Wyniki wyszukiwania - Biblioteka Nauki

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: sprzęt ochrony osobistej

Sortuj według:

Ogranicz wyniki do:

Jak uniknąć rozczarowania po odbiorze zakupionego wyrobu?

100%

Czarnecki R.

tom Nr 3

149--158

W swoim artykule autor wskazuje potencjalnym nabywcom na co należy zwracać uwagę przy zakupie sprzętu technicznego i ochron osobistych strażaka.

The article is a kind of guide how to buy fire protection equipment, what is important for potential buyer, what for should he put his attention.

A deep learning method for hard-hat-wearing detection based on head center localization

100%

Wójcik B. , Żarski M. , Książek K. , Miszczak J. A. , Skibniewski M. J.

tom Vol. 71, nr 6

art. no. e147340

In recent years, a lot of attention has been paid to deep learning methods in the context of vision-based construction site safety systems. However, there is still more to be done to establish the relationship between supervised construction workers and their essential personal protective equipment, like hard hats. A deep learning method combining object detection, head center localization, and simple rule-based reasoning is proposed in this article. In tests, this solution surpassed the previous methods based on the relative bounding box position of different instances and direct detection of hard hat wearers and non-wearers. Achieving MS COCO style overall AP of 67.5% compared to 66.4% and 66.3% achieved by the approaches mentioned above, with class-specific AP for hard hat non-wearers of 64.1% compared to 63.0% and 60.3%. The results show that using deep learning methods with a humanly interpretable rule-based algorithm is better suited for detecting hard hat non-wearers.