Development of an Artificial Intelligence (AI) Based Visual Counting System for the Food Industry-Reference-Cited by-同舟云学术

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Development of an Artificial Intelligence (AI) Based Visual Counting System for the Food Industry

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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Author:

Aharari Ari¹,Kuwaduru Kaito¹,Mehdipour Farhad²

Affiliation:

1. SOJO University,Department of Computer and Information Sciences,Kumamoto,Japan

2. Otago Polytechnic – Auckland International Campus (OPAIC),Department of Information Technology,Auckland,New Zeland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164828/10164818/10165399.pdf?arnumber=10165399

Reference13 articles.

1. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy;arXiv 2020 arXiv 2004 10934,2023

2. YOLOv3: An Incremental Improvement;redmon;arXiv 2018 arXiv 1804 02767,2023

3. YOLO9000: Better, Faster, Stronger

4. Deep learning techniques—RCNN to mask R-CNN: a survey;bharati;Computational Intelligence in Pattern Recognition Proceedings of CIPR,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of an AI-driven Architecture with Cobots for Digital Transformation to Enhance Quality Control in the Food Industry;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Implementing Engineering Education Based on Posing a Riddle in Field of Instrumentation and Artificial Intelligence;2023 9th International Conference on Control, Instrumentation and Automation (ICCIA);2023-12-20

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