Particular attention is given to practical applications such as video surveillance systems, marketing, and data analysis for social statistics. The advantages, limitations, and development prospects of this technology are analyzed. the main functions and requirements of automatic threat detection and neutralization based on the tables of operation based on the functioning tables (FT) is considered. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | мachine learning | en_US |
| dc.subject | neural networks | en_US |
| dc.subject | computer vision | en_US |
| dc.subject | face recognition | en_US |
| dc.title | Face tracking with automatic age and gender detection | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ТСЗИ 2025
|
