The lens is responsible for creating sufficient image quality to enable the vision system to extract the desired information about the object from the image.

Machine vision is an integral part of the manufacturing process for many different industries. Manufacturers ensure the safety, consistency and integrity of the products produced through proper inspection, while being assured that defective parts are rejected from the production line.

Machine vision is a familiar technology in manufacturing and industry, and is used in an ever-growing range of tasks from simple code reading and assembly verification to robotic guidance and 3-D profiling.

High-resolution and high-speed digital cameras are taking on a critical role in military and aerospace applications as the industry strives to achieve real-time image acquisition requirements while meeting an ever increasing demand for more “pixels on target.”

Machine vision as a subset of computer science has been around for more than 20 years.

Short wave infrared (SWIR) machine vision imaging is a key tool in manufacturing and industrial processes to measure, monitor, control or otherwise manage the reliable and quality-conforming production of goods that do not respond well to standard range machine vision cameras.

Previously considered bulky, expensive and complex to interpret, machine vision technology has undergone continuous improvements to become an integral part of quality control for industrial or manufacturing production lines.

Counting objects in an image seems like an easy task, which can be automated through machine vision and image analysis, but it becomes difficult when objects touch, move randomly, or are hard to distinguish from their background.