Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2024, Cilt: 12 Sayı: 3, 1627 - 1639, 31.07.2024

Öz

Kaynakça

  • [1] N. Demirbaş, “Good agriculture applications with fruit in their gardens emerge coming out production , harvest and reaping post- losses Can it be reduced ,” XI. IBANESS Congresses Series , Tekirdağ , Turkey, 9(10), 289-296, 2019.
  • [2] O. Cömert, M. Hekim , ADEM Kemal, “ Using Faster R-CNN in apples Rotten Detection ,” International Journal of Engineering Research and Development , 11(1), 335-341, 2019.
  • [3] Z. Zhang, Y. Lu, R. Lu, “Development and evaluation of an apple infield grading and sorting system,” Postharvest Biology and Technology , 180, 111588, 2021.
  • [4] T. Erdoğan, “ Moving conveyor on camera image with article recognition and objects in its place Do not put application ,” Doctoral dissertation , DEU Science Institute , 2012.
  • [5] B. Parlar, N.Ö Sayar, Ö. Aydin, “Image Processing and Machinery to learn based Location Identification, Robot Arm Routing and Part Placement System .” 8th International Management Informatics Systems Conference (IMISC2021), 104-114, 2021.
  • [6] K. Patil, S. Kadam, S. Kale, Y. Rachetti , K. Jagtap, KH Inamdar, “Machine Vision Based Autonomous Fruit Inspection and Sorting,” International Research Journal of Engineering and Technology (IRJET), 3(7), 413-417, 2016.
  • [7] A. Kulaksız, “Image processing supported Parallel Robot control ,” Doctoral dissertation , Marmara University , 2010.
  • [8] M. Dragusu, AN Mihalache, R. Solea , “Practical applications for robotic arms using image processing,” 16th International Conference on System Theory, Control and Computing (ICSTCC), 1-6, 2012.
  • [9] S.Ö. Sarıyıldız, A. Demirhan, “Image Processing Techniques and Objects with Robot Arm To categories Separation,” Uludağ University engineering Faculty Journal, 26(2), 547-556, 2021.
  • [10] R. Arikapudi, S.G. Vougioukas, “Robotic Tree-fruit harvesting with arrays of Cartesian Arms: A study of fruit pick cycle times,” Computers and Electronics in Agriculture, 211, 1-17, 2023.
  • [11] B. Altawil, F.C. Can, “Design and Analysis of a Four DoF Robotic Arm with Two Grippers Used in Agricultural Operations,” International Journal of Applied Mathematics Electronics and Computers, 11(2), 79-87, 2023.
  • [12] F.A. Şenel, B. Çetişli, “Görüntü İşleme ve Beş Eksenli Robot Kol ile Üretim Bandında Nesne Denetimi,” Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 21(5), 158-161, 2015.
  • [13] Z. Bingül, S. Küçük, “Robot Kinematiği,” Birsen Yayınları, İstanbul, 1-7, 2009.
  • [14] M. Ayyıldız, K. Çetinkaya, “Comparison of four different heuristic optimization algorithms for the inverse kinematics solution of a real 4-DOF serial robot manipulator,” Neural Computing and Applications, 27, 825-836, 2015.

Fruit Sorting Automation; Cartesian Robot and Conveyor Design

Yıl 2024, Cilt: 12 Sayı: 3, 1627 - 1639, 31.07.2024

Öz

The quality control process, the process of sorting the products on the conveyor belt into intact, bruised, rotten and raw types, is carried out by people. However, due to the human factor in the sorting process, it is difficult to achieve a certain standard and work consistently at the same efficiency. Therefore, performing this process autonomously using image processing, cartesian robot and conveyor belt technologies is important in terms of both accelerating the process and reducing its cost.

In this study, pick and place cartesian robot and conveyor belt system were designed to be integrated with each other for fruit sorting automation. The fruits whose image processing is completed are positioned on the conveyor belt. By adding partitions on the conveyor belt, the fruits falling from the image processing mechanism are ensured to reach the Cartesian robot without changing their position. The Cartesian robot starts moving according to the position of the fruit on the conveyor. When it reaches the location of the fruit, it holds it with the help of a vacuum generator and leaves it in the storage areas separated according to the condition of the fruit (color, damaged, undamaged). Thanks to the designed cartesian robot, it is aimed to minimize the error rate by sorting in a faster, less costly and reliable way. The aim of the study is to provide physical separation. By using the prepared system in the industry, it is aimed to minimize labor costs and errors that may occur in the human factor.

Teşekkür

bildiri UMYOS'ta sözlü olarak sunulmuştur.

Kaynakça

  • [1] N. Demirbaş, “Good agriculture applications with fruit in their gardens emerge coming out production , harvest and reaping post- losses Can it be reduced ,” XI. IBANESS Congresses Series , Tekirdağ , Turkey, 9(10), 289-296, 2019.
  • [2] O. Cömert, M. Hekim , ADEM Kemal, “ Using Faster R-CNN in apples Rotten Detection ,” International Journal of Engineering Research and Development , 11(1), 335-341, 2019.
  • [3] Z. Zhang, Y. Lu, R. Lu, “Development and evaluation of an apple infield grading and sorting system,” Postharvest Biology and Technology , 180, 111588, 2021.
  • [4] T. Erdoğan, “ Moving conveyor on camera image with article recognition and objects in its place Do not put application ,” Doctoral dissertation , DEU Science Institute , 2012.
  • [5] B. Parlar, N.Ö Sayar, Ö. Aydin, “Image Processing and Machinery to learn based Location Identification, Robot Arm Routing and Part Placement System .” 8th International Management Informatics Systems Conference (IMISC2021), 104-114, 2021.
  • [6] K. Patil, S. Kadam, S. Kale, Y. Rachetti , K. Jagtap, KH Inamdar, “Machine Vision Based Autonomous Fruit Inspection and Sorting,” International Research Journal of Engineering and Technology (IRJET), 3(7), 413-417, 2016.
  • [7] A. Kulaksız, “Image processing supported Parallel Robot control ,” Doctoral dissertation , Marmara University , 2010.
  • [8] M. Dragusu, AN Mihalache, R. Solea , “Practical applications for robotic arms using image processing,” 16th International Conference on System Theory, Control and Computing (ICSTCC), 1-6, 2012.
  • [9] S.Ö. Sarıyıldız, A. Demirhan, “Image Processing Techniques and Objects with Robot Arm To categories Separation,” Uludağ University engineering Faculty Journal, 26(2), 547-556, 2021.
  • [10] R. Arikapudi, S.G. Vougioukas, “Robotic Tree-fruit harvesting with arrays of Cartesian Arms: A study of fruit pick cycle times,” Computers and Electronics in Agriculture, 211, 1-17, 2023.
  • [11] B. Altawil, F.C. Can, “Design and Analysis of a Four DoF Robotic Arm with Two Grippers Used in Agricultural Operations,” International Journal of Applied Mathematics Electronics and Computers, 11(2), 79-87, 2023.
  • [12] F.A. Şenel, B. Çetişli, “Görüntü İşleme ve Beş Eksenli Robot Kol ile Üretim Bandında Nesne Denetimi,” Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 21(5), 158-161, 2015.
  • [13] Z. Bingül, S. Küçük, “Robot Kinematiği,” Birsen Yayınları, İstanbul, 1-7, 2009.
  • [14] M. Ayyıldız, K. Çetinkaya, “Comparison of four different heuristic optimization algorithms for the inverse kinematics solution of a real 4-DOF serial robot manipulator,” Neural Computing and Applications, 27, 825-836, 2015.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Makine Tasarımı ve Makine Elemanları
Bölüm Makaleler
Yazarlar

Mustafa Ayyıldız 0000-0002-4534-6713

Yusuf Kenan Çiftçi 0009-0006-6513-6154

Kubilay Kilecioğlu 0009-0000-2712-671X

Ömer Faruk Arslan 0009-0008-7675-8084

Yayımlanma Tarihi 31 Temmuz 2024
Gönderilme Tarihi 5 Aralık 2023
Kabul Tarihi 7 Ocak 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 12 Sayı: 3

Kaynak Göster

APA Ayyıldız, M., Çiftçi, Y. K., Kilecioğlu, K., Arslan, Ö. F. (2024). Fruit Sorting Automation; Cartesian Robot and Conveyor Design. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, 12(3), 1627-1639.
AMA Ayyıldız M, Çiftçi YK, Kilecioğlu K, Arslan ÖF. Fruit Sorting Automation; Cartesian Robot and Conveyor Design. DÜBİTED. Temmuz 2024;12(3):1627-1639.
Chicago Ayyıldız, Mustafa, Yusuf Kenan Çiftçi, Kubilay Kilecioğlu, ve Ömer Faruk Arslan. “Fruit Sorting Automation; Cartesian Robot and Conveyor Design”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi 12, sy. 3 (Temmuz 2024): 1627-39.
EndNote Ayyıldız M, Çiftçi YK, Kilecioğlu K, Arslan ÖF (01 Temmuz 2024) Fruit Sorting Automation; Cartesian Robot and Conveyor Design. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12 3 1627–1639.
IEEE M. Ayyıldız, Y. K. Çiftçi, K. Kilecioğlu, ve Ö. F. Arslan, “Fruit Sorting Automation; Cartesian Robot and Conveyor Design”, DÜBİTED, c. 12, sy. 3, ss. 1627–1639, 2024.
ISNAD Ayyıldız, Mustafa vd. “Fruit Sorting Automation; Cartesian Robot and Conveyor Design”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12/3 (Temmuz 2024), 1627-1639.
JAMA Ayyıldız M, Çiftçi YK, Kilecioğlu K, Arslan ÖF. Fruit Sorting Automation; Cartesian Robot and Conveyor Design. DÜBİTED. 2024;12:1627–1639.
MLA Ayyıldız, Mustafa vd. “Fruit Sorting Automation; Cartesian Robot and Conveyor Design”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, c. 12, sy. 3, 2024, ss. 1627-39.
Vancouver Ayyıldız M, Çiftçi YK, Kilecioğlu K, Arslan ÖF. Fruit Sorting Automation; Cartesian Robot and Conveyor Design. DÜBİTED. 2024;12(3):1627-39.