Camera Selection

Camera Selection Principles

1. Clear view: The camera can clearly capture images so that the point cloud of the object is clear with minimum holes or noises, and the features can be fully recognized and displayed.

2. Complete coverage: The field of view is sufficient to cover everything necessary.

3. Accurate results: The point cloud is highly accurate with munimum error.

Camera Selection Standards

Monochrome/Color

If there is a need for color images, such as using deep learning for carton depalletizing projects, select a color camera; otherwise, please select a monochrome camera by default.

Distance

• Applications of small depth of field:

  • The distance from the camera to the object is relatively fixed.

  • Examples are flat plate gluing, flat plate gripping, shallow bin picking, etc.

  • Suppose the solution design or measured distance is D. An available model with applicable distance closest to D will be selected.

  • If the available model’s applicable distance is significantly different from D, or the project has extremely high focus requirements, the requirements can be discussed separately.

• Applications of large depth of field:

  • The distance from the camera to the object is within a large range.

  • Examples are depalletizing, deep bin picking, etc.

  • Suppose the solution design or measured distance range is D1–D2 (D1<D2). An available model with applicable distance closest to D2 will be selected.

  • If the available model’s applicable distance is significantly different from D2, or the project has extremely high focus requirements, the requirements can be discussed separately.

For detailed camera features and specifications of different models, please see Camera Models.