Search
×
FR

Placeholder headline

This is just a placeholder headline

API TR 5C3: Calculating Performance Properties of Pipe Used as Casing or Tubing

$

422

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 671: Special Purpose Couplings for Petroleum, Chemical and Gas Industry Services

$

502

BUY NOW

Placeholder headline

This is just a placeholder headline

Technical Report API TBD-10: Chapter 10 Surface and Interfacial Tension

$

176

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 671: Special Purpose Couplings for Petroleum, Chemical and Gas Industry Services: Errata 2

$

0

BUY NOW

Placeholder headline

This is just a placeholder headline

MSS SP-44-2026: Steel Pipeline Flanges

$

450

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 576: Inspection of Pressure-relieving Devices

$

460

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 591: Process Valve Qualification Procedure

$

226

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 576: Inspection of Pressure-relieving Devices: Addendum 1

$

0

BUY NOW

ISO 14997:2022

ISO 14997:2022 Optics and photonics – Test methods for surface imperfections of optical elements – Part 2: Machine vision

CDN $115.00

SKU: b97f9c43dc55 Category:

Description

This document provides guidance for the use of machine vision to objectively assess grades of surface imperfections as defined on a drawing using ISO 10110-7 with equivalent results as those obtained by applying the inspector-based methods described in ISO 14997-1.

This document also gives guidelines on how to setup a machine vision device regarding fidelity, repeatability and reproducibility, based on the dark field detection principles of ISO 14997-1.

Edition

1

Published Date

2022-08-26

Status

PUBLISHED

Pages

11

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document provides guidance for the use of machine vision to objectively assess grades of surface imperfections as defined on a drawing using ISO 10110-7 with equivalent results as those obtained by applying the inspector-based methods described in ISO 14997-1.

This document also gives guidelines on how to setup a machine vision device regarding fidelity, repeatability and reproducibility, based on the dark field detection principles of ISO 14997-1.

Previous Editions

Can’t find what you are looking for?

Please contact us at: