It all started with the development of the controller stepper motors. Experience in research projects, in research and development of new technical devices was enough to create a decent product. The project has been developing for several years, algorithms and electronics have improved. By 2011 we receive an order for the development and supply of controllers to a large plant of Standa Ltd. (Lithuania), which develops and manufactures automated optomechanical devices and is one of the largest and most well-known precision optomechanics factories around the world. The products of the plant are widely used in scientific laboratories and research, in industries that require precise positioning accuracy of objects.
Experience has allowed us to identify many of the problems encountered when working with complex electronic equipment in scientific organizations, in enterprises that are engaged in research and development.
Work with customers' problems and with specialized equipment made it possible to understand which problems most often arise for customers (lack of documentation, the inability to order a new board, the need to speed up the problem localization process, etc.), and what is missing in modern products designed for assistance in localizing faults on electronic boards.
The totality of all this knowledge has brought an understanding that troubleshoot to repair complex control boards of scientific equipment and to test experimental batches, we need a solution that we can combine several types of equipment: a system for automatic recognition of electronic components on printed circuit boards based on the use of machine vision technologies , a simple testing method that does not require substantial knowledge about the test object, as well as an automatic testing system.
These three points turned out to be implemented in the automatic system for finding faulty electronic components on EyePoint P10 printed circuit boards. The system combines an automatic board scanning system to create a highly accurate image of the board, an automatic recognition system for electronic components on the image with automatic reference to the coordinates of objects on the board, and an automatic test system using the method of analog signature analysis. When creating the equipment, the experience of developing controllers for controlling three-axis positioners from Standa was useful. The EyePoint P10 system provides 30 μm flying probe accuracy.