Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Otomatik Üretim Hatları
Date
2016-09-01
Author
Yıldırım, Ender
Metadata
Show full item record
Item Usage Stats
201
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/74095
Relation
Otomasyon, Üretim Sistemleri ve Bilgisayarla Tümleşik İmalat
Collections
Department of Mechanical Engineering, Book / Book chapter
Suggestions
OpenMETU
Core
Otomatik Montaj Sistemleri
Yıldırım, Ender (2016-09-01)
Otomatik Hedef Sınıflandırma Sistemleri İçin Çok Kriterli Hedef Sınıflandırma
Atıcı, Bengü; Karasakal, Esra; Karasakal, Orhan (2019-06-12)
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...
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...
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...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Yıldırım,
Otomatik Üretim Hatları
. 2016, p. 471.