The AI uses images to determine good parts from bad. After an image is registered, the target's brightness and shape are used to automatically determine which target features should be inspected during operation. This image-based method provides stable detection of targets that are difficult to handle when using conventional sensors with light intensity-based detection.
The AI Series can be used for a wide variety of applications. Examples include spring presence, label misalignment, screw tap presence, capacitor direction determination, and felt presence. In addition, the AI Series is capable of performing these detections over an area, which prevents errors due to variations in position or vibrations of targets.
With the AI Series, installation and tuning is incredibly simple. Because of the AI Series' ability to detect over an area, there no need to worry about mounting in just-the-right spot. This means less time spent designing the solution. The AI Series also features 2-touch tuning, similar to conventional Keyence sensors. Furthermore, users can see the current live view from the sensor, drastically reducing the time and effort required for installation and configuration.
IX Series image-based laser sensors can measure height anywhere within the area. Camera-based image recognition allows the laser to detect the height of the target point even when workpieces are not perfectly aligned on the production line. The height of where the laser hits the target will vary if the target is tilted or if the target itself is different, but the IX Series can identify the difference in height against the reference. For example, in a parts assembly line, a single IX Series unit can not only check for the presence of parts, but also perform seating checks and other height-based inspections. Thanks to its ability to detect height differences, the IX Series is also free from false detections and errors in the presence of glare from glossy surfaces of metal parts or when the detection target point has the same color as the background, offering stable automatic inline differentiation.
Achieve unmatched stability by utilizing an intuitive artificial intelligence algorithm. No vision programming knowledge required for stable results.
Difficult applications that formerly required multiple conventional photoelectric sensors or proximity sensors can now be tackled easily and at low cost with one IV Series vision sensor.