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دسته بندی:
بینایی ماشین - Machine vision
سال انتشار:
2022
عنوان انگلیسی مقاله:
Computer vision for package tracking on omnidirectional wheeled conveyor: Case study
ترجمه فارسی عنوان مقاله:
بینایی کامپیوتری برای ردیابی بسته در نوار نقاله چرخدار همه جهته: مطالعه موردی
منبع:
ScienceDirect- Elsevier- Engineering Applications of Artificial Intelligence, 116 (2022) 105438: doi:10:1016/j:engappai:2022:105438
نویسنده:
Mohamed E. El-sayed a, Arsany W. Youssef a, Omar M. Shehata b, Lamia A. Shihata c, Eman Azab
چکیده انگلیسی:
In this paper, a real-time camera tracking system for package transportation on omnidirectional wheeled
conveyor is presented. The camera tracking system is integrated with a closed-loop controller for packages
path planning. No additional sensors are used for the controller implementation, only a 2-D Camera. The
package’s position and orientation are detected by the camera tracking system in real-time. Two proposed
systems are presented, System I is implemented using the conventional image processing technique threshold
method while System II is implemented using computer vision. In System II, three computer vision models
were evaluated: Detectron2, YOLOv5 and Faster R-CNN. Experimental results in real-time show that System
I have lower accuracy rate 85.7% compared to System II which reported 98% and 88.1% for YOLOv5 and
Detectron2, respectively. YOLOv5 reported the best results among the computer vision models with 1% missing
rate, 45.5 FPS and average precision of 99.8%.
keywords: Camera tracking | Computer vision | Deep learning | Hexagonal conveyor | Image processing | Omnidirectional wheels | YOlO
قیمت: رایگان
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