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Application value of deep learning AI intelligent detection
Release Time:2021-02-22 Source:本站 Pageviews:2152

Over the past decade, manufacturers have turned to automation solutions in order to continuously improve their profits. Automation and machine vision are gradually enhanced and even replaced by artificial intelligence. Next, let's look at the application value of visual inspection based on artificial intelligence in 2020.



The value of artificial intelligence visual inspection



In terms of visual inspection, the value of artificial intelligence is particularly obvious. Visual inspection technology based on artificial intelligence is improving the business operation ability of manufacturing industry.



Visual inspection based on artificial intelligence depends on two main advantages of artificial intelligence: computer vision and deep learning. Every AI system has the core ability to perceive the environment and act according to these perceptions.



Artificial intelligence can adapt to a series of environments through deep learning, which makes it applied in many industries. It has unlimited potential and can be developed quickly to meet the needs of manufacturers.



Concept of AI based visual inspection



Just as the human eye can find defects, a well-trained artificial intelligence vision system can do this, and it is more efficient. The vision system based on artificial intelligence captures the image and sends it to the central "brain" for processing.



Like the human brain, the artificial intelligence "brain" obtains detailed meaning by comparing images with existing knowledge.



The vision based learning device is just like the "vision based learning system" composed of two components. This integrated system successfully imitates the ability of human eyes and brain to interpret images.



Vision system based on artificial intelligence is more effective than human eye because artificial intelligence "brain" stores more information.



Powerful computing power can quickly analyze available data. The system can classify objects in photos and videos and perform complex visual perception tasks.



The vision system based on artificial intelligence can search images and subtitles, detect objects, recognize and classify.



Benefits of visual inspection based on Artificial Intelligence



1. Fast implementation



Automated systems decades ago relied on defect libraries, exception lists, and complex filters. In order to ensure the accuracy of information, continuously accumulate information, clean up information, and re execute information, the time spent in the process will reduce the effectiveness and waste labor.



Artificial intelligence and deep learning do not require long programming or lengthy algorithms. The learning speed of the system is very fast, and the training can be completed in a few weeks.



2. Product improvement and quality control



Manufacturers can use artificial intelligence to record inspection results and evaluate product quality. Indicators that can successfully track data and implement improvement in the overall process include:

• process formulation

• equipment differences

• component supplier

• plant location



In addition, the detection images and results can be tracked and recorded. These measures prevent future failures, thus saving time and additional production costs. The application of machine vision based on deep learning in all planning and testing can help manufacturers identify and solve problems as soon as possible.



3. Reduce labor costs



AI solutions are more consistent than most professional human reviews. Human testers must be trained and can only maintain high concentration for 15-20 minutes at a time. Employee turnover is also a problem, and labor costs will increase every year. For these reasons, visual inspection based on artificial intelligence is more cost-effective than manual labor.


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