Method for Identifying and Counting Objects

Pohudina, Olha; Kritskiy, Dmitriy; Bykov, A. N.; Szalay, Tibor

doi:10.1007/978-3-030-37618-5_15

Cited by 5 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-combines spatial information as a digital mock keel proposed in work [14]; -verifies the approach set out in [15] as a totality of spatial information (geometry, structure, design, and functioning) about the examined keel with technological equipment tools.…”

Section: Discussion Of Results Of Studying the Accuracy Of The Geometry And Shape Of A Keelmentioning

confidence: 91%

“…However, the positioning of AOs in the space for assembly units is not considered. The solution is given in [15], which reports the recognition methods and the algorithm for positioning an experimental AO in space. However, the verification of the proposed approach is not shown; no ways to associate it with the means of technological equipment are considered.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of reengineering technology to ensure the predefined geometric accuracy of a light aircraft keel

Maiorova

Vorobiov

Boiko

et al. 2021

EEJET

View full text Add to dashboard Cite

The subject of this research is the technology of reengineering and control of parts of aircraft objects (AOs) and technological equipment for their manufacture. The predefined accuracy of the keel of a light aircraft and molding surfaces of technological equipment for its manufacture has been ensured by using reengineering technology and CAD systems. A portrait of the actual physically existing keel of a light aircraft was built in the *.stl file format using the software Artec Studio (USA). The control and comparison of the geometry of the shapes of the analytical standard with the actual physically existing keel of a light aircraft based on its portrait have been implemented. The methods used are the analysis and synthesis of the experimental geometry of shapes, the method of expert evaluations. The following results were obtained: based on the analysis and synthesis, the presence of significant errors in the accuracy of the manufacture of the keel for a light aircraft in the range from −5.26 mm to +5.39 mm was detected. It has been shown that the key factor is the keel's relative plane indicator, which is outside the tolerance margin and is 85 %. It was decided to fabricate new technological equipment from another material – organic plastics. Control of the technological equipment made from organic plastics for the keel of a light aircraft showed that the shape-forming surfaces of the equipment have appropriate shapes and sizes corresponding to the existing analytical standard and are devoid of inaccuracies that occurred in the previous version. The range of keel margins that was made using the new technological equipment from organic plastics is from –0.51 mm to +0.34 mm while the relative plane of the keel outside the tolerance margin does not exceed 15 %. The study results showed the adequacy of the decisions taken, ensuring the predefined accuracy for the keel of a light aircraft and molding surfaces of technological equipment for its manufacture.

show abstract

Section: Discussion Of Results Of Studying the Accuracy Of The Geometry And Shape Of A Keelmentioning

confidence: 91%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Implementation of reengineering technology to ensure the predefined geometric accuracy of a light aircraft keel

Maiorova

Vorobiov

Boiko

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…To extract all possible information from each nodule, we used the OpenCV library [38]. The employed method is similar to the algorithms presented in [39,40]. In our specific case, our machine vision development extracted the following parameters: the number of nodules mm 2 of each nodule and the summation, the average of the graphite area, the percentage of particles in the area, and a percentage of the nodularity.…”

Section: Handling Nodule Sizesmentioning

confidence: 99%

An Objective Metallographic Analysis Approach Based on Advanced Image Processing Techniques

Sarrionandia

Nieves

Bravo

et al. 2023

JMMP

View full text Add to dashboard Cite

Metallographic analyses of nodular iron casting methods are based on visual comparisons according to measuring standards. Specifically, the microstructure is analyzed in a subjective manner by comparing the extracted image from the microscope to pre-defined image templates. The achieved classifications can be confused, due to the fact that the features extracted by a human being could be interpreted differently depending on many variables, such as the conditions of the observer. In particular, this kind of problem represents an uncertainty when classifying metallic properties, which can influence the integrity of castings that play critical roles in safety devices or structures. Although there are existing solutions working with extracted images and applying some computer vision techniques to manage the measurements of the microstructure, those results are not too accurate. In fact, they are not able to characterize all specific features of the image and, they cannot be adapted to several characterization methods depending on the specific regulation or customer. Hence, in order to solve this problem, we propose a framework to improve and automatize the evaluations by combining classical machine vision techniques for feature extraction and deep learning technologies, to objectively make classifications. To adapt to the real analysis environments, all included inputs in our models were gathered directly from the historical repository of metallurgy from the Azterlan Research Centre (labeled using expert knowledge from engineers). The proposed approach concludes that these techniques (a classification under a pipeline of deep neural networks and the quality classification using an ANN classifier) are viable to carry out the extraction and classification of metallographic features with great accuracy and time, and it is possible to deploy software with the models to work on real-time situations. Moreover, this method provides a direct way to classify the metallurgical quality of the molten metal, allowing us to determine the possible behaviors of the final produced parts.

show abstract

“…Many studies, including those by Waymo engineers, consider the use of machine learning to solve autopilot control tasks. For example, they use neural networks to analyse the traffic situation and make driving decisions [1][2][3][4].…”

Section: Analysis Of the Latest Research And Publicationsmentioning

confidence: 99%

“…The main difficulty here is the lack of formalisation of the concepts of "fast" and "slow", as well as the difficulty in determining whether the interaction between the outer and inner loop is too strong (for example, closing the outer loop may degrade the efficiency of the inner loop, requiring the synthesis to be performed again). The bandwidth of the outer loop is usually chosen to be 5-10 times smaller than that of the inner loop [2]. The advantage of this approach is the ability to use state-space methods for the full coupled dynamics of the UAV.…”

Section: Performing Research 1 Development Of Control Laws For the Fl...mentioning

confidence: 99%

Development of Control Laws of Unmanned Aerial Vehicles for Performing Group Flight at the Straight-Line Horizontal Flight Stage

Barabash,

Kyrianov

2023

A.I.S.

View full text Add to dashboard Cite

The article proposes an improved approach to controlling groups of unmanned aerial vehicles (UAVs) aimed at increasing the overall efficiency and flexibility of the control process. The use of a heterogeneous external field, which varies both in magnitude and direction, allows achieving greater adaptability and accuracy in controlling a group of UAVs. A vector field for unmanned aerial vehicles determines the direction and intensity of the vehicles' movement in space. Such vector fields can be used to develop UAV control laws, including determining optimal flight paths, controlling speed, avoiding obstacles, and ensuring coordination of a group of UAVs. The subject of the study is the methods of controlling groups of autonomous UAVs, where each vehicle may have different speeds and flight directions. To solve this problem, various methods of using a heterogeneous field have been developed and proposed. Instead of using a homogeneous field that provides a constant flight speed, a vector field is used that adapts to different conditions and characteristics of the vehicles in the group. This method allows for effective group management, ensuring the necessary coordination and interaction between the vehicles. An analysis of recent research and publications in the field of autonomous system control indicates the feasibility of using machine learning, vector fields, and a large amount of data to successfully coordinate the movement of autonomous systems. These approaches make it possible to create efficient and reliable control systems. The aim of the study is to develop laws for controlling the movement of a group of autonomous unmanned aerial vehicles at the stage of straight-line horizontal flight based on natural analogues to improve the efficiency and reliability of their coordinated movement in different conditions. The main conclusions of the research are that the proposed method of controlling groups of UAVs based on a heterogeneous field can be implemented. It takes into account a variety of vehicle characteristics and environmental conditions that are typical for real-world use scenarios. This work opens up prospects for further improving the management of UAV groups and their use in various fields of activity. The article emphasises the relevance of technology development for autonomous unmanned systems, especially in the context of autonomous transport systems.

show abstract

Method for Identifying and Counting Objects

Cited by 5 publications

References 7 publications

Implementation of reengineering technology to ensure the predefined geometric accuracy of a light aircraft keel

Implementation of reengineering technology to ensure the predefined geometric accuracy of a light aircraft keel

An Objective Metallographic Analysis Approach Based on Advanced Image Processing Techniques

Development of Control Laws of Unmanned Aerial Vehicles for Performing Group Flight at the Straight-Line Horizontal Flight Stage

Contact Info

Product

Resources

About