Szczegóły publikacji
Opis bibliograficzny
Recognition of utility meter readings using computer vision algorithms / Mykhaylo Melnyk, Marian BANAŚ, Olena Stankevych, Anastasiia Mirovska // W: CADMD 2025 [Dokument elektroniczny] : proceedings of the XXXIII International Conference CAD in Machinery Design. Implementation and Educational Issues : Białystok, Poland, 11-13 December, 2025. — Wersja do Windows. — Dane tekstowe. — [Białystok : Faculty of Electrical Engineering Białystok University of Technology], [2025]. — S. 31. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://cadmd.lpnu.ua/doc/CADMD_2025_Proceeding.pdf [2026-01-20]. — Bibliogr. s. 31, Abstr.
Autorzy (4)
- Melnyk Mykhaylo
- AGHBanaś Marian
- Stankevych Olena
- Mirovska Anastasiia
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165547 |
|---|---|
| Data dodania do BaDAP | 2026-02-20 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Politechnika Białostocka |
Abstract
This paper presents a resource-efficient algorithm for automatic detection of meter reading areas and image preprocessing, intended for deployment on mobile devices. Cascade computer vision architecture is proposed to address three distinct meter categories: high-contrast mechanical, segmented mechanical, and LCDs. The method performs distortion correction and artifact filtration. By transmitting only verified and normalized regions of interest, this approach minimizes server load and ensures compatibility with low-end hardware.
