Evidence map›Paper›PMID 40102556›Full record

ArticleScientific reports2025

Online high speed detection method for end face quality of cored filter rods under complex conditions.

Yuhui Zhou, Bin Wei, Guang Yang, Jie Li, Hongjie Chang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuhui ZhouFaculty of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China.
Bin WeiFaculty of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China. weibin0@126.com.
Guang YangFaculty of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China.
Jie LiShijiazhuang Information Engineering Vocational College, Shijiazhuang, 052161, China.
Hongjie ChangFaculty of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China. sjzchj@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the current high-speed real-time inspection demand faced in the production of filter rods with cores and the limitations of traditional quality control methods, this study proposes a high-speed online inspection method based on machine vision. As the production speed of filter rods increases, the traditional inspection methods cannot meet the real-time and accuracy requirements in a high-speed environment, while the restricted production environment and more disturbing factors lead to an increase in the detection error. Therefore, this paper proposes an efficient visual inspection method, which combines the ellipse fitting algorithm to accurately obtain the coordinates of the filter rods and their mandrel centre points, and evaluates the mandrel deviation through the Euclidean distance calculation to judge the product qualification. The experimental results show that the system is capable of inspecting at a rate of 4200 pcs per minute in a complex environment with a defect detection rate of more than 95%. The technology significantly improves the inspection efficiency and product quality of the filter rod production line, providing a reliable intelligent inspection solution for the filter rod manufacturing industry.

Indexed as

Ellipse fittingFilter rod qualityIntellectualizeMachine visionOnline high-speed

Identifiers

PMID40102556
PMCPMC11920281

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.