During the anti-epidemic period, many non-mask-making factories began to produce masks by themselves to cope with the rapid spread of the global epidemic. During the production process, there were some defects such as ear rope falling off, asymmetric tooth arrangement, damaged stains, etc. These defects seriously affected the quality of masks and reduced their usability. Because of the huge output, it is difficult to detect the quality of products accurately and stably with human eyes.
In the smart factory of the future, each production link is clearly visible and highly transparent, and the whole workshop runs orderly and efficiently. In "Industry 4.0", based on the original control functions, the automation equipment can add some new functions, so as to realize the intelligent requirements of product life cycle management, safety, traceability, energy-saving, etc. These new functions added to the production equipment mean that by configuring many sensors for the production line, the equipment has the perception ability, and the perceived information is transmitted to the cloud computing data center through the wireless network. Through big data analysis and decision-making, the automation equipment has the intelligent function of self-discipline management, thus realizing the intelligence of the equipment.
Vision is mainly to install a pair of sensitive "eyes" for industrial machines so that the machines can not only "see" but also "feel", which is mainly used to detect some complex graphic recognition tasks. Nowadays, more and more industries need such inspection, such as textile and fiber, casting and injection molding, automobile steel plate surface, packaging and printing, and so on. These fields are where machine vision is very useful.
Every type of manufacturing enterprise has different requirements for sensor types, performance loads, deep learning algorithms, etc. of machine vision, and it involves the integration of multi-disciplinary technologies, so it is difficult to find a universal machine vision solution. Machine vision solution providers need to customize it according to the different needs of customers, which improves the integration difficulty of solutions.
During the anti-epidemic period, many non-mask-making factories began to produce masks by themselves to cope with the rapid spread of the global epidemic. During the production process, there were some defects such as ear rope falling off, asymmetric tooth arrangement, damaged stains, etc. These defects seriously affected the quality of masks and reduced their usability. Because of the huge output, it is difficult to detect the quality of products accurately and stably by human eyes. In the automatic production process, machine vision can be used to assist in the inspection of mask defects, so as to reduce the circulation of inferior masks in the market.
Inspection points of finished masks:
Check the LOGO, whether it is missing, defective, or displaced.
Whether the mask holes and overlapping pressure lines are smooth, and whether the four rows of holes on both sides are standard and clear.
The nose piece is present, missing, and offset.
JWIPC machine vision controller provides professional industrial machine vision hardware, which has the advantages of strong performance, low power consumption, outstanding stability, and scalability. It can not only import standard algorithms but also deliver customized algorithms through artificial intelligence model training to meet the customization needs of various industries. Intelligent AIBOX-KBU machine vision controller is equipped with Intel SKL/KBL-U chipset, Intel Core i5-7200U/i7-7500U processor, and Intel Movidius Myriad X vision processor, and it integrates a vision accelerator card, motion control card, vision software, platform software, light source and controller, industrial camera and lens, video capture card and vision algorithm, which can effectively meet the requirements of machine vision control.
The intelligent machine vision inspection equipment of JWIPC makes use of advanced artificial intelligence technology, which helps to strictly control the quality of masks, greatly improves the production efficiency of masks, saves labor costs, and enables the public to use better masks. At the same time, JWIPC Industrial Group also provides a complete industrial automation scheme, contributing to the integration and upgrading of the manufacturing industry and accelerating the realization of the vision of an "unmanned factory"!