Similar to many aspects of automation, machine vision technology has experienced improvements as new and better technology becomes available. Advances in chip technology and lower barriers to entry are just a few factors that have helped machine vision technology advance.
IoT Analytics recently shared its analysis of three trends pushing the boundaries of machine vision with AutomationWorld.com. The company notes in AutomationWorld's article, that users of machine vision technologies should take note of these advancements, as they will be key for improved machine vision performance and ensure return on investment. IoT Analytics notes the following as the three major trends to watch.
This paper examines highly sensitive piezoelectric sensors for precise vibration measurement which is critical in semiconductor production to prevent quality and yield issues....
Motor encoders are rotary encoders adapted to provide information about an electric motor shaft's speed and/or position. Like rotary encoders, motor encoders are most commonly...