Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: River Information Services

Sortuj według:

Ogranicz wyniki do:

The River Information System (RIS) as an Innovation in the Transport System

Niedzielski Piotr, Durajczyk Piotr

Safety & Defense

2022

53--61

Inland shipping is one of the most neglected transport modes in Eastern Europe. Despite its indisputable advantages, such as the ability to transport goods of high weight and volume at the lowest unit transportation cost, low environmental impact and thus the lowest external costs, inland shipping does not play a significant role as a transport branch in many countries of the European Union. This is primarily due to the poor condition of the waterway infrastructure, the maintenance of which has not been properly financed for decades. In the public’s opinion, IWT is often considered an outdated form of transportation that does not meet the current needs of the transportation market. This article aims to indicate that the RIS system is an important tool for managing inland waterways and inland shipping. Therefore, it is also an important innovation which can redefine the role of IWT in the transport system. RIS can contribute to improving the logistic systems and transport safety. The literature analysis, descriptive statistics and taxonomic analysis were carried out to present the importance of the RIS system and its innovativeness. The study contributes to the discussion on the impact of modern information services and IT-tools on inland shipping and its role in modern transport systems. Inland waterborne transport is the missing mode, which could supplement the infrastructure deficits, and with the use of the RIS system, interconnect inland shipping into the transportation chains.

On-water video surveillance: data management for a ship identification system

Popik Adrian, Zaniewicz Grzegorz, Wawrzyniak Natalia

Zeszyty Naukowe Akademii Morskiej w Szczecinie

2019

nr 60 (132)

56--63

Video surveillance on both marine and inland waters still only plays a mainly auxiliary role in vessel traffic observation and management. The newest technical achievements in visual systems allow camera images to be used in more sophisticated tasks, such as automatic vessel recognition and identification in observed areas. With the use of deep learning algorithms and other artificial intelligence methods, such as rough sets and fuzzy sets, new functions can be designed and implemented in monitoring systems. In this paper the challenges that were encountered and the technology that has been developed in managing video streams are presented as well as the images needed for tests and proper operation of the designed Ship Recognition and Identification System (SHREC). The current technologies, typical setups and capabilities of cameras, with regard to existing on-water video monitoring systems, are also presented. The aspects of collecting the test data in the Szczecin Water Junction area are also described. The main part of the article focuses on presenting the video data pre-processing, storing and managing procedures that have been developed for the purposes of the SHREC system.