Industry Application Solution · CASE-03Application plan, no customer on-site acceptance record has been formed

Galvanometer scanning field two-dimensional calibration and return difference analysis application plan

This solution corresponds the galvanometer command to the actual laser landing point on the fixed working surface, generates a two-dimensional mapping and residual map, and uses independent set aside points and two-way trajectories to evaluate the workplace error.

Illustration of the processing chain from camera input to algorithm, calibration, business output and sub-item acceptance of laser points, dot matrix and laser lines
Processing chain diagram. The actual optical path, calibration, interface, output and acceptance indicators are confirmed by project.

Project Judgment Summary

Page natureEnterprise application plan, no customer on-site acceptance record has been formed
imaging inputLaser dot or dot matrix
main outputWorking surface mapping, set-out point residuals, forward and reverse differences, and temperature retest records
Prerequisites for implementationWorking surface reference point, scan command, forward and reverse trajectories and independent set aside points
Current status:Application plan, no customer on-site acceptance record has been formed

Tasks and image input

Looking at only a few center points or calibrating fit errors does not account for the consistency of field edges, thermal states, and round-trip scans.

Input data: calibration grid, command and image points, independent set-out points, two-way repeating trajectory and temperature/working distance records.

Algorithm processing and output

Light point positioning → working surface coordinate correspondence → two-dimensional mapping fitting → leaving inspection → head-to-head or round-trip travel difference.

Output results: mapping parameters, full-field residuals, maximum error location, return difference and applicable working surface description.

Implementation and verification

Delivery of acquisition/calibration interface, reserved data, residual report and re-calibration rules; writing back to the galvanometer controller is not included by default.

Verification method: Verify the remaining points with independent position reference, and count them separately according to edge, two-way, hot state and repeated clamping. You cannot only report the training point residuals.

Applicable boundaries and existing basis

Two-dimensional working surface calibration does not cover any height or three-dimensional processing; the lens, installation and working distance need to be reviewed after changes.

The two-dimensional polynomial mapping has been verified with controlled geometry; on-site calibration, equipment delay and controller access are still to be completed.

Corresponding algorithm:Laser dot matrix detection and two-dimensional calibration algorithm。

Enterprise project promotion and acceptance

  1. scope confirmationClarify the objects, workstations, inputs, outputs, units, interfaces and abnormal conditions that must be covered.
  2. Sample verificationUse representative normal and abnormal samples to establish a baseline and record what works, what fails, and data gaps.
  3. Development joint debuggingComplete the algorithm, calibration, interface and equipment adaptation according to the approved scope, and retain the version, parameters and abnormal status.
  4. Item acceptanceUse independent samples and reference value retests to confirm errors, detection, tempo, stability and deliverables respectively.
Project consultation

Define the Development Scope with Samples and Device Requirements

Galvanometer scanning field two-dimensional calibration and return difference analysis application plan

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com

The information filled in will only be used for evaluation and contact for this project. Please do not submit unauthorized personal information or sensitive data.