Evidence map›Paper›PMID 42796150›Full record

ReviewMicromachines2026

Two-Dimensional, Vision-Based Measurement for Experimental Characterization of Planar Compliant Mechanisms: A Critical Review and Uncertainty-Aware Framework.

Rohan R Ozarkar, Nilesh P Salunke, Prajitsen G Damle, Shakeelur Raheman, Khursheed B Ansari

Abstract readReview
In one paragraph

Review in Micromachines, 2026. 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.

Rohan R OzarkarDepartment of Mechanical Engineering, R. C. Patel Institute of Technology, Shirpur 425405, India.ORCID 0000-0001-5953-2368
Nilesh P SalunkeDepartment of Mechanical Engineering, SVKM's NMIMS Global University, Dhule 424001, India.
Prajitsen G DamleDepartment of Mechanical Engineering, Shram Sadhna Bombay Trust's College of Engineering and Technology, Jalgaon 425001, India.
Shakeelur RahemanDepartment of Applied Science and Humanity, SVKM's NMIMS Global University, Dhule 424001, India.
Khursheed B AnsariDepartment of Chemical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.ORCID 0000-0002-6440-3170

Funding

King Khalid University RGP. 2/236/46
6 · The paper itself

Abstract

In planar compliant mechanisms, single-input dual-output (SIDO) displacement amplifiers driven by piezoelectric actuators are frequently used in precision positioning, micro/nano manipulation, and biomedical microdevices. Accurate experimental verification of these mechanisms remains challenging because traditional contact sensors can add excess stiffness and impact the structure's normal behavior, and single-axis interferometers cannot measure multiple points simultaneously. In contrast, 2D vision-based measurement offers a non-contact alternative capable of capturing full planar motion and synchronized displacement tracking within a single image frame. This paper reviews the literature on camera calibration, homography-based planar reconstruction, sub-pixel edge extraction, vision-based characterization of compliant mechanisms, and benchmarking of vision systems against laser interferometers and coordinate measuring machines (CMMs). In the review, the SIDO-CDAM developed by Ozarkar et al. based on the Instantaneous Center Building Block (IC-BB) approach has been chosen as the target characterization system. The reviewed studies confirm that the major technical components needed for a high-precision 2D vision framework have been independently validated. However, there seems to be a lack of an integrated framework designed for synchronized dual-output SIDO-CDAM characterization. To overcome this gap, a seven-layer 2D vision-based characterization framework is proposed for scalable inspection of prototype-scale and MEMS-scale compliant mechanisms.

Indexed as

2D measurementcamera calibration and digital image correlationkinematic characterizationmachine visionOpenCVplanar and compliant mechanisms

Identifiers

PMID42796150
PMCPMC13609846

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.