Laser target alignment and motion trend analysis algorithm
The laser target alignment and motion trend analysis algorithm takes a fixed target surface or reflected light point as the observation object, and calculates the reference position difference, return spread, low-frequency trajectory and calibrated angular pendulum candidates. It is oriented to optical and mechanical assembly and adjustment, shaft hole installation and motion table retesting. The output is a defined observation component, not an uncalibrated complete spatial pose.
Project Judgment Summary
Process tasks and input
Alignment errors may come from the workpiece, target eccentricity, laser source, or holder; motion trends may also be hidden by filtering. The algorithm needs to preserve the reference geometry, original observations and statistical results at the same time.
Input requirements: continuous frames of light points, target numbers and mechanical reference relationships, camera/target surface calibration; optical path/double-angle geometry is also required for reflection angle tasks, and timestamps and independent references are required for dynamic tasks.
| Function | processing content | current base |
|---|---|---|
| Correspondence between benchmark and target | Calculate the horizontal and vertical deviation according to the clear target surface and indexing conditions, and check the relationship between the reference point and the workpiece datum. | The basis for point/two-dimensional calibration already exists; the datum association needs to be adapted. |
| Angle swing and return | The angle is converted under the applicable optical lever model, the movement of the incident point and the translation of the target are separated, and the clamping/transposition residual is recorded. | Return statistics are available; angle pendulum geometry needs to be developed and verified |
| Time series and trends | The original points and invalid frames are retained, drift, periodic characteristics and repeatability are calculated within the actual bandwidth, and can be reviewed before and after filtering. | The timing basis can be reused; the actual sampling bandwidth needs to be verified |
Output content
| result | unit or form | Instructions for use |
|---|---|---|
| Align/Return | Target surface px/mm or calibrated angle | State the true observed degrees of freedom |
| sports trends | Time Series, Spectrum and Statistics | Attached sampling frequency, invalid frame and filter configuration |
| Retest records | Target/station number, calibration and installation rounds | After reinstalling, you need to verify whether the reference is still valid. |
Applicable conditions and boundaries
Applicable tasks: optical axis return, axis hole center relative reference observation, precision stage lateral deviation and low-frequency motion recording.
Cannot restore any six degrees of freedom with a target; does not include robot TCP, hand-eye, device safety control, or closed-loop controller by default. Bands beyond the camera sampling and exposure support cannot be inferred from frame extraction results.
Verification basis and delivery scope
Point positioning, two-dimensional calibration and repeatability have reference implementation and synthetic/controlled geometry verification, and some timing basic modules have public derived data verification; the overall machine values of shaft system indexing, reflection geometry and target operating conditions still need to be Test independently.
Adapt the observation, calibration and reporting interface to a defined alignment/motion task, clarify the reference target, time/coordinate agreement and failure status; develop and verify the control part separately when closed loop is required.
Requirement confirmation information: Provide the measured action, actual target/mirror installation relationship, reference datum, sampling conditions, motion frequency band and degrees of freedom that need to be observed.
FAQ
Does the fact that the points in the image are not moving mean that the device has not been displaced?
Not necessarily. A single point may remain unchanged when the laser source, target, and device move together, or when motion occurs in unobserved directions.
Can the bearing fault category be output directly?
Existing trends and spectra do not automatically form a fault diagnosis model, and fault categories require corresponding sensing, samples, and verification.
Enterprise project promotion and acceptance
- scope confirmationClarify the objects, workstations, inputs, outputs, units, interfaces and abnormal conditions that must be covered.
- Sample verificationUse representative normal and abnormal samples to establish a baseline and record what works, what fails, and data gaps.
- Development joint debuggingComplete the algorithm, calibration, interface and equipment adaptation according to the approved scope, and retain the version, parameters and abnormal status.
- Item acceptanceUse independent samples and reference value retests to confirm errors, detection, tempo, stability and deliverables respectively.
Define the Development Scope with Samples and Device Requirements
Laser target alignment and motion trend analysis algorithm
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com