Sources: http://www.graphene-lda.com/designer-portal/root-cause-analysis/case-studies/pharmas-in-the-machine.html and http://www.automation.com/library/articles-white-papers/vision-sensors-systems/packagers-choose-machine-vision-quality-inspection-to-reduce-waste-and-boost-roiThe following example demonstrate how computer vision has been used in controlling the baking quality of biscuits. In addition to the quality check for defects, the oven temperature control system gets a feedback signal for correcting the oven temperature based on the product requirement. Source: http://www.opli.net/opli_magazine/imaging/2013/close-inspection-of-vehicle-components-vision-2014-news/ Strip products are long workpieces such as pipes, rails, wires, or boards that are manufactured at high flow velocities. The speed of production and the small size of the object creates a big difficulty in quality control however successfully addressed by the computer inspection system as shown below for fire manufacturing. Source: http://phys.org/news/2014-04-optical-wire-pipe-rails-meters.html Glass sheets; another difficult application. See below figures on how two LED lights, 25 cameras, and 25 PCs work together to detect any defects on a glass surface. Source: Grading of lumber, cattle or chicken is a very difficult task for a computer vision system. The human eye is commonly used for this kind of application. But, a computer vision system installed near the front end of the chicken-processing line in the following figure finds the defects such as improperly bled birds and those afflicted by systemic diseases. Source: http://www.gtri.gatech.edu/casestudy/counting-their-chickens-researchers-use-machine-vi The advantages of computer vision technology can be summarized as below.
- improved quality control (precision and repeatability prevents defective products from being shipped to customers)
- reduced labor cost
- improved productivity due to high-speed processing capability and continuous operability 24/7
- Applicability in difficult conditions (eg. Where light levels are too low or too bright for human vision, clean rooms and hazardous environments where a human cannot survive)