The machine vision industry is witnessing a surge in novel technologies with the potential to have a long-term impact. 3D imaging would be a perfect example.
FREMONT, CA: 3D imaging enables profile views of a surface or object. The primary benefit of 3D imaging is in enabling 3D locations. Furthermore, images created thus are quite. This implies that the images thus formed enable the software to process changes in depth more than changes in shadows or surface color features.
3D Imaging has undoubtedly made a much-needed transition from being an emerging technology to an inevitable part of the machine vision sector. However, specific challenges assume significance while practically implementing 3D imaging. For instance, 3D imaging regarding metrology and Vision Guided Robotics (VGR) requires high-end resolutions, both in-depth and horizontal. Incorporation of 3D imaging on the surface could be straightforward; however, specific applications require more precision and effort.
In the case of applications, where the imaging system or the object is in movement, errors in the position of any of these might pave the way for measurement errors, which need to be considered.
Almost all of the 3D imaging systems show a certain level of 3D data drop-out. 3D data drop-out is a condition in which shadowing of features related to the camera angles and active illumination leads to an undesirable void in 3D information.
However, it is possible to overcome this impending challenge through a few imaging technologies as per the application.
Also, not all 3D machine vision applications are prime time ready. For instance, applications picking up random-oriented or homogeneous objects have been practically easy and well-solved. Further, these processes are considered genetically viable in some of the cases.
On the contrary, picking unknown and heterogeneous objects might still be challenging for 3D imaging. Moreover, in many instances, reconstructing a surface or an object for differentiation or measurement might be equally challenging in 3D forms. This is due to the need for several images to completely analyze and model the parts.