Loading of Tracked Vehicles under their Own Power on a Trailer under the Control of a Machine Vision System

Roshchin, D. A.

doi:10.1007/s11018-022-02045-0

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Laszlo et al [25] concentrate their work on preventing pharmaceutical waste from getting into the soil via telling incoming pills from different categories in terms of fractal. Roshchin [26] kept eye open the application in video surveillance for moving target by simulating human vision, computer functions, and the image acquisition device. Pengfei et al [27] made an effort to move object monitoring and intelligent tracking measurement for video supervision with algorithms through formulas and comparison between the accuracy and success rate, and experiment.…”

Section: Introductionmentioning

confidence: 99%

Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique

Huang

et al. 2023

Int. J. Ind. Optim.

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Flexible food packaging in the market is increasingly favored, and its quality is essential and indispensable for safety and convenience. However, quality inspection still stays in the manual stage, or partially manual inspection remains, in production, leading low efficiency, lack and even false inspection, hardly meeting the requirements of the modern output. This paper proposes and optimizes the design of an automatic detection system with intelligence for flexible food packaging bag, which can effectively be adopted to check the quality of packaging trademark patterns, fillers, and sealing quality. The inspection system runs with two-stage structure, machine vision, pressure sensing and synchronization to improve efficiency and ensure the normal production beat. Simplex Method is adopted to determine the best synchronous speeds online to achieve the best expectation. Comparison has been made between the manual inspection and our automatic operation, the sample of 10000 was statistically analyzed and results have shown that two workers were saved and the correctness rate of inspection raised up to 999.8‰.

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Section: Introductionmentioning

confidence: 99%

Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique

Huang

et al. 2023

Int. J. Ind. Optim.

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Improving the reliability of digital camera identification by optimizing the algorithm for comparing noise signatures

Kozlov,

Nikitin,

Rodin

et al. 2024

Meas Tech

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Improving the reliability of digital cameras identification by optimizing the noise portraits comparing

Kozlov,

Nikitin,

Rodin

et al. 2024

jour

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The issues of optimization of existing methods for digital camera sensor identification are considered. Ways of improvement of reliability of digital cameras identification is discussed. Homogeneous images were optically recorded to form a noise portrait and test sets of amateur images for 3 cameras of various types. An optimal digital filter was selected to evaluate smoothed images for obtaining noise portraits of identified cameras. Camera identification algorithm was optimized basing on a comparison of light spatial noise portraits. Application of the optimal filter and identity criterion provides an average increase of identification reliability of more than 60 times. The results can be useful in the areas of image registration and processing, security, forensics, big data analysis, etc.

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Loading of Tracked Vehicles under their Own Power on a Trailer under the Control of a Machine Vision System

Cited by 3 publications

References 8 publications

Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique

Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique

Improving the reliability of digital camera identification by optimizing the algorithm for comparing noise signatures

Improving the reliability of digital cameras identification by optimizing the noise portraits comparing

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