Low-Cost Interactive Image Processing.

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.

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A Raspberry Pi based camera system and image‐processing procedure for low‐cost and long‐term monitoring of forest canopy dynamics

Methods in Ecology and Evolution ◽

10.1111/2041-210x.13610 ◽

2021 ◽

Author(s):

M. Wilkinson ◽

M.C. Bell ◽

J.I.L. Morison

Keyword(s):

Image Processing ◽

Forest Canopy ◽

Low Cost ◽

Raspberry Pi ◽

Camera System ◽

Processing Procedure ◽

Long Term Monitoring ◽

Term Monitoring

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.186.11 ◽

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.

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

Quaestiones Geographicae ◽

10.2478/quageo-2021-0031 ◽

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.

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Marker-guided auto-landing on a moving platform

International Journal of Intelligent Unmanned Systems ◽

10.1108/ijius-10-2016-0008 ◽

2017 ◽

Vol 5 (1) ◽

pp. 28-42 ◽

Cited By ~ 4

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.

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A Low Cost Image Processing Device for Blind Spot Monitoring

Advanced Microsystems for Automotive Applications 98 ◽

10.1007/978-3-662-39696-4_13 ◽

1998 ◽

pp. 139-148

Author(s):

G. Burzio ◽

G. Vivo ◽

E. Lupo

Keyword(s):

Image Processing ◽

Low Cost ◽

Blind Spot ◽

Processing Device

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

Handbook of Research on Solar Energy Systems and Technologies ◽

10.4018/978-1-4666-1996-8.ch014 ◽

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.

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