scholarly journals Survey of Slum Housing Characteristics Using Drones: An Experiment in the Alto das Pombas Community, Salvador de Bahia/Brazil

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Joice Genaro Gomes ◽  
Julio Cesar Pedrassoli
Keyword(s):  
Image Processing ◽  
Technical Assistance ◽  
Low Cost ◽  
Physical Characteristics ◽  
Health Improvement ◽  
Housing Characteristics ◽  
Data Extracting ◽  
Slum Housing

Abstract Since the approval of the Brazilian Federal Technical Assistance Law, whose objective is to guarantee adequate technical assistance to the residents of poor areas to improve their homes, several municipalities have implemented programs, not always successful, to improve housing in slums. Aiming to subsidize these programs implementation workflow, the present paper analyses use of drones as a tool to gather information about the physical characteristics slum households in Salvador de Bahia city, Brazil. As an experiment we flight over a single census sector within the Alto das Pombas slum, and after image processing we extracted and organized the collected data, extracting the possible information that could be applied to identify and quantify the most precarious houses that could be prioritized from a health improvement perspective. We conclude that many of the necessary data needed, on the urbanistic scale in Brazilian slums, can benefit from drone photogrammetry at low cost and fast execution.

Developing an Inkjet Printer I: RGB Image to CMY Ink Amounts - Image Processing and Color Management

2020 ◽  
Vol 2020 (15) ◽  
pp. 350-1-350-10
Author(s):  
Yin Wang ◽  
Baekdu Choi ◽  
Davi He ◽  
Zillion Lin ◽  
George Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Experimental Results ◽  
Color Management ◽  
Finger Nail ◽  
Inkjet Printer ◽  
Rgb Image ◽  
Novel Algorithm

In this paper, we will introduce a novel low-cost, small size, portable nail printer. The usage of this system is to print any desired pattern on a finger nail in just a few minutes. The detailed pre-processing procedures will be described in this paper. These include image processing to find the correct printing zone, and color management to match the patterns’ color. In each phase, a novel algorithm will be introduced to refine the result. The paper will state the mathematical principles behind each phase, and show the experimental results, which illustrate the algorithms’ capabilities to handle the task.

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Capabilities of business intelligence for improving the efficiency of economic analysis in stressful economic conditions caused by pandemic

2021 ◽  
pp. 21-37
Author(s):  
Stanislav Mitrovic ◽  
Viktor Paulevich Suits
Keyword(s):  
Economic Analysis ◽  
Business Intelligence ◽  
Information Technologies ◽  
Low Cost ◽  
Information Support ◽  
Economic Conditions ◽  
Health Improvement ◽  
Corporate Management ◽  
Economic Market ◽  
Business Intelligence Systems

From the perspective of economic analysis, the phenomenon of business intelligence (BI), which is the main subject of this research, is described as a version of artificial intelligence oriented towards comprehensive analysis of high data volume and its transformation into applied knowledge on the economic activity of organizations. Emphasis is placed on the feasibility and peculiarity of implementation of business intelligence systems in stressful economic conditions caused by pandemic on the global and national scale. The empirical part of research lies in the development and testing of the intelligent solution in the area of information and analytical support for economic analysis. The acquired conclusions prove that the current situation on the global economic market promotes further development of methodology for implementing information technologies, and business intelligence in particular, in the economic analysis of business activity. In order to meet the specific needs of end-users of business intelligence systems, was developed the tool for calculating the economic efficiency of medical insurance for health improvement of the personnel. It is substantiate that innovative BI- technologies help to integrate and successfully apply the solutions of business analysis at any level of corporate management. The authors outline the leading parameters of the ideal version of business intelligence, as well as justify that the use of business intelligence systems in the area of information support for economic analysis gives a multiplicative effect: - contributes to the improvement of economic analysis, efficiency of implementation and accuracy of data; - ensures the effectiveness of economic analysis for achieving  best result with relatively low cost and maximum utilization time; - provides acceptable relevance of the data that underlie the management decisions, leaving out subjectivism.

Marker-guided auto-landing on a moving platform

2017 ◽  
Vol 5 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Iryna Borshchova ◽  
Siu O’Young
Keyword(s):  
Image Processing ◽  
Visual Servoing ◽  
Low Cost ◽  
Field Tests ◽  
Processing Algorithm ◽  
Prototype System ◽  
Image Processing Algorithm ◽  
Suggested Approach ◽  
Content Type ◽  
Moving Platform

Purpose The purpose of this paper is to develop a method for a vision-based automatic landing of a multi-rotor unmanned aerial vehicle (UAV) on a moving platform. The landing system must be highly accurate and meet the size, weigh, and power restrictions of a small UAV. Design/methodology/approach The vision-based landing system consists of a pattern of red markers placed on a moving target, an image processing algorithm for pattern detection, and a servo-control for tracking. The suggested approach uses a color-based object detection and image-based visual servoing. Findings The developed prototype system has demonstrated the capability of landing within 25 cm of the desired point of touchdown. This auto-landing system is small (100×100 mm), light-weight (100 g), and consumes little power (under 2 W). Originality/value The novelty and the main contribution of the suggested approach are a creative combination of work in two fields: image processing and controls as applied to the UAV landing. The developed image processing algorithm has low complexity as compared to other known methods, which allows its implementation on general-purpose low-cost hardware. The theoretical design has been verified systematically via simulations and then outdoors field tests.

Low-Cost Interactive Image Processing.

1972 ◽  
Author(s):  
Emily G. Johnston ◽  
Azriel Rosenfeld
Keyword(s):  
Image Processing ◽  
Low Cost

Image Processing for Solar Cell Analysis, Diagnostics and Quality Assurance Inspection

2013 ◽  
pp. 338-375
Author(s):  
Michael G. Mauk
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Quality Assurance ◽  
Solar Cell ◽  
Process Development ◽  
Low Cost ◽  
Scale Up ◽  
Image Capturing ◽  
Infrared Cameras ◽  
Primary Focus

Image capturing, processing, and analysis have numerous uses in solar cell research, device and process development and characterization, process control, and quality assurance and inspection. Solar cell image processing is expanding due to the increasing performance (resolution, sensitivity, spectral range) and low-cost of commercial CCD and infrared cameras. Methods and applications are discussed, with primary focus on monocrystalline and polycrystalline silicon solar cells using visible and infrared (thermography) wavelengths. The most prominent applications relate to mapping of minority carrier lifetime, shunts, and defects in solar cell wafers, in various stages of the manufacturing process. Other applications include measurements of surface texture and reflectivity, surface cleanliness, integrity of metallization lines, uniformity of coatings, and crystallographic texture and grain size. Image processing offers the capability to assess large-areas (> 100 cm2) with a non-contact, fast (~ 1 second), and modest cost. The challenge is to quantify and interpret the image data in order to better inform device design, process engineering, and quality control. Many promising solar cell technologies fail in the transition from laboratory to factory due to issues related to scale-up in area and manufacturing throughput. Image analysis provides an effective method to assess areal uniformity, device-to-device reproducibility, and defect densities. More integration of image analysis from research devices to field testing of modules will continue as the photovoltaics industry matures.

scholarly journals Doses and forms of Azospirillum brasilense inoculation on maize crop

2018 ◽  
Vol 22 (6) ◽  
pp. 373-377 ◽  
Author(s):  
José M. K. Santini ◽  
Salatiér Buzetti ◽  
Marcelo C. M. Teixeira Filho ◽  
Fernando S. Galindo ◽  
Daniel N. Coaguila ◽  
...  
Keyword(s):  
Azospirillum Brasilense ◽  
Low Cost ◽  
Leaf Tissue ◽  
Physical Characteristics ◽  
Maize Crop ◽  
Nutrient Contents ◽  
Randomized Design ◽  
Zn Content ◽  
Completely Randomized Design ◽  
The Impact

ABSTRACT In search of a more sustainable agriculture, the use of beneficial microorganisms has been highlighted, because they are low-cost and can reduce the use of fertilizers and increase grain yield. The present study aimed to evaluate the efficiency of A. brasilense inoculation and the best form and dose of inoculation in maize, measuring the impact on some physical characteristics and on its nutrition. The experiment was conducted in a greenhouse, in Ilha Solteira, SP, Brazil, in a completely randomized design, with four replicates and eight treatments: 1) control; 2) Seed 1x; 3) Seed 2x; 4) Soil 1x; 5) Soil 2x; 6) Leaf 1x; 7) Leaf 2x; 8) Seed 1x + Leaf 1x, respectively representing in each treatment the site and dose of application (1x, dose recommended by the manufacturer; 2x, twice the dose recommended by the manufacturer). No differences were found in any physical characteristics evaluated between treatments; however, for nutrient contents in the leaf tissue, there was effect on Zn content. It was concluded that, regardless of the presence of A. brasilense inoculation, forms or dose (in hybrid DKB 350), in general, there were no improvements in the characteristics evaluated.

A Low-cost Image Processing Based Technique to Estimate Chlorophyll in Winter Wheat

2019 ◽  
Author(s):  
Sree Nirmillo Biswash Tushar ◽  
Tapos Pal ◽  
Sree Sourav Das ◽  
Md Mehedi Imam ◽  
Mohammad Istiaque Reja
Keyword(s):  
Image Processing ◽  
Winter Wheat ◽  
Low Cost
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