Collaborative real-time vision-based device for olive oil production monitoring

被引：0

作者：

Sukovic, Matija ^{[1
]}

Jovancevic, Igor ^{[1
]}

机构：

[1] Univ Montenegro, Fac Nat Sci & Math, Cetinjska 2, Podgorica 81000, Montenegro

来源：

2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024 | 2024年

关键词：

computer vision; agrifood; high-end IoT device;

D O I：

10.1109/MECO62516.2024.10577935

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an innovative approach to improving quality control of olive oil manufacturing and preventing damage to the machinery caused by foreign objects. We developed a computer-vision-based system that monitors the input of an olive grinder and promptly alerts operators if a foreign object is detected, indicating it by using guided lasers, audio, and visual cues.

引用

页码：236 / 241

页数：6

共 7 条

[1] SLICING AIDED HYPER INFERENCE AND FINE-TUNING FOR SMALL OBJECT DETECTION [J].

Akyon, Fatih Cagatay ;

Altinuc, Sinan Onur ;

Temizel, Alptekin .

2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, :966-970

[2]

[Anonymous], 2024, The Future is in Applied Artificial Intelligence (FAAI)

[3]

Buslaev A., 2018, Albumentations: fast and flexible image augmentations

[4]

Jocher G., 2023, Ultralytics yolo (version 8.0. 0)computer software

[5]

Oftedal David, 2014, Difference Hash-An algorithm for comparing images based on their visual characteristics

[6]

Pizer S M., Adaptive Histogram Equalization and Its Variations

[7] U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System: A Case of Almond and Green Onion Flake Food Process [J].

Son, Guk-Jin ;

Kwak, Dong-Hoon ;

Park, Mi-Kyung ;

Kim, Young-Duk ;

Jung, Hee-Chul .

SUSTAINABILITY, 2021, 13 (24)

← 1 →