# API’s Optical CMM Brings 9D LADAR Into Automated Production Inspection https://cncoutlook.com/news/api-optical-cmm-automated-inspection/ By CNC Outlook Editorial · 2026-07-22 API's Optical CMM couples automated motion with a non-contact LADAR sensor. Its point-capture speed is a supplier specification, not proof of faster accepted-part inspection. [API's Optical CMM]() is designed to move non-contact inspection closer to production. The July 2026 introduction combines its 9D LADAR sensor with automated motion, but the distinction for a machine shop is between collecting surface data and obtaining a trustworthy dimensional decision. API describes single-point measurements as well as raster scans that build dense surface data. Its published acquisition figure is up to 20,000 points per second, with micron-level accuracy claimed by the manufacturer. Those figures describe sensor capability under specified circumstances; they should not be interpreted as a guaranteed inspection rate or uncertainty on every production component. Two configurations define the advertised scale. The OPM1 is aimed at a measuring volume around 1.5 metres on each axis, while the larger OPM2 is described for components and assemblies requiring a larger envelope. The system can combine a vertical lift and rotary table with its SIM3 motion controller and MeasurePro software, or with compatible third-party metrology tools. The distinction between measurement range and a particular fixture arrangement matters when planning the cell. ## Sensor range is only the starting specification []()Sensor acquisition speed should also be separated from feature-extraction speed. An inspection report may require circles, cylinders, flatness or positional characteristics derived from thousands of measured points. The software's fitting method and the part's datum scheme determine how those numbers are calculated. For an automated cell, the same feature definitions should be locked to the correct drawing revision and attached to the measured workpiece identity. Otherwise the system can collect a dense point cloud yet fail to provide trustworthy process feedback. API's description of reflective and translucent surface capability also warrants a targeted demonstration. A laser's ability to return a signal does not prove sufficient uncertainty for a tight tolerance. Shops should select a reference with several surface conditions, scan it from the intended orientations, and compare results with an established traceable method. This is particularly important where a measurement will determine whether a costly machined or welded component proceeds to assembly without further checks. []()Twenty thousand points collected in a second do not necessarily produce twenty thousand useful measurements. ## When scan data becomes a machining decision []()Non-contact capture may be particularly attractive for fragile or inaccessible surfaces. But a point cloud does not independently establish that a part meets its drawing. A measurement plan still has to identify datums, specify tolerances, control alignment and trace calibration to an appropriate reference. That gap becomes important when an optical measurement is used to change a machining offset. If the selected point cloud is incomplete or aligned against the wrong surfaces, a digitally calculated correction can be precise yet incorrect. Inspection teams should therefore validate a representative component across finishes, reflectivity and incidence angles, including any surfaces that are difficult for the optical sensor to see. []()The key test for an Optical CMM installation is therefore not the size of its point cloud. It is whether the system can load a real part, recognize its datums, report the required characteristics and pass an agreed reference check before the next machining operation begins. ## Sources & References - [API Introduces Automated Optical CMM for Non-Contact Inspection]() — Metrology and Quality News (2026-07-22T12:00:00Z) © CNC Outlook. See https://cncoutlook.com/terms/ for reuse terms.