Laser dot matrix detection and two-dimensional calibration algorithm
Laser dot array detection and two-dimensional calibration algorithms are used to identify separable laser points, establish point sequence correspondence, and compare shortcomings, multiple points, point distances, and two-dimensional position deviations. It can also be used to map equipment instructions to actual landing points on the working plane, for tasks such as VCSEL, DOE point projection and galvanometer calibration.
Project Judgment Summary
Process tasks and input
The correct number of points does not mean that the point spacing and arrangement are correct, and the good fit of the calibration points does not mean that other positions in the workplace are accurate. The algorithm handles candidate point extraction, reference matching and independent set-out verification separately.
Input requirements: reference lattice/point number, actual original frame, allowable displacement and point distance range; two-dimensional calibration also requires instructions on the working plane - observation of corresponding points and independent set aside points. Pulse array requires exposure/trigger recording.
| Function | processing content | current base |
|---|---|---|
| Dot matrix extraction and correspondence | Output candidate points and quality, and then match them based on the distance relationship in the same reference system; point order, occlusion and redundant point processing are configured according to the scene. | Already have the basis for candidate extraction and distance matching |
| Lattice geometry comparison | Calculate point distance, center difference, missing/extra points and registration residuals, and do not directly regard the camera grayscale difference as the transmission power difference. | Geometric calculations have been performed; the real array recipe needs to be verified |
| Two-dimensional mapping and hold-out testing | Use independently collected corresponding points to fit the working surface mapping, and use set-aside points, two-way trajectories and temperature retests to evaluate the effective range. | Two-dimensional mapping is available; on-site inspection is left to be completed |
Output content
| result | unit or form | Instructions for use |
|---|---|---|
| point by point results | Point number, px/calibrated plane mm | Candidate points, matched points and mismatch points are separated |
| Geometric deviation | Point distance, displacement, registration residual | Reference template and work plane versions are saved with the results |
| 2D mapping | Mapping parameters/residuals of the agreed coordinate system | Calibration sets and hold-out sets are not mixed. |
Applicable conditions and boundaries
Applicable tasks: separable and numberable lattice, projection registration of fixed working surface, galvanometer field calibration and return path difference analysis.
Dense overlap, coherent crosstalk, symmetric point order ambiguity and missing point conditions require special treatment. Currently matching by distance is not equivalent to universal 3D structured light decoding; 2D mapping does not replace hand-eye, TCP or any 3D calibration.
Verification basis and delivery scope
Existing point extraction, matching, polynomial mapping and error propagation have been verified with synthetic/controlled geometry. The real dot matrix crosstalk, pulse exposure, equipment control interface and on-site tolerance have not yet been accepted.
Lattice formulas, matching/calibration interfaces, reference and set-out data, residual reports and re-labeling instructions can be delivered within the agreed scope. Whether to write back to the scanning controller and which device protocols are supported shall be specified separately in the implementation order.
Requirement confirmation information: Provide reference pattern, original frame, number of points/point pitch, driving and exposure methods, working surface range and allowable defects/position errors.
FAQ
Does a shortcoming necessarily mean that the transmitter has failed?
Not necessarily. Occlusion, exposure, crosstalk or inseparable points may also cause missed points. Candidate causes should be returned and reviewed in conjunction with device information.
Can the original calibration continue to be used after changing the lens?
Cannot be used by default. The validity of the calibration needs to be re-confirmed after changes in the working distance, lens, installation and working surface.
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 dot matrix detection and two-dimensional calibration algorithm
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com