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[Pharmaceutical Network Market Analysis] During the injection molding process of pharmaceutical products, due to raw material problems, unstable mechanical equipment, improper manual operation and other factors, the appearance of the medicine bottle is often accompanied by some defects, including black spots, cracks, breakage, and flas.
At this time, in order to ensure the quality and safety of the product, the inspection personnel need to carry out strict inspection and chec.
Traditional testing cannot meet the high-speed production requirements of pharmaceutical companies? Machine vision technology helps to overcome the disadvantages (Image source: Pharmaceutical Network) However, traditional visual inspection has obvious shortcomings, including low detection accuracy, low efficiency, high error rate, time-consuming and labor-intensive, and high labor cost.
In recent years, with the rapid development of the domestic pharmaceutical industry, pharmaceutical companies have carried out large-scale production, and traditional visual inspection has been unable to meet the requirements of high-speed production of pharmaceutical companie.
The shortcomings of traditional visual inspection in the industry need to be overcome urgentl.
With the development and application of new technologies such as AI and computers, the emergence of machine vision technology has brought new expectations and surprises to the detection of drug delivery bottle.
The so-called machine vision technology is a non-contact, non-destructive automatic detection technology, which can meet the requirements of high efficiency and high precision in the inspection process of pharmaceutical companies' bottles, improve product quality, reduce costs, and avoid the occurrence of manual visual inspectio.
safety hazard.
At present, machine vision technology has been applied to the medicine bottle inspection machines of some pharmaceutical factorie.
The medicine bottle inspection machine obtains the characteristic information of the product surface image through automation, intelligence and precision control, and performs surface defect positioning, identification, classification, et.
Discrimination, statistics, analysis and other operations to achieve the purpose of improving detection efficiency and ensuring product qualit.
It can be directly connected with other unscramblers and balers to complete the whole process automation from material sorting, testing to packaging, further improving product technology and reducing cost.
In addition, a number of domestic pharmaceutical machine manufacturers have actively seized new trends and launched machine vision system solutions in a timely manne.
They can design solutions according to the actual needs and requirements of users, and "solve problems" for pharmaceutical companie.
It is reported that there are pharmaceutical machine manufacturers actively exploring and practicing AI image visual detection, focusing on AI algorithms based on deep learning, covering the entire technology chain of light, machinery, electricity, computing, and software, through powerful image analysis, to judge the detected objects, And make decisions on classification and processing, launch a visual inspection solution, provide a new inspection mode for pharmaceutical companies to inspect product quality before leaving the factory, as well as remote operation and maintenance, central control management platform and other service.
Some manufacturers have also launched intelligent vision system solutions based on the technical difficulties of traditional medical label detectio.
According to reports, the system has a high recognition rate for the detection characters of medicine bottle.
"Under high-speed operation, an average of 600 medicine bottles can be detected per minute, and the detection content, data and statistical content can also be displayed in real tim.
" In addition, signals that do not meet the requirements of laser marking will be automatically rejected, and remote sensing can be achieve.
Distance can coordinate work at the same tim.
Medicines are special commodities and are related to human health and safet.
Medicine bottles are a common form of packaging for medicines and play an important role in logistics and transportation, storage of medicines, and maintenance of efficac.
If the bottle body is defective but not detected and rejected, it may bring hidden dangers to the quality and safety of drugs, and even affect the health and safety of patient.
The emergence of machine vision technology and medicine bottle inspection machine will solve the problem of medicine bottle manufacturer.
The disadvantages of high labor intensity and high cos.
Disclaimer: Under no circumstances does the information or opinions expressed in this article constitute investment advice to anyon.
At this time, in order to ensure the quality and safety of the product, the inspection personnel need to carry out strict inspection and chec.
Traditional testing cannot meet the high-speed production requirements of pharmaceutical companies? Machine vision technology helps to overcome the disadvantages (Image source: Pharmaceutical Network) However, traditional visual inspection has obvious shortcomings, including low detection accuracy, low efficiency, high error rate, time-consuming and labor-intensive, and high labor cost.
In recent years, with the rapid development of the domestic pharmaceutical industry, pharmaceutical companies have carried out large-scale production, and traditional visual inspection has been unable to meet the requirements of high-speed production of pharmaceutical companie.
The shortcomings of traditional visual inspection in the industry need to be overcome urgentl.
With the development and application of new technologies such as AI and computers, the emergence of machine vision technology has brought new expectations and surprises to the detection of drug delivery bottle.
The so-called machine vision technology is a non-contact, non-destructive automatic detection technology, which can meet the requirements of high efficiency and high precision in the inspection process of pharmaceutical companies' bottles, improve product quality, reduce costs, and avoid the occurrence of manual visual inspectio.
safety hazard.
At present, machine vision technology has been applied to the medicine bottle inspection machines of some pharmaceutical factorie.
The medicine bottle inspection machine obtains the characteristic information of the product surface image through automation, intelligence and precision control, and performs surface defect positioning, identification, classification, et.
Discrimination, statistics, analysis and other operations to achieve the purpose of improving detection efficiency and ensuring product qualit.
It can be directly connected with other unscramblers and balers to complete the whole process automation from material sorting, testing to packaging, further improving product technology and reducing cost.
In addition, a number of domestic pharmaceutical machine manufacturers have actively seized new trends and launched machine vision system solutions in a timely manne.
They can design solutions according to the actual needs and requirements of users, and "solve problems" for pharmaceutical companie.
It is reported that there are pharmaceutical machine manufacturers actively exploring and practicing AI image visual detection, focusing on AI algorithms based on deep learning, covering the entire technology chain of light, machinery, electricity, computing, and software, through powerful image analysis, to judge the detected objects, And make decisions on classification and processing, launch a visual inspection solution, provide a new inspection mode for pharmaceutical companies to inspect product quality before leaving the factory, as well as remote operation and maintenance, central control management platform and other service.
Some manufacturers have also launched intelligent vision system solutions based on the technical difficulties of traditional medical label detectio.
According to reports, the system has a high recognition rate for the detection characters of medicine bottle.
"Under high-speed operation, an average of 600 medicine bottles can be detected per minute, and the detection content, data and statistical content can also be displayed in real tim.
" In addition, signals that do not meet the requirements of laser marking will be automatically rejected, and remote sensing can be achieve.
Distance can coordinate work at the same tim.
Medicines are special commodities and are related to human health and safet.
Medicine bottles are a common form of packaging for medicines and play an important role in logistics and transportation, storage of medicines, and maintenance of efficac.
If the bottle body is defective but not detected and rejected, it may bring hidden dangers to the quality and safety of drugs, and even affect the health and safety of patient.
The emergence of machine vision technology and medicine bottle inspection machine will solve the problem of medicine bottle manufacturer.
The disadvantages of high labor intensity and high cos.
Disclaimer: Under no circumstances does the information or opinions expressed in this article constitute investment advice to anyon.