視覺檢測系統技術在手機整體外觀缺陷檢測的應用
發布時間：
2023-02-10 11:28
生產一部手機的過程中，很多環節都會經歷零部件的外觀缺陷檢測，視覺檢測系統技術基于AI視覺算法和圖像分析技術為手機制造企業提供了智能化的缺陷檢測系統，解決了傳統人工檢測的低效、易漏檢等問題。
In the process of producing a mobile phone, many links will experience the appearance defect detection of parts. Based on AI visual algorithm and image analysis technology, visual inspection system technology provides an intelligent defect detection system for mobile phone manufacturing enterprises, and solves the problems of low efficiency and easy missing inspection of traditional manual detection.
手機整體外觀多面檢測設備在落地場景選擇上，視覺檢測系統是基于圖像處理進行，所以理論上只要能夠采集目標產品的良品和不良品圖片，就可以用其人工智能軟件SuaKIT進行學習，建立神經網絡進行缺陷檢測。
The visual inspection system is based on image processing in the landing scene selection of multi-faceted mobile phone appearance detection equipment. Therefore, in theory, as long as the images of good and bad products of the target product can be collected, the artificial intelligence software suakit can be used to learn and establish neural network for defect detection.
基于AI深度學習算法和實時圖像分析技術，為加工制造業客戶提供智能缺陷檢測軟件，以及整套缺陷檢測全解決方案。
Based on AI deep learning algorithm and real-time image analysis technology, it provides intelligent defect detection software and complete defect detection solution for manufacturing customers.
AI視覺算法則可以較好的解決以上問題，解決傳統機器視覺方案無法檢測的PCBA板、手機零部件、汽車零部件、鋼鐵、太陽能電池板等的各個領域中最復雜的缺陷檢測問題。
AI vision algorithm can better solve the above problems, and solve the most complex defect detection problems in PCBA board, mobile phone parts, automobile parts, steel, solar panels and other fields that cannot be detected by traditional machine vision.
山東紅寶自動化視覺檢測系統已經落地的領域包括光伏領域太陽能電板、PCBA、手機零部件、汽車零部件、焊接、手機鏡頭、手機芯片、皮革、面料、電容等多個行業領域中，為眾多領域提供了整體化的自動化視覺檢測系統解決方案。
Shandong Hongbao automatic visual inspection system has been implemented in many fields, including solar panels, pcba, mobile phone parts, auto parts, welding, mobile phone lens, mobile phone chip, leather, fabric, capacitor and other industries, which provides integrated solutions for many fields.
對于“多品類會不會導致定制成本高、周期長”的問題，基于AI算法平臺，在做新的缺陷建網訓練時，初期根據不同的瑕疵類型，客戶只需提供圖像即可。模型建立時間上，一般以2048*2048像素大小，1000張為標準的話，僅需要30分鐘左右。
For the problem of "multi category will lead to high customization cost and long cycle", based on AI algorithm platform, in the initial stage, according to different types of defects, customers only need to provide images. In terms of modeling time, it takes only about 30 minutes to build a model with the size of 2048 * 2048 pixels and 1000 pieces as the standard.
產品生產制造過程中的外觀缺陷檢測是非常重要的環節，視覺檢測系統技術在工業檢測領域場景豐富，尤其是隨著AI技術的發展，實現了很多之前難以解鎖的外觀缺陷檢測問題。
Appearance defect detection is a very important link in the process of product manufacturing. Visual inspection system technology has rich scenes in the field of industrial inspection, especially with the development of AI technology, many appearance defect detection problems which are difficult to unlock before are realized.
視覺檢測系統