by Josh Hodgkinson, Omron
In today’s manufacturing environment, the human eye cannot inspect FMCG at high speed therefore a new approach to quality control is needed.
Electricity+Control, April 2017 (pages 8, 9)
Enquiries: Omron Electronics. Tel. +27 (0) 11 579 2600 or email email@example.com
In today’s manufacturing environment, the human eye simply cannot inspect Fast Moving Consumer Goods (FMCG) at high speed ... let alone measure label positions, cap dimensions or read barcode information. That is why a new approach to quality control is needed. Enter the Omron FH Series Vision Controller (further referred to as the Vision Controller), the best in its class in sensing applications requiring high speed and precision.
It features a high level of programming capability, customisable tools for any industry, high resolution and high-speed cameras. The Vision Controller described in this article is therefore truly revolutionary.
For those unfamiliar with Vision Inspection/Automation Systems (VIS), these comprise a camera, some form of controller, and software to perform the required tasks and Inputs and Outputs (I/Os). A sensor would typically trigger the camera to take an image of the product once it has reached the correct position.
A major advantage of this technology is parallel processing for high-speed inspection, which also allows for in-line external inspection. Significantly, the trigger interval has been reduced by up to 75%. In general, when multiple inspections are carried out simultaneously, there is a time lag until the next inspection can take place. Parallel processing by means of a multi-core CPU not only speeds up the inspection time, but greatly reduces this waiting period as well.
• The Vision Controller described represents a new approach to quality control.
• It is considered to be the best in its class in sensing applications requiring high speed and precision.
• In short, this Vision Controller is revolutionary.
Download the full article on New Approach to Quality Control Calls for Elimination of Human Error in PDF format.