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

J.I. Olszewska

doi:10.5220/0008354804350441

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

J.I. Olszewska

School of Computing, Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

283 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
Publisher	SciTePress
Pages	435-441
Number of pages	7
Volume	2
ISBN (Print)	9789897583827
DOIs	https://doi.org/10.5220/0008354804350441
Publication status	Published - 30 Sept 2019
Event	11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna, Austria Duration: 17 Sept 2019 → 19 Sept 2019 http://www.keod.ic3k.org/?y=2019

Conference

Conference	11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Abbreviated title	KEOD 2019
Country/Territory	Austria
City	Vienna
Period	17/09/19 → 19/09/19
Internet address	http://www.keod.ic3k.org/?y=2019

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0008354804350441Licence: CC BY-NC-ND

2019 07 18 Olszewska D7-R4 finalFinal published version, 638 KBLicence: CC BY-NC-ND

Testing Intelligent Vision Systems
Joanna Olszewska
25/06/21
1 item of Media coverage
Press/Media: Expert Comment

Joanna Olszewska
- School of Computing, Engineering and Physical Sciences - Lecturer
Person: Academic

Cite this

@inproceedings{a0f8fa68ff2e45979014069e73e110d5,

title = "D7-R4: software development life-cycle for intelligent vision systems",

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.",

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",

author = "J.I. Olszewska",

year = "2019",

month = sep,

day = "30",

doi = "10.5220/0008354804350441",

language = "English",

isbn = "9789897583827",

volume = "2",

pages = "435--441",

booktitle = "Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD",

publisher = "SciTePress",

address = "Portugal",

note = "11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, KEOD 2019 ; Conference date: 17-09-2019 Through 19-09-2019",

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Olszewska, JI 2019, D7-R4: software development life-cycle for intelligent vision systems. in Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD. vol. 2, SciTePress, pp. 435-441, 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vienna, Austria, 17/09/19. https://doi.org/10.5220/0008354804350441

D7-R4 : software development life-cycle for intelligent vision systems. / Olszewska, J.I.

Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD. Vol. 2 SciTePress, 2019. p. 435-441.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - D7-R4

T2 - 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

AU - Olszewska, J.I.

PY - 2019/9/30

Y1 - 2019/9/30

N2 - 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.

AB - 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.

KW - Expert systems

KW - Intelligent vision systems

KW - Intelligent agents

KW - Intelligent robotics

KW - Autonomous systems

KW - Machine vision

KW - Human-machine cooperation

KW - Cybernetics

KW - Software engineering

KW - Software-hardware design

KW - Software development life-cycle

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M3 - Conference contribution

SN - 9789897583827

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BT - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD

PB - SciTePress

Y2 - 17 September 2019 through 19 September 2019

ER -

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

Abstract

Conference

Keywords

UN SDGs

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Testing Intelligent Vision Systems

Profiles

Joanna Olszewska

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