Machine-Vision Based Defect Detection Algorithm for Packaging Bags

The Quality Control of the Automatic Manipulating Process of a Flexible Container When Bulk Materials are Packaged

“…The developed system supports the most popular open standards data transfer protocol, oindustrial Ethernet, which secures the possibility of reliable connection to PLCs and a wide spectrum of automation devices along with simple adjustment of the interface by point-and-click; this facilitates the configuration and service of all user machine vision systems from any computer in a network and archivation of data and images on a file server as well. The development of machine vision systems for the control and diagnostics of processes of the packaging and packing of foodstuffs, including bulk materials, was presented in [8,11]. However, they did not consider the possibility of scaling, i.e., readjustment on various pieces of technological equipment.…”

“…All these disadvantages were considered during the development of the represented machine vision system, and the obtained system was constructed using a neural network algorithm to secure the system's self-learning capability. The development of machine vision systems for the control and diagnostics of processes of the packaging and packing of foodstuffs, including bulk materials, was presented in [8,11]. However, they did not consider the possibility of scaling, i.e., readjustment on various pieces of technological equipment.…”

“…Different manual and automatic methods can be used for control of the FC gripping accuracy [6][7][8][9][10][11]. The algorithms which are used in automatic systems of FC gripping control can be divided into using a reference, based on the control of design rules and hybrid algorithms.…”