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Application areas for vision systems

Machine vision is used for a diverse range of tasks in a wide range of markets. This diversity of application requirements drives the need for a wide range of vision systems to achieve a solution that is not only cost effective but also delivers the required features. This section outlines the basic choices in terms of hardware and software at a systems level to enable this optimum solution to be defined. Further information on the software tools can be found in the software section.

The most significant area of use for machine vision systems is in line as part of the production process. Online inspection systems acquire images of products at machine speed and are immediately analysed by the system, providing instant results at the speed of the manufacturing process. These on-line systems are also called real-time systems and depending on the application, the result can be a simple pass/fail, or more complex information in production analysis and control applications. Depending where positioned in the production process an inline vision system can simply reject a defective part ensuring defective parts never reach the next stage of the production process where it may create additional cost, or if positioned at the end of the line can prevent defective products reaching the final customer.

In process control applications measurement information from the vision system can provide either feedback to the process upstream, ensuring manufacturing tolerances are kept within specification, or downstream in applications such as robotics, where location size and orientation can accurately guide a robot thus simplifying mechanical handling.

Offline systems in contrast do not provide instantaneous result data and are mainly used for recording information for later analysis. These systems include high-speed recording and analysis of special processes, or data collection in scientific experiments. These are termed offline systems as there is no real-time decision or data transmission needed.