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

---

توضیحات اضافی:

---

---

---