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An Interactive Context-Aware M-learning System for Field Trips

$1500-3000 USD

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已发布将近 7 年前

$1500-3000 USD

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The project is context aware mobile system that provides learning materials to students in field trips based on their context. The context is defined based on the student profile (level of study and preferences) and the object he is exploring. Identification of objects is based on the student GPS location and image processing techniques to increase the object identification accuracy. The system follows the instructor-led learning approach where instructors should visit the location first and define objects of interest as landmarks on the location map, then create a repository of learning materials for the selected objects for different levels of study and for different learning styles. During the field trip, the student location is monitored to identify the nearest objects and when the student directs his mobile camera to a specific object, the object is identified and learning materials based on the selected object and the student profile will be presented. The instructor visits the field trip place first to locate objects, he connects to the Internet then turn on the application and define objects as landmarks on the map. Then he returns back and uploads educational material on the repository via the desktop/web application for each object according to the student level and style. He can upload different types of learning materials (video, text, ppt, image, animation, etc.) and different contents based on the different levels of study of students. These materials will be accessed later by the students during the field trip. When the student goes to the field trip, he connects to the Internet then runs the application. The application will show a map for the location with landmarks for the suitable objects for him. He can move to any object with the guide of the map to explore it. If he needs more information, he selects the object and takes a photo of it. The application will show learning materials that are relevant to the object and to the student so that he can explore them.
项目 ID: 14759783

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远程项目
活跃7 年前

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Hello dear, I have a lot of experience in Computer Vision applications / image and video processing in mobile and windows applications, My Team experience includes Port Based container Damage detection Software: detecting damaged container and keeping record and report of containers movement, Driver fatigue detection using raspberry pi which in a matter of milli seconds determines if the driver is sleeping or not and alarm accordingly using OpenCV, Vehicle counting in the particular category they belong to on a high speed road, number plate recognition using OCR algorithm of openCV, face detection and recognition for attendance system of a school and patient management system of a medical system. We have been working on Machine learning and Big data systems. We have also developed apps and software using C,C++,Java,.net,matlab, python and embedded design I have worked in Teradata as data analyst and software designer for data parsing applications. In short We have all the experience needed to complete the project with maximum accuracy. I will be waiting for your kind response. Regards
$2,500 USD 在30天之内
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SAUDI ARABIA的国旗
Saudi Arabia
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会员自7月 25, 2017起

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