Robotic automation systems includes higher production rates and increased productivity, more efficient use of materials, better product quality, improved safety, and reduced factory lead times. Higher output and increased productivity have been two of the biggest reasons in justifying the use of automation. Despite the claims of high quality from good workmanship by humans, automated systems typically perform the manufacturing process with less variability than human workers, resulting in greater control and consistency of product quality. Also, increased process control makes more efficient use of materials, resulting in less scrap. Despite all these advantages, the final product control is still carried out by workers. In this study, it is planned to prevent quality problems with a video processing that integrates with the robotic automation line in order to solve the final quality problem. This system, which controls the movements of the worker in the predetermined motion routes with the signals coming from the line. It aims to ensure that the products going to the customer are completely error free.

Bifosfonatlar osteoporoz tedavisinde yaygın olarak kulanılmaktadır. Bifosfonatların etki mekanizması, kemik rezorpsiyonu supresyonudur. Uzun dönem bifosfonat kullanımında ise son yıllarda gittikçe artan sayıda atipik femur kırıkları bildirilmektedir. Biz, 60 yaşında, metastatik meme karsinomu tanılı, uzun süreli bifosfonat kullanımına bağlı eşzamanlı bilateral femur subtrokanterik kırık ile başvuran postmenapozal kadın hastada, klinik presentasyon, tanı konulması, tedavi ve takibini yayınlıyoruz. Her iki kırık hattından frozen gönderildi, frozen inceleme sonucunda, tümöral dokuya rastlanmadı. Hastanın aynı seansta sağ kalçasına proksimal femoral çivi, sol kalçasına femur proksimal anatomik plak uygulandı. Her iki alt ekstremitesine tam yük vererek yürüyebildiği, kalça eklem hareketlerinde istirahat ve egzersizle ağrı olmadığı görüldü.

Spot welding is one of the metal joining technologies and has an important place especially in the automotive industry. A passenger car has average 5000 spots. Destructive inspection is carried out at certain periods to check these spots. However, not all parts can be checked. In this work, welding parameters were collected and analyzed. By applying different machine learning methods, the quality of the spot welding was tried to be estimated and the results were compared.