Search Results - subject:"Object Detection"

Logistics hub surveillance : optimizing YOLOv3 training for ai-powered drone systems

Tepteris, Georgios; Mamasis, Konstantinos; Minis, Ioannis - In: Logistics 9 (2025) 2, pp. 1-26

hyperparameters of the YOLOv3 model to improve high-altitude object detection. Typically, the tuning process requires significant …

Persistent link: https://www.econbiz.de/10015437534

A comprehensive evaluation of face recognition software : balancing total cost of ownership, accuracy and speed

Tirana, Kledia - In: Agora international journal of economical sciences 18 (2024) 1, pp. 240-249

As face recognition technology continues to play a pivotal role in various domains, selecting an optimal software solution becomes imperative. This paper thoroughly analyzes face recognition algorithms, emphasizing a holistic assessment of implementing them that includes the overall cost of...

Persistent link: https://www.econbiz.de/10015554363

A review of deep learning approaches in waste detection and classification

Brijesh, G. N.; Vijay Kumar, S.; Kiran, M. C.; Prashanth, N. - In: Industry 5.0 : a new revolution through human-centric …, (pp. 239-259). 2025

Persistent link: https://www.econbiz.de/10015421648

TOPSIS method applied to the choice of the ideal object detection algorithm for an educational mobile application

Ramos, André de Jesus Araújo; Seruffo, Marcos C. da R.; … - In: International journal of management and decision making … 23 (2024) 2, pp. 252-264

Persistent link: https://www.econbiz.de/10015067112

Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern

Zschech, Patrick; Sager, Christoph; Siebers, Philipp; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2020) 2, pp. 321-342

Die Qualitätssicherung bei der Produktion von Solarzellen ist ein entscheidender Faktor, um langfristige Leistungsgarantien auf Solarpanels gewähren zu können. Die vorliegende Arbeit leistet hierzu einen Beitrag zur automatisierten Fehlererkennung auf Wafern, indem Elektrolumineszenz-Bilder...

Persistent link: https://www.econbiz.de/10014503885

Computer vision in reusable container management : requirements, conception, and data acquisition

Ziegler, Cedric C.; Ising, Julia; Dobhan, Alexander; … - In: Mobility in a globalised world 2022, (pp. 107-122). 2023

Persistent link: https://www.econbiz.de/10014425650

Methodology for generating synthetic labeled datasets for visual container inspection

Delgado, Guillem; Cortés, Andoni; García, Sara; Loyo, … - In: Transportation research / E : an international journal 175 (2023), pp. 1-19

Persistent link: https://www.econbiz.de/10014381983

Visual saliency modeling with deep learning : a comprehensive review

Abraham, Shilpa Elsa; Kovoor, Binsu C. - In: Journal of information & knowledge management : JIKM 22 (2023) 2, pp. 1-59

Persistent link: https://www.econbiz.de/10014387868

Seeing is believing? : data mining to create a choice-based conjoint approach for restaurant mobile marketing

Liu, Sijun; Wei, Chunhao; Kalgotra, Pankush; Cobanoglu, … - In: International journal of hospitality management 104 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10013255963

Analyzing students' attention by gaze tracking and object detection in classroom teaching

Xu, Hui; Zhang, Junjie; Sun, Hui; Qi, Miao; Kong, Jun - In: Data Technologies and Applications 57 (2023) 5, pp. 643-667

based on gaze tracking and object detection. In particular, the proposed attention analysis model does not depend on any … predict the gazing objects by combining the results of gazing point estimation and object detection. Finally, the personalized …, this paper focuses on analyzing students' attention by gaze tracking and object detection in classroom teaching, which is …

Persistent link: https://www.econbiz.de/10014712756