چکیده مقاله
In this study, an intelligent robotic arm for automatic vaccination of livestock has been designed and implemented The system is capable of accurately identifying the suitable injection area and guiding the arm to the target point The YOLOv11 model has been used for identifying the cow's neck region, achieving an accuracy of 95 8% in precisely locating the target area The designed robotic arm, with an R P P structure and the use of inverse kinematic equations, provides high precision in directing the arm to the injection point The simulation results demonstrate a reduction in vaccination time and an improvement in the accuracy of the process This system also has the potential to be used in confined spaces and can serve as an effective tool for enhancing productivity and safety in industrial livestock farms This technology could lead to significant improvements in the livestock vaccination process, helping to reduce costs and human errors
کلیدواژهها
نویسندگان
رضا مسعودی
Faculty of Electrical Engineering Urmia University of Technology Urmia, Iran
Hadiseh Babazadeh
Faculty of Electrical Engineering Urmia University of Technology Urmia, Iran
شیوه ارجاع
Masoudi, Reza and Babazadeh, Hadiseh,1404,Design of a Robotic Vaccination Arm for Livestock with Automated Targeting,The 4th International Conference and the 9th National Conference on Computers, Information Technology and Artificial Intelligence Applications,Ahvaz
ارائهشده در
مجموعه مقالات پنجمین همایش ملی و نخستین همایش بین المللی محاسبات نرم علوم مهندسی در صنعت و جامعه26 بهمن 1404 · ایرانشهر