Search results for: Yasir M. Mustafah
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Procedia Computer Science > 2017 > 105 > Complete > 81-86
This paper discusses the development of a spatial radiation map by an autonomous mobile robot that is equipped with Geiger Muller sensor. Mapping of gamma radiation autonomously using robot as agents will help to prevent harm to human especially when radiation related disaster occur. Hence, we intend to develop a gamma radiation mapping system that reads and process location data of a mobile robot...
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Procedia Computer Science > 2017 > 105 > Complete > 40-45
This paper discusses the evaluation of performance of the Atmel Atmega328 under exposure of Cobalt-60(Co-60) source. Geant4 software is used to simulate the passage of particles through matter and calculate the absorb dose rate using Monte Carlo Methods. In the simulation using the Geant4 software, we vary the distance of IC from the source. Experiments also was conducted to measure radiation level...
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An unmanned aerial vehicle (UAV) which is integrated with the gripper system is be able to provide diverse service to the society. The objective of this project is to develop a load carrying and releasing system for hexacopter platform. The proposed method is to use the hexacopter with high payload capable of flying while carrying some extra load. A gripper system with the ability to hold and release...
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This paper discussed the development of a land target following system for hexacopter using on-board camera. The camera will detect the specified land target during the flight of the hexacopter and communicate with the base station to produce the GPS location of the target for necessary actions. Besides, basic concepts and mechanism of the hexacopter was briefly discussed. A few experiments were conducted...
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Illumination variation that span globally and locally across the facial surface is one of the most important aspect in designing a robust face recognition system. The illumination variations due to changes in lighting conditions could produce different shape of shading on the face thus deforming the facial features. The effect of these variations is simply more severe in the presence of single-sample...
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In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. One algorithm eliminates the background and the other one, detects the skin color patches in the image. To allow images to be processed rapidly on hardware, several techniques were employed...
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Human has the ability to roughly estimate the distance and size of an object because of the stereo vision of human's eyes. In this project, we proposed to utilize stereo vision system to accurately measure the distance and size (height and width) of object in view. Object size identification is very useful in building systems or applications especially in autonomous system navigation. Many recent...
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This paper presents a novel generic weak classifier for object detection called "Square Patch Feature". The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between two or four fixed size square patches in an image. A pre-calculated representation of the image...
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Recognizing faces in a crowd in real-time is a key feature which would significantly enhance Intelligent Surveillance Systems. Using a smart camera as a tool to extract faces for recognition would greatly reduce the computational load on the main processing unit. Main processing unit would not be overloaded by the demands of the high data rates of the video and could be designed solely for face recognition...
