Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis

Z Gao, J Huang, J Chen, T Shao, H Ni, H Cai - Aquaculture International, 2024 - Springer
Seaweed has attracted great attention as a healthy and nutritious food. Traditional seaweed
processing plants mainly rely on manual visual inspection to identify and remove inferior …

Flexible automation of quality inspection in parts assembly using CNN-based machine learning

M Shaloo, G Princz, R Hörbe, S Erol - Procedia Computer Science, 2024 - Elsevier
Ensuring high product quality is crucial in modern industry, as low-quality products can lead
to negative consequences like financial losses, resource wastage, and harm to a company's …

[HTML][HTML] Effect of Architecture and Inference Parameters of Artificial Neural Network Models in the Detection Task on Energy Demand

P Tomiło, P Oleszczuk, A Laskowska, W Wilczewska… - Energies, 2024 - mdpi.com
Artificial neural network models for the task of detection are used in many fields and find
various applications. Models of this kind require adequate computational resources and thus …

Aerial object detection analysis: Challenges and preliminary results

AM Polina, H Suparwito… - E3S Web of …, 2024 - e3s-conferences.org
Computer vision allows computers to retrieve information from images, videos, and other
visual inputs. Unmanned Aerial Vehicle (UAV) technology is also used to assist computer …

Artificial Intelligence in planning and control tasks: a study of potential use cases and perceived challenges in Austrian make-to-order companies

R Hörbe, S Erol - Procedia CIRP, 2024 - Elsevier
An increasing number of manufacturing companies in Austria are operating in market
niches. These companies are characterized by a high degree of specialization, particularly …

Machine Learning-Driven Maintenance Order Generation in Assembly Lines

G Princz, M Shaloo, F Reisacher, S Erol - IFAC-PapersOnLine, 2024 - Elsevier
The automatic generation of maintenance orders facilitates the prompt detection and root
cause analysis of deviations or failures in the assembly process. The aim of this project is to …

Application of deep learning algorithm in color matching automation of packaging design

H Zhang - Molecular & Cellular Biomechanics, 2024 - sin-chn.com
Color has a strong psychological implication. In today's society, ordinary consumers not only
require products to have corresponding functional uses but also seek their spiritual functions …

Creating A Python Algorithm for A Robot to Identify RGB Colours of A 2D Captured Image

A Jain, R Singh, P Kumar, R Bhakhar… - International Journal of …, 2024 - ijmre.com
Robots face many problems in identifying RGB colours in captured images, which affects
their performance in many applications. These challenges include different lighting, colour …