A Comprehensive Review of Robotic Sorting Using Machine Vision Technologies
| المصدر: | مجلة الأستاذ |
|---|---|
| الناشر: | جامعة طرابلس - نقابة أعضاء هيئة التدريس |
| المؤلف الرئيسي: | Akier, Amer Husein (Author) |
| مؤلفين آخرين: | Krima, Abdulbast (Co-Author) |
| المجلد/العدد: | ع27 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2024
|
| الشهر: | خريف |
| الصفحات: | 852 - 872 |
| رقم MD: | 1536162 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Sorting Robots | Machine Vision Technology | Artificial Intelligence | Object Recognition | Image Processing
|
| رابط المحتوى: |
عدد مرات التحميل
1
| المستخلص: |
With the rapid development of machine vision technology and artificial intelligence, contemporary robots are evolving towards collaboration, automation, networking, and intelligence. To ensure precise and efficient operation, machine vision technology has garnered significant attention and is being widely applied across various fields. Traditional sorting processes are heavily influenced by object characteristics. However, machine vision technology offers advantages such as high speed, large information capacity, and multifunctionality, while also eliminating errors caused by worker fatigue. Therefore, machine vision technology demonstrates excellent application prospects in the field of sorting. Based on this, this paper provides a detailed analysis and discussion of the composition, key technologies, and current applications of sorting robots using machine vision technology in various industries. It elaborates on the corresponding advantages, existing problems, and feasible solutions. Finally, the paper explores the development trends of sorting robots integrated with machine vision technology in the era of artificial intelligence and big data [1.2.4]. |
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