What question did this study set out to answer?

The aim is to conduct statistical analysis on coordinates from a technical vision system to establish coordinate relationships and develop an optimal regression model.

April 22, 2026Программные системы и вычислительные методыOpen Access

Statistical analysis of the coordinates of observation objects using machine vision

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The aim is to conduct statistical analysis on coordinates from a technical vision system to establish coordinate relationships and develop an optimal regression model.
Constructed a linear regression model using angular and linear coordinates from machine vision data.
Applied multivariate linear regression on three observed objects, utilizing pixel and distance features.
Implemented gradient descent to minimize error in the regression model using Python.
Developed an optimal regression model that accurately represents object trajectories within the camera's field of view.
Achieved a lower mean squared error, indicating increased precision in coordinate predictions.
Generated a heat map demonstrating Pearson correlation among coordinate features.

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Implication

Statistical analysis uncovers coordinate relationships in observed objects, suggesting improved accuracy for video systems.

Cite This Study

Mihed et al. (2026) studied this question.

synapsesocial.com/papers/69e867356e0dea528ddeb8ff https://doi.org/10.7256/2454-0714.2026.1.78637

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Statistical analysis of the coordinates of observation objects using machine vision

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Implication

Cite This Study

Statistical analysis of the coordinates of observation objects using machine vision

Key Points

Discussion

Implication

Cite This Study

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