Pointools, a laser scanning
data processing software specialist, has released the latest version of
Pointools 4 Rhino. Delivering point cloud display technology into Rhinoceros 3D modeling
software means that designers can visualize their designs within a real-world
context. Pointools allows 3-D models to be created from the millions of 3-D
measurements collected by laser scanning devices.
Rhinoceros 3D is a stand-alone modeling tool
commonly used for industrial, marine, jewelry, graphic and automotive
design, as well as architecture, CAD/CAM, rapid prototyping, reverse engineering
and multimedia. Pointools 4 Rhino enables users to benefit from Rhino's
powerful design toolset within a point cloud context and is ideal for
visualizing, modeling and drawing.
Working with 100s of millions of laser points Rhino users can now utilize
different point shading settings in each viewport to optimize each view. Rapid
viewport sections allow the user to easily make any orthographic view into a
section view, choose its thickness and dynamically update its position by
grabbing the section in another viewport. The Pointools plug also enables
the construction plane to be linked to the section view so the user is always
drawing in the right place. Also included are powerful region tools for
selection and manipulation of the data, providing a fast easy way to view only
the data required.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.