Otomatik Montaj Sistemleri



Otomatik Üretim Hatları
Yıldırım, Ender (Nobel Yayın Dağıtım, 2016-09-01)
Automatic license plate recognition system location selection
Gör, Buğra; Karakaya, Gülşah; Department of Business Administration (2018)
With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determ...
Otomatik Hedef Sınıflandırma Sistemleri İçin Çok Kriterli Hedef Sınıflandırma
Atıcı, Bengü; Karasakal, Esra; Karasakal, Orhan (2019-06-12)
An FPGA implementation of two-step trajectory planning for automatic parking
Ertuğrul, Halil; Schmidt, Şenan Ece; Schmidt, Klaus Werner; Department of Electrical and Electronics Engineering (2013)
The main distinguishing feature of different automatic parking technologies is the method that determines a proper collision-free path. Hereby, the length of the path, the number of halts and the computation time for finding such path are the most relevant performance criteria. In this thesis, a two-step trajectory planning algorithm for automatic parking is considered. The algorithm finds a path that meets all kinematic constraints of the car from its initial position, to the target position while requirin...
Semi-automated image labeling framework for honeybee (apis mellifera) detection and tracking in automated bee hive applications
Has, Alper Emre; Alemdar, Hande; Department of Computer Engineering (2023-1-24)
Beekeeping is a valuable field for both scientific research and agriculture. While bee keepers have traditionally relied on close observation, often with the help of vets, this method can provide limited empirical results. The high cost of monitoring tools presents a challenge in the beekeeping industry. To address this challenge, we im plement an animal detecting and tracking algorithm as part of a framework that uti lizes low-cost cameras and low-power computational equipment. This leads to the developmen...
Citation Formats
E. Yıldırım, “Otomatik Montaj Sistemleri,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76926.