In countless production and manufacturing environments worldwide, machine vision and part identification systems are ensuring that millions of products meet stringent quality and safety requirements daily.
An effective reading system helps you improve efficiency and performance by eliminating defects, verifying assembly and tracking and capturing information at every stage of the production process.
The marketplace offers a wide range of models to meet all price and performance requirements.
To discuss your machine vision requirements with one of Routeco's Vision Specialists please contact a member of our team:
Phone: 0370 607 1000
To view Cognex's range of products, please click here.
Vision Sensors: A Class Apart
Vision sensors exhibit several characteristics which make them especially effective for factory automation.
Not to be confused with the digital sensors inside acamera, vision sensors are a category of machine vision system designed to perform simple presence/ absence inspections and deliver pass/fail results in unstructured environments.
Vision sensors combine a camera’s ability to take pictures with the processing power of a computer to make decisions
about the position, quality, and completeness of a manufactured part or product. Vision sensors include a library of software tools that perform different types of inspections, even performing multiple types of inspections and delivering multiple pass/fail results from a single acquired image.
Critically, and unlike other classes of sensors, vision sensors can handle multiple inspection points per target. Vision sensors
can also detect their targets by pattern, feature, and color. They can detect specific parts within a very wide region of interest, and can do so dynamically as the part moves along the line.
Vision tools are what ultimately set machine vision sensors apart from other sensors. Vision technology plays a very important role for even the most basic presence/absence inspections. Typical vision tools include pattern, pixel count, brightness, contrast, and edge tools. Notably, a vision sensor can inspect multiple targets within a single image, as well as perform multiple inspection types relying on different tools.
Pattern Tool: Used to reference an inspection tool, as well as to perform inspection and counting. Perform test on patterns with sharp contrast and on targets small enough to allow variability and asymmetry in the FOV.
Brightness Tool: Returns the average pixel brightness for a re gion of interest. Illumination must be stable and predictable.
Contrast Tool: Compares contrast across an entire region of interest. A useful tool if there are
unpredictable changes in failed parts.
Edge tool: Inspects for a high contrast “edge” along a specific path. Can set thresholds
to eliminate noise.
Pixel count tool: Returns the total number of pixels between a set range. This works well for large
Colour Pixel Count: Returns a number of pixels within a specified region of interest that meet trained
colors. This works best if illumination is applied evenly, since hotspots can cause problems.