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The variability in grain production makes it necessary to have strategic grain storage plans in order to ensure adequate supplies at all times. However, insects in stored grain products cause infestation and contamination which reduce grain quality and quantity. In order to prevent these problems, early detection and constant monitoring need to be implemented. Acoustic methods have been established...
The study proposes an automated vehicle class and color profiling system to specifically have distinct information on any apprehended car in an intelligent traffic system. The problem arises from the fact that traffic enforcers are sometimes unreliable with apprehending cars due to the lack of information on the violator. The solution is an automated system which consists of background difference...
In this paper, a quadcopter equipped with a camera was used to capture images from a river. These captured images were used as training data in the detection program used to detect the hydromorphological features in the area of the river such as trees, roofs, roads and the shore. The Viola-Jones Algorithm was used in order to detect, identify and recognize hydromorphological features due to its speed...
The paper presents an intelligent system architecture for detecting traffic violations based on vision. This study aims to better manage traffic conditions in block intersections by employing a computer vision system that facilitates the identification of traffic violations committed in the road intersection. The architecture includes three sub-system: video capture sub-system, intelligent operating...
This paper presents the development of a computer vision system for on-board bus passenger counting using optical flow. The system provides the demand forecast for the bus dispatch scheduling system in the EDSA route of Metro Manila. The camera system installed in the bus captures the images of boarding and alighting passengers. Optical flow is used for the motion detection and tracking of passengers...
This paper proposes a vehicle plate optical character recognition method using scale invariant feature transform integrated with image segmentation and fuzzy logic. Image segmentation separates every character in a plate area to get the features of every character obtained. Scale Invariant Feature Transform or SIFT on the other hand, allows the extraction of every feature of each character obtained...
This paper proposes a vehicle plate localization method using genetic algorithm integrated with image thresholding. Image thresholding outputs a value which varies on the time the image is captured. Genetic algorithm on the other hand, executed the license plate region detection of the digital image which depends on the set-level of the image threshold values obtained. Using the proposed algorithm,...
Developing countries face the problem of crowded and congested roads because of inefficient implementation of traffic rules. Motorists ignore the rules because they are not apprehended and can get away easily. This paper proposes an intelligent traffic system that is able to automatically detect and apprehend traffic violators, specifically motorists who either swerve or block the pedestrian lane...
Image stitching is done by combining multiple input images such that the ideal result is a single image that contains contexts from all the inputs as well as seamless transitions between contexts. It is most commonly used in the field of panoramic photography. Large dissimilarities in the input image set are very problematic in image stitching applications. These cause several objections in the resulting...
Clothing companies should be aware of the in demand products that they should reproduce at a given time. In this study, the researchers aim to improve monitoring of sales in the business industry specifically in clothing companies. The group implemented a system that automatically scans and records apparel swing tags, which is geared towards an easier and faster processing of sales with the use of...
Vision systems are becoming popular as a method of gathering information and stimuli from a robot's environment. The goal of this paper is to implement an underwater distance ranging system using a stereo vision system. Target tracking is based on the color of the targets. The ranging algorithm was designed so that it can range targets up to 2 meters away with a minimum accuracy of 90%. An algorithm...
Even with the availability of high-resolution color imaging sensors, there are certain limitations in using the visible light band. For instance, visible light easily scatters causing haze in images. The near-infrared (NIR) band offers a viable alternative for such applications. Previous work have demonstrated the uses of NIR in combination with high-resolution colored images. However, the use of...
A remote controlled robot that can traverse on land and water with human detection for flood search operation has been made to aid rescuers and volunteers in conducting search operations. The robot can traverse on water and different types of terrain, namely wooden floor, cement, rocks and mud. It can handle an additional load of less than 8 lbs and a water current of 0.385 meters per second. It can...
The anaglyph is a widely overlooked method of viewing three-dimensional images on any colored display. This is done by selectively filtering the image through colored lenses. Despite the simplicity of this system, the approach to designing anaglyph images remained largely empirical until a recent mathematical analysis by Eric Dubois. While the methods shown in the said work create good anaglyphs,...
Pedestrian detection systems are valuable in a variety of applications such as in advanced driver assistance systems and advanced robots. This study presents a pedestrian detection system that uses Histogram of Oriented Gradients (HOG) as feature descriptor, and AdaBoost and Linear Support Vector Machines (SVM) as classifiers. The entire system is tested and evaluated in both publicly available databases...
In this study, spectral subtraction speech enhancement is integrated to a two word vocabulary speech recognition system to effectively reduce the effects of background noise and increase the recognition rate. The whole system was implemented in FPGA and was modelled in MATLAB. The preprocessing subsystem contains the spectral subtraction algorithm and acoustic front end speech enhancements while the...
Stock market analysis has traditionally been proven to be difficult due to the large amount of noise present in the data. Different approaches have been proposed to predict stock prices including the use of computational intelligence and data mining techniques. Many of these methods operate on closing stock prices or on known technical indicators. Limited studies have shown that Japanese candlestick...
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