Szczegóły publikacji
Opis bibliograficzny
BlurNet: keeping collected data private with a neural network based pipeline / Daniel DWORAK // W: Advanced, contemporary control : proceedings of KKA 2020 – the 20th Polish control conference : [14-16 October, 2020], Łódź, Poland / eds. Andrzej Bartoszewicz, Jacek Kabziński, Janusz Kacprzyk. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1196). — ISBN: 978-3-030-50935-4; e-ISBN: 978-3-030-50936-1. — S. 1237–1248. — Bibliogr. s. 1247-1248, Abstr. — Dod. afiliacja autora: APTIV Services Poland S. A., Kraków, Poland
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129302 |
|---|---|
| Data dodania do BaDAP | 2020-07-16 |
| DOI | 10.1007/978-3-030-50936-1_103 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Data collection process is required to keep personal information of third parties private. This mandatory obligation has been recently enforced in a growing number of countries by appropriate laws, which forbid recording certain types of data. On the other hand, machine learning solutions based on neural networks, which are used in automotive industry, require a vast amount of data to learn from. The article addresses the problem of collecting camera frames in the form of a video file, where registered pedestrian faces and vehicle license plates are visible to a degree. This allows one to associate them with a particular person, hence they contain personal data. The pipeline for object detection and blurring algorithm is proposed. Processing images is being done by proposed BlurNet neural network based on YOLOv3 architecture. The article describes adaptations for a given data format, as well as modifications to improve the accuracy. Blurring algorithm is described as well. In order to maintain sufficient level of privacy, conducted experiments provide numerical answer regarding the performance of such solution.
