APPS
Advancing Plug & Play Smart Surveillance
Project description
At present, surveillance systems in the maritime domain consist of radar and visual sensors. Whereas radar is used to detect and track vessels, the visual sensors are used for securing borders in and around large infrastructures as e.g. along a coast or in a harbour. These sensors are never used in conjunction in their full capacity and have severe limitations. Radar is only capable of detecting large vessels without getting details about the type and identity, whereas visual sensors are too static and hamper 3D capabilities. Therefore, future surveillance systems will differ significantly from today’s systems in several important ways by exploiting the benefits of different sensor modalities. They will integrate high-quality (HD and 3D video), multi-sensory data inputs taken from multiple viewpoints, exchange multi-streamed data between subsystems and take action in a plug-and-play fashion, whereby the multidimensional data is analysed in realtime. This will place unprecedented demands on networks for high-capacity, low-latency, and low-loss communication paths. The APPS project will contribute to this transition by advancing the state-of-the-art in surveillance systems in three key areas:
(1) it will enable the development of plug & play solutions;
(2) it will enhance the sensor processing and intelligent decision-making capabilities and intelligent operator aids of such systems to achieve smart surveillance in large spaces such as coastal areas and harbours with critical infrastructures; and
(3) it will develop a robust communication layer over heterogeneous technologies.
Republic of Korea
GMT
Republic of Korea
Spain
The Netherlands
Eindhoven University of Technology
The Netherlands
Microflown AVISA ~
The Netherlands
Microflown Maritime
The Netherlands
Siqura B.V.
The Netherlands
Thales
The Netherlands
ViNotion BV
The Netherlands
Türkiye
Project publications
- APPS Project results leaflet Project Leaflet 07 May 2018 Download
- End-user happiness APPS Magazine article Issue 32 (March 2019) Download
- APPS Exploitable Results by Third Parties Exploitable Results 29 November 2017
- ITEA Annual report 2013 published online News item 09 April 2014
- Four awarded ITEA projects create big impact and a better society in different ways News item 29 May 2018
- AI applications in ITEA lead to better care, traffic flow and safety News item 24 February 2020
- Camera-based solution from ViNotion can be used to help prevent the spread of the coronavirus News item 30 April 2020
- Artificial Intelligence, a hype or a bit more? Blog post 07 March 2019
Work package documents
- APPS - Exploitable Results by Third Parties Work package document 28 November 2017
- APPS - Ontology Work package document 28 November 2017
- D2.1. APPS - State of the Art Work package document 21 July 2015
- D2.1. APPS - State of the Art Work package document 10 December 2015
- D2.1. APPS - State of the Art Work package document 18 October 2016
- D8.2. APPS - Dissemination and Exploitation Plan Work package document 10 August 2015