Siti Asmah Daud

Application of Infrared sensor for shape detection

This paper describes the use of multiple Infrared sensors to reconstruct a shape by detecting any changes in sensor displacement when there is an obstacle placed in front of the sensor. Meanwhile, the distance between IR sensors and the obstacle was set at 5 cm to minimize the noise contributed by the reflection of the sensor during data collection. A stepper motor was used in the experimental design to control the movement of an obstacle which rotates at 3600 for one complete cycle. Additionally, Arduino Software was used as a micro controller to control the switching mode of the sensor and CoolTerm Software was used to store the sensor output data in the text file format. For analysis, Matlab Software has been used to plot the graph of sensor value against the collected data. IR sensors are capable in measuring data up to 0.05 cm of resolution in displacement. Experimental results showed that by using IR sensors, it is possible to reconstruct a shape via plotting the graph for cylinder, hemisphere and ellipse shape obstacles.

Polygon 3D surface reconstruction using IR scanner

Polygon model scanner is developed to reconstruct a three-dimension image of an object’s surface. Amongst is by installing five infrared sensors in the sensor array as a medium to harvest data. All components used in the device then are installed in a closed box to avoid any source of light. Next is ellipse, hemisphere, cylinder and rectangle shapes were used to be tested in the developed device. Results from the experiment showed that the device is capable to reconstruct an image of a polygon model. As a whole, it requires 60 min to scan the whole model which covers 10 cm of the height with a diameter of 5 cm. Finally, Butterworth, Mean, Median filters and point fitting were used to determine which filters gives accurate dimension compared to the reference shape.

Development of a portable phototherapy garment (PPG) for jaundice treatment

Phototherapy is the most common treatment used for jaundiced newborn by utilizing light sources such as fluorescent tubes, halogen lamp, fiberoptic system and LEDs to reduce bilirubin level in infants. Currently, the commonly used phototherapy devices in hospitals require continuous uninterrupted treatment for a period of time and generate considerable amount of heat that may lead to thermal injury to infants. Limited numbers of phototherapy devices in some developing and third-world countries have caused longer waiting periods between patients. Thus, a portable phototherapy device, which allows easy access and comfort to both infants and breastfeeding mothers, is very much preferred to overcome the current situation. The Portable Phototherapy Garment (PPG) uses blue surface mount device (SMD) LEDs which are arranged on a garment to deliver sufficient light exposure to infants in a safely manner. The PPG is also equipped with a body temperature and alert system to indicate any abnormal temperature and completion of treatment. The PPG was proven to reduce bilirubin level in artificial bilirubin standard solution (ABSS) more efficiently compared to fluorescent tubes.

Implementation of 3D Object Reconstruction Using Radon Transform

This paper presents reconstruction of objects using multiple-views of 2D images. As a first step to get familiar in research field, it is simply done with several MATLAB image processing tools while acquisition of data is captured by a digital camera where the object statically stands in front of a cardboard as a background. The digital camera used is a mobile phone camera which it is fixed at a place and captures 36 different angles of views in order to get projection images for more accurate shape can be reconstructed. The 36 views are obtained using a piece of paper with reference angle drew on it in order to rotate the object. There are several image processing techniques applied on the images to reconstruction them as a 3D image which are thresholding, Radon transform, inverse Radon transform and also edge detection. The results obtained show that 3D reconstruction has successfully created where it is good enough to reconstruct exactly same shape as the original object.