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Author: search.filters.author.Pintavirooj, C.Subject: search.filters.subject.Raspberry Pi

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    Smart eye-tracking system
    (2018-05-30)
    Juhong, Aniwat
    ;
    Treebupachatsakul, T.
    ;
    Pintavirooj, C.
    This project is a smart eye tracking system which is designed for people with disabilities and elderly people. The concept of this research is to apply eye movement to control appliances, wheelchair and communicate with caretaker. This system comprises four components, imaging processing module, wheelchair-controlled module, appliances-controlled module and SMS manager module. The image processing module consists of webcam and C++ customized image processing, the eye movement image is captured and transmitted to Raspberry Pi microcontroller for processing with OpenCV to derive the coordinate of eye ball. The coordinate of eye ball is utilized for cursor control on the Raspberry Pi screen to control the system. Besides the eye movement, the eye blink is applied in this system for entering a command as when you press Enter button on keyboard. The wheelchair-controlled module is a cradle with two servos that can be moved to two dimensions and also adaptable to other wheelchair joysticks. This system also remotely controls some appliances and communicate with caretaker via send message to smartphone.
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    New observing robot for elder
    (2017-12-19)
    Sangjun, Thichakorn
    ;
    Aierpaiboon, Surapan
    ;
    Pintavirooj, C.
    This new observing robot is a robot attached with auto focus webcam camera at front side of its body which is controlled by user from a far distance and designed to be used in indoor environment. The robot is designed by using designed android application on android device with Visual Reality (VR) to control movement of camera and using joystick for the direction of robot. Both controllers transfer each position values pass through PubNub developer console and debugger to robot's operator which is Raspberry Pi 2 Module B. The objectives of this study are to produce the prototype observing robot which is controlled by using Android application and to create an internet connectable robot for the user or doctor to observe elder or patient in difference location.
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    Item type:Publication,
    Smart wheelchair based on eye tracking
    (2017-02-21)
    Wanluk, Nutthanan
    ;
    Visitsattapongse, Sarinporn
    ;
    Juhong, Aniwat
    ;
    Pintavirooj, C.
    This project is a smart wheelchair based on eye tracking which is designed for people with locomotor disabilities. The add-on controlled module can be used with any electrical wheelchair. The smart wheel chair consists of four modules including imaging processing module, wheelchair-controlled module, SMS manager module and appliance-controlled module. The image processing module comprises of a webcam installed on the eyeglass and C++ customized image processing software. The captured image which is transmitted to raspberry Pi microcontroller will be processed using OpenCV to derive the 2D direction of eye ball. The coordinate of eyeball movement is then wirelessly transmitted to wheelchair-controlled module to control the movement of wheel chair. The wheelchair-controlled module is two dimensional rotating stages that installed to the joystick of the electrical wheelchair to replace the manual control of the wheelchair. The motion of eyeball is also used as the cursor control on the raspberry Pi screen to control the operation of some equipped appliance and send message to smart phone.