Multi-Camera Spatial Measurement and Triangulation

Scope and project-specific requirements

Critical decision conditions

Distinguish ground-plane mapping from true 3D localization and test height-induced error when targets leave the calibrated plane.

Candidate technical approach

These are candidate implementation paths. Establish a baseline on real samples, then select or combine methods for imaging, speed and deployment constraints. Model names do not imply measured project results.

Inputs for assessment

Provide drawings/datums, range and tolerances, traceable references, surface materials, working distance, camera arrangement, calibration conditions and cycle time.

Deliverables and interface agreement

Joint calibration, coordinate service, error and health status

Specify input formats, output fields, coordinates/units, error states, versions and invocation methods. Define review and failure handling. The statement of work determines the exact scope of source code, executables, model files or analysis reports.

Acceptance method and measures

Distinguish resolution, absolute error and repeatability. Compare independent references across the working range, record calibration residuals and environmental/pose changes, and assess the measurement system where required.

These are measures to agree and test, not achieved-performance claims. Freeze samples, reference truth, thresholds and hardware/software versions before acceptance; report subgroup results and failures, identifying under-sampled conditions as uncovered.

Implementation and procurement stages

1. Define scope

   Agree targets, stations, inputs and responsibilities in a statement of work, separating required and excluded conditions.

2. Sample validation

   Use representative samples to test critical risks, document feasibility/failures and scope the next-stage estimate.

3. Development and integration

   Implement agreed functions and interfaces with configuration/change records; use offline replay before authorized device or site integration.

4. Acceptance and handover

   Retest against individual measures and hand over contracted artifacts with known limits; manage maintenance, expansion and changeovers as subsequent work packages.

Scope limits and licensing

Pixel resolution is not measurement accuracy. Include occlusion, reflections, vibration and thermal drift in the error budget; confirm statutory metrology obligations separately.

Candidate technologies are not license clearance. Check code, model weights, training data and dependency versions separately. Replace, license or exclude components unsuitable for the intended commercial delivery. Customer data is not used for public training by default.

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