ARCHITECTURAL PHOTOGRAMMETRY: A LOW-COST IMAGE ACQUISITION METHOD IN DOCUMENTING BUILT ENVIRONMENT

2021 ◽  
Vol 20 (81) ◽  
Author(s):  
Yohannes Firzal
Keyword(s):  
Built Environment ◽  
Low Cost ◽  
Image Acquisition ◽  
Acquisition Method

scholarly journals Mask R-CNN Based C. Elegans Detection with a DIY Microscope

Biosensors ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 257
Author(s):  
Sebastian Fudickar ◽  
Eike Jannik Nustede ◽  
Eike Dreyer ◽  
Julia Bornhorst
Keyword(s):  
Cell Biology ◽  
High Throughput Screening ◽  
Low Cost ◽  
Image Acquisition ◽  
Rapid Development ◽  
Model Organism ◽  
Large Data ◽  
Data Set ◽  
C Elegans ◽  
Do It Yourself

Caenorhabditis elegans (C. elegans) is an important model organism for studying molecular genetics, developmental biology, neuroscience, and cell biology. Advantages of the model organism include its rapid development and aging, easy cultivation, and genetic tractability. C. elegans has been proven to be a well-suited model to study toxicity with identified toxic compounds closely matching those observed in mammals. For phenotypic screening, especially the worm number and the locomotion are of central importance. Traditional methods such as human counting or analyzing high-resolution microscope images are time-consuming and rather low throughput. The article explores the feasibility of low-cost, low-resolution do-it-yourself microscopes for image acquisition and automated evaluation by deep learning methods to reduce cost and allow high-throughput screening strategies. An image acquisition system is proposed within these constraints and used to create a large data-set of whole Petri dishes containing C. elegans. By utilizing the object detection framework Mask R-CNN, the nematodes are located, classified, and their contours predicted. The system has a precision of 0.96 and a recall of 0.956, resulting in an F1-Score of 0.958. Considering only correctly located C. elegans with an [email protected] IoU, the system achieved an average precision of 0.902 and a corresponding F1 Score of 0.906.

scholarly journals The Method of Automatic Knuckle Image Acquisition for Continuous Verification Systems

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 624
Author(s):  
Rafal Doroz
Keyword(s):  
Pattern Recognition ◽  
Image Acquisition ◽  
Test Results ◽  
High Effectiveness ◽  
Camera Image ◽  
Automatic Location ◽  
Pattern Recognition Approach ◽  
Computer Keyboard ◽  
Verification Systems ◽  
Acquisition Method

The paper proposes a method of automatic knuckle image acquisition for continuous verification systems. The developed acquisition method is dedicated for verification systems in which the person being verified uses a computer keyboard. This manner of acquisition enables registration of the knuckle image without interrupting the user’s work for the time of acquisition. This is an important advantage, unprecedented in the currently known methods. The process of the automatic location of the finger knuckle can be considered as a pattern recognition approach and is based on the analysis of symmetry and similarity between the reference knuckle patterns and live camera image. The effectiveness of the aforesaid approach has been tested experimentally. The test results confirmed its high effectiveness. The effectiveness of the proposed method was also determined in a case where it is a part of a multi-biometric method.

An Iris Image Acquisition Method Based on Embedded System

2013 ◽  
Vol 313-314 ◽  
pp. 1197-1200
Author(s):  
Qi Jian Sun ◽  
Zheng Ma
Keyword(s):  
Embedded System ◽  
Traditional Method ◽  
Quality Evaluation ◽  
Control Function ◽  
Image Acquisition ◽  
High Quality ◽  
Iris Image ◽  
Acquisition Speed ◽  
Pass Through ◽  
Acquisition Method

Capturing an iris image rapidly is required for iris image acquisition embedded system. For the traditional method, an iris image must firstly pass through the quality evaluation, which is complex, so the acquisition speed is very slow. This paper described an iris acquisition embedded system, and a new capturing method. The system includes an DSP DM642, and some relevant peripherals. When an image is acquired, it is filtered by the capture-control function, if passed then be stored the image, until capturing the assigned amount. Using this method, we can rapidly capture the high quality iris images at about 0.8s, and 83% of the stored images can be used for the next procedure. At the same time, it is convenient for the user to capture.

Why amending building codes? An investigation of the benefits of regular building code amendment in New Zealand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amarachukwu Nnadozie Nwadike ◽  
Suzanne Wilkinson
Keyword(s):  
New Zealand ◽  
Built Environment ◽  
Low Cost ◽  
Significant Proportion ◽  
Construction Materials ◽  
Building Code ◽  
Ground Shaking ◽  
Content Type ◽  
Building Collapse ◽  
The Impact

PurposeThe New Zealand building code has played a vital role in reducing the impact of disasters in the built environment. Following the nature of earthquake occurrences, the associated impacts such as building collapse and the increase in technological innovation in the building sector, the New Zealand building code has been frequently amended. The building code amendment ensures that buildings and other related infrastructures can withstand the impact of ground shaking without substantial damages to buildings. The purpose of this paper is to identify and explore the benefits of building code amendments in New Zealand.Design/methodology/approachDocument analysis and closed-ended questionnaire were adopted as data collection instruments for this study. The relevant stakeholders comprise structural engineer, geotechnical engineer, architect, building services consulting engineer, licensed building practitioner, project manager, building contractor, local authority, academic/researcher and quantity surveyor.FindingsA significant proportion of the survey participants that agreed to the importance of building code amendments in New Zealand justify the benefits of the amendments. The study serves as a useful guide to policy regulators and researchers who are exploring other aspects of regular building code amendments in New Zealand. The findings from this study suggest that amending the New Zealand building code needs a proactive approach to promote local technology, enhance low-cost construction materials, training of code users and reducing bureaucracy in design approval and construction inspection. The study concludes that improving on the 28 factors identified in this study would contribute intensively to disaster risk reduction in the built environment and an increase in compliance level in New Zealand.Originality/valueThis paper originality comes from its practical approach towards identifying the benefits of building code amendments

New automated iris image acquisition method

2005 ◽  
Vol 44 (5) ◽  
pp. 713 ◽  
Author(s):  
Kang Ryoung Park
Keyword(s):  
Image Acquisition ◽  
Iris Image ◽  
Acquisition Method

An evaluation on CT image acquisition method for medical VR applications

2017 ◽  
Author(s):  
Seong-wook Jang ◽  
Junho Ko ◽  
Yon-sik Yoo ◽  
Yoonsang Kim
Keyword(s):  
Image Acquisition ◽  
Ct Image ◽  
Acquisition Method

The Research and Design of Portable Leaf Disease Spots Image Acquisition System

2011 ◽  
Vol 128-129 ◽  
pp. 1480-1483
Author(s):  
Kai Song ◽  
Zhe Wang ◽  
Feng Ju Shen
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Image Acquisition ◽  
Processing System ◽  
Image Features ◽  
Acquisition System ◽  
Ultra Low Power ◽  
Real Time Processing ◽  
Leaf Disease ◽  
Image Acquisition System

The crop leaf disease spots image recognition technology has a great significance in identifying diseases and in effective spraying of pesticides to liminate diseases. We researched and designed the portable leaf disease spots image acquisition system since current PC-based processing system is high cost and lack of flexibility and real-timing, This system uses a high-performance 32-bit DSP chip based DM642 as its main processor, and also uses ultra-low power consumption and ultra-small size video decoder chips, large-capacity memories and high-performance communicator interfaces. As a result of the reasonable design of hardware architecture, this system realized leaf disease spots image features collecting and processing ，video transmitting, and achieved strong real-time processing capability, easy operation, low cost, anti-interference ability and other characteristics. The system prototype works well, and meets the design requirements.

scholarly journals Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric Crop-Surface Monitoring

2014 ◽  
Vol XL-7 ◽  
pp. 43-49 ◽  
Author(s):  
S. Brocks ◽  
G. Bareth
Keyword(s):  
Plant Height ◽  
Precision Agriculture ◽  
Low Cost ◽  
Image Acquisition ◽  
Coefficient Of Determination ◽  
Average Height ◽  
Smart Cameras ◽  
Growth Variability ◽  
Growing Period ◽  
Surface Models

Crop-Surface-Models (CSMs) are a useful tool for monitoring in-field crop growth variability, thus enabling precision agriculture which is necessary for achieving higher agricultural yields. This contribution provides a first assessment on the suitability of using consumer-grade smart cameras as sensors for the stereoscopic creation of crop-surface models using oblique imagery acquired from ground-based positions. An application that automates image acquisition and transmission was developed. Automated image acquisition took place throughout the growing period of barley in 2013. For three dates where both automated image acquisition and manual measurements of plant height were available, CSMs were generated using a combination of AgiSoft PhotoScan and Esri ArcGIS. The coefficient of determination <i>R</i><sup>2</sup> between the average of the manually measured plant heights per plots and the average height of the developed crop surface models was 0.61 (<i>n</i> = 24). The overall correlation between the manually measured heights and the CSM-derived heights is 0.78. The average per plot of the manually measured plant heights in the timeframe covered by the generated CSMs range from 19 to 95 cm, while the average plant height per plot of the generated CSMs range from 2.1 to 69 cm. These first results show that the presented approach is feasible.

Sign in / Sign up

Export Citation Format

Share Document