Browsing by Author "khadase, Rahul"

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    Design of microstrip antenna for detedction of adulteration in milk powder
    (AIKTC, 2017-05) khadase, Rahul; Momin, Adnan Anis (14DET94)
    The proposed project is aim to design a microstrip antenna for the detection of adulteration in milk powder. A microstrip antenna resonating at frequency of 865.9MHz is designed. A direct feed coaxial feeding technique is used for feeding the microstrip antenna. The microstrip antenna is miniaturized and optimized by using miniaturization techniques namely meandering of patch and shorting of the patch with ground plane. The microstrip antenna is used as a sensor rather than for communication purpose. The non-adulterated milk powder sample which is placed on the radiating patch makes the microstrip antenna sensor to radiate at a specific resonant frequency i.e. at 865.9MHz. When the non-adulterated milk powder sample is replaced by adulterated milk powder sample the resonant frequency of antenna is shifted from 865.9MHz. The resonant frequency of the microstrip antenna sensor is inversely proportional to the dielectric constant or permittivity of the sample placed on it. Thus from the resonant frequency of the microstrip antenna it is detected whether the milk powder sample is adulterated or not.
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    Robotics surveillance project
    (AIKTC, 2015-05) khadase, Rahul; Matiur, Rehman (12ET80); Sayed, Saleem (12ET84); Qureshi, Mehtab Alam (11ET59)
    ABSTRACT: Object tracking is a challenging task in spite of all sophisticated methods that have been de-veloped. The major challenge is to keep track of the object of a particular choice. In this work, a new video moving object-tracking method is proposed. The segmentation of the video is done by contextual clustering. Clustering is an important method in data analysis because of its ability to ‘discover’ the inherent features in the data. The fundamental concept in clustering techniques is to group a given set of objects into subsets according to properties associated with each object, so that the members in each individual subset share some similar properly defined features. A multitarget human tracking is attempted.
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    Voice controlled wheelchair for disabled people
    (AIKTC, 2017-05) khadase, Rahul; Khan, Ayaz (12ET38); Khan, Ayaz (12ET25); Mukadam, Saif (11ET36); Shaikh, Saif (12ET53)
    This project is on automatic wheelchair for physically disabled people. A dependent user recognition voice system and ultrasonic and infrared sensor systems has been integrated in this wheelchair. In this way we have obtained a automatic wheelchair which can be driven using voice commands and with the possibility of avoiding obstacles by using infrared sensors and down stairs or hole detection by using ultrasonic sensors. The wheelchair has also been developed to work on movement of accelerometer which will help for the person whose limbs are not working. Accelerometer can be attached to any part of body of physically disabled person which he can easily move like head, hand etc. It has also provision of joystick for disabled person who can easily move his/her hand. Electronic system configuration, a sensor system, a mechanical model, voice recognition control, accelerometer control and joystick control are considered.