Last month, NASA's Mars Perseverance rover landed on the red planet after 5.5 months of traveling through space. The rover's primary mission is to search for signs of ancient microscopic life and collect the first ever Martian soil samples for analysis.

Have you ever wondered if machine vision could be used to solve your manufacturing applications? Are you interested in integrating machine vision into your process, but you don't know where to start?

Many questions surround artificial intelligence (AI). A common one among non-users is: Can something artificial truly produce real-world benefits? Increasingly, manufacturers in the automotive industry are ready and able to provide an affirmative answer.

Automation engineers have developed ingenious ways to mechanically singulate and orient parts in a feeder bowl.

any assembly operations begin with the scanning of a 1D or 2D bar code. The code might tell an assembler what parts to install and how to install them.

In its latest report, BCC Research projects the global drug delivery market to grow to nearly $227.3 billion by 2020, with a compound annual growth rate of 4.9 percent. This is great news for the French company Nemera, which designs and manufactures world-class drug delivery devices for the pharmaceutical industry.

Every manufacturer has one want and many needs. The want is universal, to be the leader in its industry or area of specialty. The needs are individual, and may concern issues as diverse as increasing capital, upgrading technology, expanding plant size or hiring more assemblers.

Many machine vision projects start with one goal: significantly improve upon the accuracy and repeatability of human inspectors.

The automotive industry experienced a record number of vehicle recalls in 2018, and this year's tally isn't far behind. Many of those issues have been caused by electronics or software glitches.

For many years, pet food manufacturers have used machine vision software to verify the presence of unique characters, codes, colors and graphic shapes on packaging for dog and cat food. Today, however, these companies can complement this process by also verifying the presence of a dog or cat image on the packaging using deep learning vision software.