Výsledky vyhledávání - "3D depth camera"

Akademický článek

Collision Avoidance Route Planning for Autonomous Medical Devices Using Multiple Depth Cameras

Autor: Mohd Mahmeen, Raul David Dominguez Sanchez, Michael Friebe, Maciej Pech, Sultan Haider

Publikováno v: IEEE Access, Vol 10, Pp 29903-29915 (2022)

Radiography is one of the most widely used imaging techniques in the world. Since its inception, it has continued to evolve, leading to the development of intelligent and automated radiography systems that are able to perceive parts of their environm

Externí odkaz: https://doaj.org/article/2a31e33f627e4e8a956095d6c2cac8ac

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Akademický článek

AN AUTOMATIC DETECTION METHOD FOR ABNORMAL LAYING HEN ACTIVITIES USING A 3D DEPTH CAMERA

Autor: Xiaodong Du, Guanghui Teng

Publikováno v: Engenharia Agrícola, Vol 41, Iss 3, Pp 263-270 (2021)

ABSTRACT With the increasing scale of farms and the correspondingly higher number of laying hens, it is increasingly difficult for farmers to monitor their animals in a traditional way. Early warning of abnormal animal activities is helpful for farme

Externí odkaz: https://doaj.org/article/e0776c25299941c088368bfd7d6a44eb

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AN AUTOMATIC DETECTION METHOD FOR ABNORMAL LAYING HEN ACTIVITIES USING A 3D DEPTH CAMERA

Autor: Guanghui Teng, Xiaodong Du

Publikováno v: Engenharia Agrícola, Vol 41, Iss 3, Pp 263-270 (2021)
Engenharia Agrícola v.41 n.3 2021
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola, Volume: 41, Issue: 3, Pages: 263-270, Published: 25 JUN 2021

With the increasing scale of farms and the correspondingly higher number of laying hens, it is increasingly difficult for farmers to monitor their animals in a traditional way. Early warning of abnormal animal activities is helpful for farmers’ fas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa4412e38ca31dfc9916021ea9cfb16
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000300263&tlng=en

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Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever

Autor: Harry Wooseuk Ryu, Joo Ho Tai

Publikováno v: Journal of Veterinary Science

Background Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection ai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c39c35500052cf6e48221fa15965f27c
http://europepmc.org/articles/PMC8799950

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Deep learning based secure face recognition with 3D depth camera

Autor: Yıldız, Sedat

Derin öğrenme ile yüz tanıma teknikleri, son yıllarda çok hızlı gelişim gösteren ve günlük hayatta pek çok alanda uygulaması olan bir araştırma konusudur. Suçluların takip edilmesi, personellerin şirkete giriş çıkış takibi gib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9458::5d068d90c39cfd19f97b77b865d9ef22
http://hdl.handle.net/11452/18370

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Collision avoidance in human-robot interaction using kinect vision system combined with robot’s model and data

Autor: Mourad Benoussaad, Hugo Nascimento, Martin Mujica

Publikováno v: Proceedings of 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2020, Las Vegas, United States. pp.10293-10298, ⟨10.1109/IROS45743.2020.9341248⟩
IROS

International audience; Human-Robot Interaction (HRI) is a largely ad-dressed subject today. Collision avoidance is one of main strategies that allow space sharing and interaction without contact between human and robot. It is thus usual to use a 3D

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5def59dc9d1d9206475925d1c8fb71
https://hal.archives-ouvertes.fr/hal-03223180/document

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Creating a Worker-Individual Physical Ability Profile Using a Low-Cost Depth Camera

Autor: Brosche, Justus, Wackerle, Hannes, Lödding, Hermann

Publikováno v: Proceedings of the Conference on Production Systems and Logistics : CPSL 2020
1st Conference on Production Systems and Logistics: (2022)

Assembly workers suffer from long-term damage performing physically intensive tasks due to workstations that are not ergonomically designed for the individual’s needs. Current approaches towards ergonomic improvements of workstations only assess th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94f2fb589e757a25ec3b7331c2f49add
https://www.repo.uni-hannover.de/handle/123456789/9724

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