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.
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.
NEWCASTLE UPON TYNE, U.K.—Engineers at Newcastle University here are studying how the 3D vision used by praying mantises could lead to simpler visual processing systems in robots. They recently equipped insects with miniature glasses that were temporarily glued on with beeswax.
Vision systems are used to make critical measurements of parts and assemblies as part of a quality control system. Such measurements might be taken to determine the fitness of a component to progress to the next step in the manufacturing process, or they might be done at the end of the line prior to shipping the final product.
Vision systems play a vital role in automated assembly systems. They can check for the presence or absence of parts or materials. They can measure key dimensions of assemblies. They can tell robots the precise location of parts. They can even read 1D and 2D codes.
In every manufacturing industry, tradition is becoming less important. Companies no longer assume that what worked in the past will be enough to keep and gain customers. Instead, they look to the latest technology to improve manufacturing processes, optimize product quality and expand their customer base.