Year: 2024
Type: article
Abstract: VIEXPAND -Industrial Video for Expanded Vision in Remote Operations IntroductionReal-time smart supervision involves using advanced technologies, data analytics, and automation to monitor, control, and optimize industrial processes.This is aligned with the fundamental principles of Lean Manufacturing [1] -reducing waste, increasing efficiency, and continuously improving processes.First, it allows for immediate detection of inefficiencies and waste, enabling quick response and adjustments to maintain smooth flow and reduce delays.Second, it reduces the need for manual interventions, minimizing human error, and ensuring consistent and predictable process execution.Finally, it can predict equipment failures before they occur, allowing for proactive maintenance, reducing downtime and ensuring that machinery operates at peak efficiency.Manufacturers are always looking for new ways to minimize breakdowns and failures to improve productivity and efficiency of the production process.VIEXPAND is a multiview AI-enhanced video processing and transmission system, operating in real-time, for industrial supervision, inspection, surveillance and security applications, on the road to Industry 4.0.It focuses on professional applications where remote monitoring of large industrial areas requires wide fields of view and multiple views, demanding for efficient data transmission, in real-time.This paper covers a use case in a glass bottle production industry to reduce raw material use and energy waste, increase production efficiency and improve safety of operations.
Authors: Polythecnic of Leiria, Leiria, Portugal, Carlos Ribeiro, João Gil, Twevo, Lda., Coimbra, Portugal, Xavier Bento, Twevo, Lda., Coimbra, Portugal, Monica Figueiredo, Polythecnic of Leiria, Leiria, Portugal, José Rosa, Polythecnic of Leiria, Leiria, Portugal, Ruben Antonio, Polythecnic of Leiria, Leiria, Portugal, Lino Ferrari, Polythecnic of Leiria, Leiria, Portugal, Pedro Assuncao, Polythecnic of Leiria, Leiria, Portugal
Institutions: Universidade de Leiria e Oeste, Instituto de Telecomunicações
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Award: G715306151
OpenAlex ID: W4404617709