D7-R4: software development life-cycle for intelligent vision systems

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Abstract

Intelligent Vision Systems (IVS) are omnipresent in our daily life from social media apps to m-health services, from street surveillance cameras to airport e-gates, from drones to companion robots. Hence, IVS encompass any software which has a visual input processed by means of algorithm(s) involving Artificial Intelligence (AI) methods. The design and development of these IVS softwares has become an increasingly complex task, since vision-based systems have evolved into (semi-)autonomous AI systems, usually requiring effective and ethical data processing along with efficient signal processing and real-time hardware/software integration as well as User Experience (UX) and (cyber)security features. Consequently, IVS system development necessitates an adapted software development life-cycle (SDLC) addressing these multi-domain needs, whilst being developer friendly. Hence, we propose in this paper a new SDLC we called D7-R4 which allows developers to produce quality, new-generation IVS to be deployed in real-time and in real-world, unstructured environments.
Original languageEnglish
Title of host publicationProceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
PublisherSciTePress
Pages435-441
Number of pages7
Volume2
ISBN (Print)9789897583827
DOIs
Publication statusPublished - 30 Sep 2019
Event11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna, Austria
Duration: 17 Sep 201919 Sep 2019
http://www.keod.ic3k.org/?y=2019

Conference

Conference11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Abbreviated titleKEOD 2019
Country/TerritoryAustria
CityVienna
Period17/09/1919/09/19
Internet address

Keywords

  • Expert systems
  • Intelligent vision systems
  • Intelligent agents
  • Intelligent robotics
  • Autonomous systems
  • Machine vision
  • Human-machine cooperation
  • Cybernetics
  • Software engineering
  • Software-hardware design
  • Software development life-cycle

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