Overcurrent-driven LEDs for consistent image colour and brightness in agricultural machine vision applications

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multifeedback model for energysaving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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Machine Vision, Let's Go into the Street

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss1987.117.10_1339 ◽

1997 ◽

Vol 117 (10) ◽

pp. 1339-1344

Author(s):

Katsuhiko Sakaue ◽

Hiroyasu Koshimizu

Keyword(s):

Machine Vision

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Machine Vision Technologies to Connect with Humans

The Journal of the Institute of Electrical Engineers of Japan ◽

10.1541/ieejjournal.125.692 ◽

2005 ◽

Vol 125 (11) ◽

pp. 692-695

Author(s):

Kazunori UMEDA ◽

Yoshimitsu AOKI

Keyword(s):

Machine Vision

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Multifunctional stereoscopic machine vision system with multiple 3D outputs

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.2.sda-142 ◽

2020 ◽

Keyword(s):

Machine Vision ◽

International Symposium ◽

Fast Track ◽

Vision System ◽

Machine Vision System ◽

Stereoscopic Displays ◽

Electronic Imaging

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.

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A Flying Gray Ball Multi-illuminant Image Dataset for Color Research

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2020.64.5.050411 ◽

2020 ◽

Vol 64 (5) ◽

pp. 50411-1-50411-8

Author(s):

Hoda Aghaei ◽

Brian Funt

Keyword(s):

Machine Vision ◽

Spectral Reflectance ◽

Color Constancy ◽

Ground Truth ◽

Practical Approach ◽

Post Processing ◽

Illumination Estimation ◽

Processing Step ◽

Image Dataset

Abstract For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.

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Te inf uence of ergonomic factors on the formation of occupational risk of health disorders of agricultural machine operators

Russian Journal of Occupational Health and Industrial Ecology ◽

10.31089/1026-9428-2019-59-7-400-405 ◽

2019 ◽

Vol 1 (7) ◽

pp. 400-405

Author(s):

Tamara A. Novikova ◽

Aleksey N. Danilov ◽

Vladimir F. Spirin

Keyword(s):

Physical Activity ◽

Functional Condition ◽

Anthropometric Data ◽

Agricultural Machine ◽

Machine Operators ◽

Health Disorders ◽

Space Layout ◽

Combine Harvesters ◽

High Degree ◽

The Impact

Introduction. T e leading place in the structure of occupational morbidity of agricultural machine operators is occupied by vertebroneurological diseases, the development of which can be associated with the impact of ergonomic factors of labor activity. T e aim of the study is to assess the ergonomic factors of working conditions on mobile agricultural machinery and to identify their impact on the formation of health disorders of agricultural machine operators. Materials and methods. Complex physiological and ergonomic researches at operation of tractors and combine harvesters of old samples of domestic production including an assessment of the organization of workplaces on compliance to requirements of ergonomics and anthropometric data of workers, temporary, statodynamic, biomechanical characteristics of working poses and movements, a functional condition of machine operators (130 people aged 20–45 years with professional experience of work not less than three years) in dynamics of a work shift are carried out. Anthropometric studies were conducted among male machine operators (663 people) aged 18–59 years and with experience in the profession for more than three years. Results. The discrepancy between the size and space-layout parameters of workplaces ergonomic requirements and anthropometric data of machine operators, causing the formation of uncomfortable working positions, increasing physical activity and the severity of the labor process. A high degree of correlation between changes in the parameters of the neuromuscular system and the severity of the discrepancy between the ergonomic parameters of anthropometric characteristics of machine operators (r=0,7). T e results of the research allowed to determine the priority measures for the prevention of vertebroneurological diseases in agricultural machine operators. Conclusions. T e organization of workplaces on domestic tractors and combine harvesters of old samples does not meet the ergonomic requirements and anthropometric data of machine operators, which is the reason for the formation of an uncomfortable working posture, increased statodynamic physical activity, early development of fatigue and fatigue in the process, which can cause the development of pathological conditions of the spine and ligamentous apparatus. Ergonomic improvement of workplaces is one of the priority measures to preserve the health of agricultural machine operators.

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Effect of Field Setup on Accuracy of Traffic Data Collection Using Machine Vision Technology

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1804-09 ◽

2002 ◽

Vol 1804 (1) ◽

pp. 62-66 ◽

Cited By ~ 1

Author(s):

Sunita Nadella ◽

Lloyd A. Herman

Keyword(s):

Machine Vision ◽

Focal Length ◽

Reference Points ◽

Specific Reference ◽

Traffic Data ◽

Video Traffic ◽

Vertical Angle ◽

Traffic Data Collection ◽

Camera Position ◽

Parameter Ranges

Video traffic data were collected in 24 combinations of four different camera position parameters. A machine vision processor was used to detect vehicle speeds and volumes from the videotapes. The machine vision results were then compared with the actual vehicle volumes and speeds to give the percentage errors in each case. The results of the study provide a procedure with which to establish camera position parameters with specific reference points to help machine vision users select suitable camera positions and develop appropriate measurement error expectations. The camera position parameters that were most likely to produce the least overall volume and speed errors, for the specific site and field setup with the parameter ranges used in this study, were the low height of approximately 7.6 m (25 ft), with an upstream orientation (traffic moving toward the camera), a 50-mm (midangle) focal length, and a 15° vertical angle.

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THE USE OF CASE STUDY METHOD IN TEACHING THE TERMINOLOGY IN THE FIELD OF AGRICULTURAL MACHINERY

10.36078/987654370 ◽

2019 ◽

pp. 123-130

Keyword(s):

Case Studies ◽

High Performance ◽

Mechanical Engineering ◽

The United States ◽

Machine Building ◽

Soil Tillage ◽

Case Study Method ◽

Agricultural Machine ◽

Manufacturing Machine

The scientific research works concerning the field of mechanical engineering such as, manufacturing machine slate, soil tillage, sowing and harvesting based on the requirements for the implementation of agrotechnical measures for the cultivation of plants in its transportation, through the development of mastering new types of high-performance and energy-saving machines in manufacturing machine slate, creation of multifunctional machines, allowing simultaneous soil cultivation, by means of several planting operations, integration of agricultural machine designs are taken into account in manufacturing of the local universal tractor designed basing on high ergonomic indicators. For this reason, this article explores the use of case studies in teaching agricultural terminology by means analyzing the researches in machine building. Case study method was firstly used in 1870 in Harvard University of Law School in the United States. Also in the article, we give the examples of agricultural machine-building terms, teaching terminology and case methods, case study process and case studies method itself. The research works in the field of mechanical engineering and the use of case studies in teaching terminology have also been analyzed. In addition, the requirements for the development of case study tasks are given in their practical didactic nature. We also give case study models that allow us analyzing and evaluating students' activities.

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