From traditional algorithms to deep learning, how is intelligent AOI vision inspection implemented?

In recent years, the development of artificial intelligence has advanced by leaps and bounds, and with the continuous progress of technology and the continuous expansion of application scenarios, it has gradually penetrated into the field of industrial visual inspection; The deep learning AI algorithm with higher computing efficiency and higher detection rate came into being, which makes up for the shortcomings of traditional algorithms that cannot detect complex features, and realizes the quality and intelligence of enterprise production to a greater extent.

What is AI deep Learning Algorithm

Deep Learning is an important branch of machine learning. It mainly imitates the way human brain analyzes and processes information, trains machines to extract common patterns among these instances in case learning, draws a deep learning model containing features and expressions in data, and automatically learns the mapping relationship from input to output from data. It helps to quickly classify the acquired information in the future.

Intelligent upgrade

AI technology enables AOI visual inspection

Based on the deep learning algorithm, the company independently developed a new visual AOI detection equipment. On the basis of the traditional detection method, the AI deep learning algorithm realized the auxiliary programming of AOI, omitting the steps of the traditional manual frame debugging, which greatly simplified the programming process; At the same time, it has a more intelligent detection ability, which can accurately locate and classify different forms of solder joints and various types of welding problems, and can also detect characters on the components, eliminate the interference caused by blur or light, and accurately identify characters.

Jingtuo AOI visual inspection equipment diagram

Now it has been widely used in SMT, THT, and other process production lines.

SMT production line

THT production line

Auxiliary programming

With the help of deep learning algorithm, the AI model is generated by importing different forms of picture data for training, and the location of the measured object is accurately located in each detection, and the measured object can be automatically classified according to the training data.

Automatic solder joint identification

Intelligent detection

Through the AI deep learning algorithm, the characteristic information of the defect is identified and the problem type of the detected object is correctly judged.

Intelligent identification of welding problems

OCR(Optical Character Recognition) Character detection is a form of detection that utilizes deep learning, and in the industrial world, character recognition is a machine vision task that involves extracting text from images. Jintuo AOI visual inspection equipment with pre-training font library, quickly identify picture information.

OCR character recognition

In the review process, the deep learning system can perform a second review of the AOI test results, effectively avoid errors in the manual review and lead to quality instability, reduce the manual review workload, and increase the straight-through rate of the production line by 5%-10%.

Intelligent review diagram

Since the introduction of deep learning algorithm in AOI vision inspection equipment, production efficiency and inspection flexibility have been effectively improved; The innovative development of visual inspection has promoted the development of lithium batteries, consumer electronics, automobiles, aerospace and other fields to intelligent manufacturing. In the future, Jingtuo will continue to focus on cutting-edge technologies, launch products that meet market trends and needs, and help the automation and intelligent upgrading of the manufacturing industry.

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