You are reading the documentation for an older Pickit release (3.0). Documentation for the latest release (3.4) can be found here.


In the Setup page you define where you want Pickit to look for objects.


You can learn about the main ideas behind where to look for objects by watching this video tutorial.

Active cameras

One Pickit processor can be connected to two different Pickit cameras at the same time. This can be any combination of M/L cameras, or an HD and M/L camera combination. At the moment we do not support two HD cameras connected to the same processor.

Here you select which camera to use in the setup file. Each setup file should have exactly one active camera.


This option is only available if multiple cameras are connected to the processor.

Region of Interest

The Region of Interest box (ROI box) is the 3D region where object detection takes place.

In many applications, the field of view of the Pickit camera is greater than the region where we want to perform object detection. For example, in a bin picking application we are only interested in the contents of the bin. In the image below, we compare the camera field of view (3D in the Pickit viewer), with the contents of the ROI box (Points in the Pickit viewer).


By specifying a correct ROI box, we get faster detection times, as Pickit doesn’t have to look for objects where they are not expected.

The ROI box can also be used to prevent unwanted detections, for example if two bins are visible to the camera, but we only want to pick objects from one. Setting the ROI box around one of the bins will ignore the contents of the other.


For bin picking applications, the ROI box can be used for bin representation, by fitting it to the internal borders of the bin. Pickit then can (optionally) perform bin collision avoidance and prevention. Refer to the bin box article for more information on how to represent the bin in your application.

The ROI box can be defined and modified from the Setup page of the Pickit web interface, and the points contained in it can be visualized in the Points view.