為什么自動化視覺檢測技術在工業4.0生產中備受青睞？
發布時間：
2023-02-10 11:24
工業4.0自動化生產中，自動化視覺檢測技術涉及到檢測、測量和零件識別的各種應用，如電池極片檢測、自動化裝配完整性檢測、產品包裝條形碼和字符識別、飲料瓶蓋印刷質量檢測、零部件尺寸檢測等。這些應用的共同特點是連續大規模生產和對外觀質量的高要求。
In industrial 4.0 automatic production, machine vision detection technology involves various applications of detection, measurement and part identification, such as battery pole detection, automatic assembly integrity detection, product packaging bar code and character recognition, beverage bottle cap printing quality detection, part size detection, etc. The common characteristics of these applications are continuous mass production and high requirements for appearance quality.
以前，這種高度重復和智能的工作是由人工肉眼完成的。但是在一些特殊情況下，如微小尺寸的精確快速測量、顏色識別、形狀匹配等，肉眼是無法連續穩定地識別出產品缺陷的，此時，自動化視覺檢測設備的出現給制造業帶來了新的曙光。
Previously, this highly repetitive and intelligent work was done by the human eye. However, in some special cases, such as accurate and rapid measurement of small size, color recognition and shape matching, the naked eye can not continuously and stably identify product defects. At this time, the emergence of automatic visual inspection equipment has brought a new dawn to the manufacturing industry.
隨著行業競爭的加劇，制造商企業在產品質量控制上甚至不允許有0.1％的缺陷，因此為保證100％的檢驗合格率（即“零缺陷”），確保公司產品質量穩定性以及產品競爭力的持續穩定增長，生產制造商需找到更好的檢測缺陷的方法，而機器視覺檢測是目前最好的方法。
With the intensification of industry competition, manufacturers are not even allowed to have 0.1% defects in product quality control. Therefore, in order to ensure 100% inspection qualification rate (i.e. "zero defects"), ensure the stability of product quality and the continuous and stable growth of product competitiveness, manufacturers need to find better methods to detect defects, Machine vision detection is the best method at present.
機器視覺檢測是目前應用于產品外觀缺陷檢測和質量檢測中最為先進的檢測技術，通過機器視覺產品（即圖像攝取裝置，分CMOS和CCD兩種）將被攝取目標轉換成圖像信號，傳送給專用的圖像處理系統，根據像素分布和亮度、顏色等信息，轉變成數字化信號；圖像系統對這些信號進行各種運算來抽取目標的特征，進而根據判別的結果來控制現場的設備動作。
Machine vision detection is the most advanced detection technology currently applied to product appearance defect detection and quality detection. The captured target is converted into image signal through machine vision products (i.e. image pickup device, divided into CMOS and CCD), which is transmitted to a special image processing system, and transformed into digital signal according to pixel distribution, brightness, color and other information; The image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment action according to the discrimination results.
在產品自動化生產流水線上，對產品質量檢測這種類似的高度重復性和智能性的工作也是依靠人工檢測來完成，這樣的測量和判斷不僅會因疲勞、個人之間的差異等產生誤差和錯誤，無法保證檢驗產品的合格率(即"零缺陷")，且給企業增加巨大的人工成本。機器視覺技術的檢測系統可以對整個產品進行高精度、高效率、高穩定地自動檢測，這對于產品品質控制和保證產品質量也非常重要，還能為企業節省人工成本。
On the automatic production line of products, the similar highly repetitive and intelligent work of product quality inspection also depends on manual inspection. Such measurement and judgment will not only produce errors and errors due to fatigue and differences between individuals, which can not guarantee the qualification rate of inspected products (i.e. "zero defects"), but also increase huge labor costs to enterprises. The detection system of machine vision technology can automatically detect the whole product with high precision, high efficiency and high stability, which is also very important for product quality control and ensuring product quality, and can also save labor costs for enterprises.
正因為機器視覺檢測具備以上諸多優勢，且具備適用性強，靈活性高，適應各種振動、潮濕、粉塵等惡劣環境。維護簡單，對操作者的技術要求低，使用壽命長等優點。被廣泛的應用于工業生產領域，對企業來說不僅確保了產品質量的穩定性而且還提高產品競爭力。
It is precisely because machine vision detection has many advantages above, and has strong applicability and high flexibility to adapt to various harsh environments such as vibration, humidity and dust. It has the advantages of simple maintenance, low technical requirements for operators and long service life. It is widely used in the field of industrial production. For enterprises, it not only ensures the stability of product quality, but also improves product competitiveness.
自動化視覺檢測