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Article
Autonomous Navigation of Mobile Robot Based on Flood Fill Algorithm

Author: Ayad Mohammed Jabbar
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2016 Volume: 12 Issue: 1 Pages: 79-84
Publisher: Basrah University جامعة البصرة

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Abstract

The autonomous navigation of robots is an important area of research. It can intelligently navigate itselffrom source to target within an environment without human interaction. Recently, algorithms and techniqueshave been made and developed to improve the performance of robots. It’s more effective and has high precisiontasks than before. This work proposed to solve a maze using a Flood fill algorithm based on real time cameramonitoring the movement on its environment. Live video streaming sends an obtained data to be processed by theserver. The server sends back the information to the robot via wireless radio. The robot works as a client devicemoves from point to point depends on server information. Using camera in this work allows voiding great timethat needs it to indicate the route by the robot

Keywords

Mobile robot --- Wi-Fi --- OpenCV --- EV3 --- LEGO Mindstorm


Article
VISION-BASED OBJECT DISTANCE MEASUREMENT USING MONO AND STEREO VISION
قياس مسافة جسم معين عن الكاميرا باستخدام الرؤيا الاحادية وباستخدام رؤية الاستيريو

Author: Ahmed Shany Khusheef احمد شاني خشيف
Journal: Iraqi journal of mechanical and material engineering المجلة العراقية للهندسة الميكانيكية وهندسة المواد ISSN: 20761819 Year: 2017 Volume: 17 Issue: 4 Pages: 734-744
Publisher: Babylon University جامعة بابل

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Abstract

Visual servoing (VS) is an essential research field because it is included in several robots' applications, such as "navigation and visual surveillance". The VS comprises three stages: taking an image by a visual sensor, processing the image to detect a target object, and guiding the robot to navigate the object. In this work, this issue will be studied to find the object's position in the frame of the image; and then to estimate its distance from the robot frame. The paper will provide the fundamental information of using two techniques: mono and stereo vision. C++ programming in addition to OpenCV libraries were used to develop and implement all codes. The experimental results demonstrated that the distances measured by stereo-vision were relatively accurate with errors ranged from -2.0 to 2.6 % in comparison with mono-vision's measurement errors that were fluctuated between -6.4 and 2.5%. It was also verified that the better results were achieved by using the larger distance between the cameras within the stereo-vision system.

التحكم البصري (Visual servoing) هو أحد المجالات البحثية المهمة وذلك لأستخدمه في تطبيقات عديدة من تطبيقات الروبوتات، مثل "الملاحة والمراقبة البصرية". هذا العملية تشمل ثلاث مراحل اساسية هي: اولا أخذ صورة عن طريق المتحسس البصري، ثانيا تحليل الصورة من اجل الكشف وايجاد الجسم المستهدف داخلها, واخيرا التحكم بالروبوت ليتبع ذلك الجسم. في هذا البحث، سيتم دراسة ايجاد موقع الجسم في الصورة ومن ثم ايجاد المسافة التي تفصله عن الروبوت (او الكاميرا). حيث سيتم تقديم المعلومات الأساسية لتقنيتين مستخدمتين لهذا الغرض هما: الرؤيا الاحادية (تتم باستخدام كاميرا واحدة) ورؤية الستيريو (تتم باستخدام كاميرتين). في هذا البحث تم استخدام لغة البرمجة (++C ) بالإضافة إلى المكتبة المفتوحة لمعالجة الصور (OpenCV). أظهرت النتائج التجريبية أن المسافات التي تقاس بنظام الستيريو اعلى دقة بنسبة خطأ تتراوح بين ( -2 و 2.6%) بالمقارنة مع نتائج القياسات المستحصلة من استخدام كاميرا واحدة والتي تراوحت نسبة خطأها بين -6.4 و 2.5%بالاضافة الى ذلك قد تم اثبات انه افضل النتائج تتحقق باستخدام مسافة اكبر بين الكامرتين .


Article
Smart E-Attendance System Utilizing Eigenfaces Algorithm

Authors: Farah F. Alkhali --- Bashra Kadhim Oleiwi
Journal: IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم ISSN: 18119212 Year: 2018 Volume: 18 Issue: 1 Pages: 56-63
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

With the development of technologies and the availability of internet in the present era, the human has been looking for ease and efficiency in running his business, the educational field has been affected by a radical revolution as a result of the introduction of advanced technology. This has led educational institutions to provide and utilize all methods of advanced technology. This paper suggests a simple way of taking students attendance in universities and schools by using face detection and recognition with the goal of checking student’s attendance in the classroom automatically. This operation is done with low cost because there is no need for special hardware to install the system in the classroom. It can be applied using a computer and a camera with low effort and high efficiency. Eigenfaces algorithm is applied in the proposed system for face detection and recognition utilizing OpenCV libraries and Visual C#.Net 2015 with Microsoft Access 2016.

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