Machine vision transparency

Joanna Isabelle Olszewska

Machine vision transparency

Joanna Isabelle Olszewska

Research output: Contribution to conference › Presentation › peer-review

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Abstract

Machine vision systems become pervasive in our society, from industrial to human-centered applications. Therefore, such intelligent vision systems, which automatically process visual inputs such as raw still images, live video feeds, etc., must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.

Original language	English
Publication status	Published - 24 Sept 2020
Event	ITEN Webinar - Online Duration: 24 Sept 2020 → … https://iten.ieee-ies.org/upcoming-online-webinar/2020/machine-vision-transparency/

Conference

Conference	ITEN Webinar
Period	24/09/20 → …
Internet address	https://iten.ieee-ies.org/upcoming-online-webinar/2020/machine-vision-transparency/

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 16 Peace, Justice and Strong Institutions

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2020 07 27 Olszewska Machine PowerpointFinal published version, 349 KB

https://iten.ieee-ies.org/upcoming-online-webinar/2020/machine-vision-transparency/

Cite this

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title = "Machine vision transparency",

abstract = "Machine vision systems become pervasive in our society, from industrial to human-centered applications. Therefore, such intelligent vision systems, which automatically process visual inputs such as raw still images, live video feeds, etc., must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.",

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year = "2020",

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day = "24",

language = "English",

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TY - CONF

T1 - Machine vision transparency

AU - Olszewska, Joanna Isabelle

PY - 2020/9/24

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N2 - Machine vision systems become pervasive in our society, from industrial to human-centered applications. Therefore, such intelligent vision systems, which automatically process visual inputs such as raw still images, live video feeds, etc., must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.

AB - Machine vision systems become pervasive in our society, from industrial to human-centered applications. Therefore, such intelligent vision systems, which automatically process visual inputs such as raw still images, live video feeds, etc., must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.

UR - https://iten.ieee-ies.org/upcoming-online-webinar/2020/machine-vision-transparency/

M3 - Presentation

T2 - ITEN Webinar

Y2 - 24 September 2020

ER -

Machine vision transparency

Abstract

Conference

UN SDGs

Access to Document

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