Parameters​ ​of​ ​3D​ ​sensing​ ​techniques​ ​in​ ​a​ ​nutshell

Share this on social media:

This article is brought to you by: 

Machine Vision is one of the driving forces of industrial automation. For a long time, it’s been primarily pushed forward by improvements made in 2D image sensing and, for some applications, 2D sensing is still an optimal tool to solve a problem. But the majority of challenges machine vision is facing today has a 3D character. From well-established metrology up to new applications in smart robotics, 3D sensors serve as a main source of data. Here, we discuss the parameters of 3D sensing techniques.

Related resources

Related webcasts and white papers

16 March 2021

Many machine vision applications such as OCR/barcode reading on bottles and containers, or defect detection inside threaded bores require inspecting features randomly located both on the part outer or inner sides, and on the top and bottom surfaces. This paper describes the advantages of using special optics designed for 360° inspection (either using a pericentric design or various lens/mirror combinations) versus multi-camera systems or line-scan imaging.

03 November 2020

Deep learning image analysis is opening factory automation opportunities across a wide range of industries. However, plant managers rightly hesitate to risk their existing qualified processes in favour of a new technology’s potential rewards. Here are five areas to consider before deploying a first pilot project to avoid costly missteps and lost time.

16 March 2021

Many machine vision applications such as OCR/barcode reading on bottles and containers, or defect detection inside threaded bores require inspecting features randomly located both on the part outer or inner sides, and on the top and bottom surfaces. This paper describes the advantages of using special optics designed for 360° inspection (either using a pericentric design or various lens/mirror combinations) versus multi-camera systems or line-scan imaging.

08 March 2021

Ruggedised lenses address some of the challenges faced in environments with high levels of vibration, shock, and moisture. Edmund Optics explores the features and advantages of different types of ruggedisation in imaging lenses.

30 November 2020

Our panel of experts discussed how vision can help advance robot automation and improve uptake of robotics in manufacturing