With the rapid development of the Internet of Things (IoT), security and privacy of smart home systems based on IoT are more and more popular. As the key component of IoT, wireless communication and sensor technology ...
详细信息
With the rapid development of the Internet of Things (IoT), security and privacy of smart home systems based on IoT are more and more popular. As the key component of IoT, wireless communication and sensor technology are prerequisites for the security and confidentiality of smart home systems. The smart home systems integrate electronic information technology and computer control. By designing and installing various sensors in the home for collecting data, and then using the IoT platform for data transmission, the remote control of the home running state can be realized. The home security is guaranteed. This article designs IoT architecture of smart home, and then hardware and software are designed according to the system architecture. The hardware part is mainly analyzed from the image recognition module and the speech recognition module. In addition, a stereomatching algorithm for smart video surveillance is proposed to optimize the accuracy of the surveillance system. Finally, the simulation results prove that the designed smart home systems have a low cost and high accuracy. It not only optimizes the performance of smart home systems but also improves the safety factor.
A good result of triangulation or known as Three-Dimensional (3D) is depending on the smoothness of the disparity depth map that obtained from the stereo matching algorithms. The smoother the disparity depth map, the ...
详细信息
ISBN:
(纸本)9783319076744;9783319076737
A good result of triangulation or known as Three-Dimensional (3D) is depending on the smoothness of the disparity depth map that obtained from the stereo matching algorithms. The smoother the disparity depth map, the better results of triangulation can be achieved. This paper presents the evaluation of the existing stereo matching algorithms in the aspects of the speed of computational on depth map obtained. The stereo matching algorithms that we applied for experimental purpose are basic block matching, sub-pixel accuracy and dynamic programming. The dataset of stereo images that used for the experimental purpose are obtained from Middlebury stereo Datasets. This research is to provide an idea on choosing the better stereo matching algorithms to work on the disparity depth map for the purpose of 3D triangulation applications, as the good result of 3D triangulation is depending on how smooth is the disparity depth map can be obtained.
The burgeoning global logistics industry has necessitated the development of intelligent logistics systems as a crucial means to augment efficiency and curtail costs. Paramount to bolstering logistics system performan...
详细信息
The burgeoning global logistics industry has necessitated the development of intelligent logistics systems as a crucial means to augment efficiency and curtail costs. Paramount to bolstering logistics system performance is the optimization of cargo capacity in logistics vehicles, intrinsically linked to diminishing logistics expenses and augmenting transportation efficiency. Conventional approaches for gauging vehicle cargo capacity, predominantly reliant on manual measurements, have encountered challenges of inefficiency and lack of precision. In response to these impediments, this study advocates an innovative image processing-based methodology for optimizing vehicle cargo capacity. The research initially concentrates on refining stereo matching algorithms, aiming to elevate measurement accuracy and stability amidst complex environmental conditions. This enhancement proves particularly efficacious in measuring cargos with irregular contours and diverse reflective properties, facilitating more precise volume estimations. Additionally, the study introduces a novel methodology for volume calculation, predicated on the statistical analysis of pixel heights in images. This technique, utilizing meticulous camera calibration coupled with the extraction of pixel height data, enables the swift and accurate determination of cargo volume in vehicles, thereby markedly improving measurement efficiency and precision. The progress delineated herein not only paves a novel technological path for optimizing cargo capacity in logistics vehicles but also advances the application of image processing technology within the realm of intelligent logistics. The advancements hold substantial market potential and research significance, presenting a promising avenue for future explorations in this field.
Nowadays, FPGA technology offers a tremendous number of logic cells on a single chip. Digital design for such huge hardware resources under time-to-market constraint urged the evolution of High Level Synthesis (HLS) t...
详细信息
ISBN:
(纸本)9783319562582;9783319562575
Nowadays, FPGA technology offers a tremendous number of logic cells on a single chip. Digital design for such huge hardware resources under time-to-market constraint urged the evolution of High Level Synthesis (HLS) tools. In this work, we will explore several HLS optimization steps in order to improve the system performance. Different design choices are obtained from our exploration such that an efficient implementation is selected based on given system constraints (resource utilization, power consumption, execution time, ... ). Our exploration methodology is illustrated through a case study considering a Multi-Window Sum of Absolute Difference stereomatching algorithm. We implemented our design using Xilinx Zynq ZC706 FPGA evaluation board for gray images of size 640 x 480.
The monitoring of trees and vegetation near high voltage transmission power lines is a tedious job for electrical companies. There are many blackouts occur due to interfering the trees with the power transmission line...
详细信息
ISBN:
(纸本)9781479989966
The monitoring of trees and vegetation near high voltage transmission power lines is a tedious job for electrical companies. There are many blackouts occur due to interfering the trees with the power transmission lines in hilly as well as urban areas. This is a big challenge for power distribution companies to monitor the vegetation for avoiding the blackouts and flashovers. To solve these problems, there are many methods are used to monitor the trees and vegetation near transmission power poles. But the existing methods are expensive and time consuming. We proposed the new method based on satellite images to monitor the trees and vegetation. The satellite images provide the cost effective solution to solve the monitoring problem. In this paper, we proposed the stereo matching algorithms to measure the disparity map based on satellite stereo imagery. The height estimation of trees and vegetation near power poles based on depth map which is inversely proportional of the disparity map. For measuring the depth map, the dynamic programming (DP) and block matching with energy minimization has been proposed. These techniques are applied on the satellite stereo images and based on results, our proposed DP algorithm produced more accurate disparity map as compared to the block matching algorithm.
The monitoring of trees and vegetation near high voltage transmission power lines is a tedious job for electrical companies. There are many blackouts occur due to interfering the trees with the power transmission line...
详细信息
ISBN:
(纸本)9781479989973
The monitoring of trees and vegetation near high voltage transmission power lines is a tedious job for electrical companies. There are many blackouts occur due to interfering the trees with the power transmission lines in hilly as well as urban areas. This is a big challenge for power distribution companies to monitor the vegetation for avoiding the blackouts and flashovers. To solve these problems, there are many methods are used to monitor the trees and vegetation near transmission power poles. But the existing methods are expensive and time consuming. We proposed the new method based on satellite images to monitor the trees and vegetation. The satellite images provide the cost effective solution to solve the monitoring problem. In this paper, we proposed the stereo matching algorithms to measure the disparity map based on satellite stereo imagery. The height estimation of trees and vegetation near power poles based on depth map which is inversely proportional of the disparity map. For measuring the depth map, the dynamic programming (DP) and block matching with energy minimization has been proposed. These techniques are applied on the satellite stereo images and based on results, our proposed DP algorithm produced more accurate disparity map as compared to the block matching algorithm.
A stereomatching algorithm implemented in the stereovision system is presented. The algorithm provides dense depth or disparity maps necessary to perform 3D reconstruction of the observed scene. The term "dense&...
详细信息
ISBN:
(纸本)9780819471246
A stereomatching algorithm implemented in the stereovision system is presented. The algorithm provides dense depth or disparity maps necessary to perform 3D reconstruction of the observed scene. The term "dense" refers to the fact that the algorithm calculates depth value for each pixel of one of stereo images. Along with the implemented stereomatching algorithm, a method of its verification is proposed, by means of generating for each disparity map, a respective certainty map which holds information about likeliness that the respective disparity value was well chosen.
This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. It is based on the hypothesis that an infra-red camera is on board a satellite and pairs of images con...
详细信息
ISBN:
(纸本)0819464600
This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. It is based on the hypothesis that an infra-red camera is on board a satellite and pairs of images concern nearly the same scene. stereo-vision techniques are therefore explored in order to test the methodology for height retrieval and in particular results of several techniques of stereomatching are evaluated. This study includes area-based matchingalgorithms by implementing the basic versions, without considering any further steps of optimisation to improve the results. Dense depth maps are the final outputs whose reliability is verified by computing error statistics with respect to a set of Digital Terrain Elevation Data, used as ground truth for a set of nearly cloud free images. A set of real pairs of images from the Along-Track Scanning Radiometer2 11 mu m data set, has been considered. The evaluated errors range between .75 and .80 km, that is not a particularly bad result if it is compared to the resolution of the ATSR2 pixel (1 km resolution).
暂无评论