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The authors have been working on support of coastal fishing utilizing ICT since 2004. We have realized two visualizations for the sustainable fishery until now. One is visualization of resources for capture fishing using digital diary and the other is visualization of environment for culture fishing using small buoys. In this paper, we propose the visualization of technology for octopus drift fishing...
A visually impaired person or a person with visually impaired, daily has difficulties to learn to recognize or differentiate objects when performing any activity, such as walking the streets or being able to recognize dollar bills of different denomination, this makes that the people with this type of disability cannot adapt easily to the society. Usually the visually impaired persons depend on someone...
In today's conditions, parents have to work for home economics. For this reason, it is not always possible for parents to meet their children's needs, to protect them from dangers and to help them. Parents agree with a fee-paying caregiver to ensure that their children's needs are provided. Looking after a child by a caregiver can create a variety of security problems for the mother and the father...
The vision is considered the most important sense in humans, the visual field may be affected by various diseases or conditions that can even be congenital, resulting in a high percentage of people with visual problems, low vision to blindness. In the majority of cases can be corrected with conventional methods, however, if a suitable control could be prevented and up to early detection of various...
This paper is concerned with the stability for visual servo inverted pendulum system with variable image processing time delay. Firstly, the image processing time delay is inevitably introduced in visual servo inverted pendulum system due to the visual feedback, where its upper and lower bounds are obtained via the statistics analysis on time delay data. Specially, a Markov chain is then employed...
The rapid and irregular motion of semen cells makes the counting process of semen difficult in the visual assessment. Therefore, computer based techniques are necessary to evaluate the tests with more accurately. In this paper, an alternative way to the visual assessment technique in spermiogram tests is presented. Analyses are performed on the recorded microscope video images by computer, automatically...
The quality control of cherries harvested in the orchard is a process of great relevance for the Chilean export industry. Nowadays companies carry out this process manually, obtaining a high error rate in the measurements of color and caliber of the fruits. This article seeks to develop a system to automate this process and thus reduce measurement failures. For this, an information system was implemented...
The agricultural industry faces the challenge of increase yield and improve the food quality. This paper presents a study on the prediction of fruit production and also intends to detect other information that can be obtained based on the scans of fruit trees using a LIDAR sensor. We worked on a Williams pear orchard using a semi-automatic procedure in order to estimates tree volume. We compute the...
This paper sets out and presents a new approach to determine the stroke volume of the artificial ventricle. The stroke volume of the chamber is one of the basic heart function parameters. For the artificial heart assist purpose, in the study this value is calculated based on the mapped shape of the flaccid membrane of the extracorporeal pneumatic heart assist pump. This is a continuation of the earlier...
One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components...
This paper describes the integration of a scrubbing strategy and a dynamic reconfiguration mechanism within an FPGA-based heterogeneous System-on-chip, intended to be used as a reconfigurable processor for space applications. Scrubbing offers the possibility of detecting and correcting transient errors in the device configuration memory, while dynamic reconfiguration is used either to relocate modules...
Convolutional neural networks (CNNs) have been widely used in image processing community. Image deblocking is a post-processing strategy, which aims to reduce the visually annoying blocking artifacts that are caused by block-based transform coding at low bit rates. In recent years, CNNs based methods have been proposed to solve this classic image processing problem. In this paper, we present an efficient...
The paper deals with the development of a system for automatic weld recognition using new information technologies based on cloud computing and single-board computer in the context of Industry 4.0. The proposed system is based on a visual system for weld recognition, and a neural network based on cloud computing for real-time weld evaluation, both implemented on a single-board low-cost computer. The...
Unmanned aerial vehicle (UAV) based computer vision system, as a more and more promising option for forest fires surveillance and detection, is now widely employed. In this paper, an image processing method for the application to UAV is presented for the automatic detection of forest fires in infrared (IR) images. The presented algorithm makes use of brightness and motion clues along with image processing...
Recognition of complex language objects is a proposition for human-like perception of the surrounding world by machines. The crucial complication is a high complexity of relationships that may arise in the recognition of these objects. This implies existence of a high variety of approaches for perceived image objects recognition. One of the approaches, to which also this paper is devoted, is based...
In this paper, we propose an algorithm for tracking of moving objects in video sequences. Our method uses Kalman filter to predict the location of target and exploits superpixel based tracking algorithm to find the real position of target in a search region surrounding the predicted location. The motion dynamics and equations from mechanics physics are used to design a Kalman filter with assumption...
This paper presents a hybrid cameras visual servo robot system, which combines both Eye-in-hand and Eye-to-hand cameras, to perform the task of picking and precise placing for moving workpieces on conveyor belt. The Eye-to-hand camera is applied to capture images that evaluate the velocity of moving workpieces and detect the position error of robot gripper and workpieces. The precise velocity of workpieces...
The custom to gaze at screens of PC and smart phones has become common in daily life and it causes increase the symptom of dry eye syndrome. The purpose of this study is to develop a new monitor system to catch an eye area by using a front camera of a tablet, to visualize the opening and closing rate of the blink and to reduce eyestrain and to alert dry eye syndrome. Then, the image processing techniques...
This poster presents the problem of 3D contact measurements from two co-registered volumetric images (z-stacks). The 3D contact measurement consists of (a) segmenting an object of interest in each z-stack, (b) computing the relative spatial positions of the detected objects to detect contacts, (c) validating the accuracy of segmentation, and (d) visually verifying correct contact detection. The 3D...
The fresh and defective beef identification by consumers is subjectively through visual observation. However, identifying beef quality manually has disadvantage, there is human visual limitations, differences in human perception in assessing the quality of an object, and ability of each individual knowledge are different. Therefore, we need a technological device that can be applied to identify the...
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