Heliovision has its own feasibility lab. The purpose of this feasibility lab is to thoroughly develop the scope and specifications of a machine vision job by creating a miniature version of the proposed system and testing its capabilities.

​

A neural network or algorithm can only work properly if the image stability and quality are great. That is why hardware selection is vital to a good working vision solution. 

​

Feasibility studies are used to determine the optimum:

​​

• Lighting strategy

• Lens selection

• Camera selection

• Equipment arrangement

 

Feasibility studies normally involve:

• Developing a thorough understanding of the client’s vision need

• Gaining knowledge of unique part and process variations

• Identifying:

  • defects that need to be detected for quality control

  • location for object location and robot guidance

• Acquiring sample products or parts that are to be inspected/located

• Mocking up complete vision configuration using cameras, lighting, and lenses

• Obtaining measurements to create a mechanical and electrical design to meet the requirements of the inspection system and plant facility

• Delivery of feasible pass/fail rate results and detailed system recommendations