工業視覺檢測人工智能解決方案:視覺檢測、視覺分揀和故障預測
發布時間：
2023-02-10 11:30
毋庸置疑，人工智能給制造行業帶來了翻天覆地的變化，人工智能在制造業領域的三大方向:視覺檢測、視覺分揀和故障預測，它所帶來的變革超出我們的想象。當生產往高端發展之后，人工已經不能完全解決生產的問題，生產方式會發生巨大的變化，人工智能是工業4.0成敗的關鍵，而企業能否抓住人工智能的機遇實現制造業轉型升級將決定企業能夠長久的發展下去。
There is no doubt that artificial intelligence has brought earth shaking changes to the manufacturing industry. The three major directions of artificial intelligence in the field of manufacturing industry: visual inspection, visual sorting and fault prediction, have brought changes beyond our imagination. After the development of production to the high-end, the problem of production can not be completely solved by artificial intelligence, and the mode of production will change greatly. Artificial intelligence is the key to the success or failure of industry 4.0, and whether enterprises can seize the opportunity of artificial intelligence to realize the transformation and upgrading of manufacturing industry will determine the long-term development of enterprises.
工業人工智能通過多維度學習，形成快速性、系統性及可傳承性等特性。在實際操作過程中，不同個體使用同樣工具可得到相同或相近的結果，系統將形成標準性解決方案，高度契合作業過程中即時響應、準確度極高、高等級安全等一系列要求。目前人工智能在制造業領域主要有三個方向：視覺檢測、視覺分揀和故障預測。
Through multi-dimensional learning, industrial artificial intelligence has the characteristics of rapidity, systematicness and heritability. In the actual operation process, different individuals can get the same or similar results by using the same tool. The system will form a standard solution, which is highly suitable for a series of requirements such as immediate response, high accuracy and high-level safety. At present, artificial intelligence has three main directions in the field of manufacturing industry: visual inspection, visual sorting and fault prediction.
目前在“缺陷檢測”和“預測性維護”兩大方面客戶接受度和需求較高，主要是因為該領域為客戶痛點，能直接為客戶節省大量的費用。預測性維護也有利于避免重大事故，對于安全制造和安全生產至關重要。
At present, there are high customer acceptance and demand in "defect detection" and "predictive maintenance", which is mainly because this field is a pain point for customers and can directly save a lot of costs for customers. Predictive maintenance is also conducive to avoid major accidents, which is essential for safe manufacturing and production safety.
近年來，越來越多的機器視覺落地應用，在技術與市場上的認可度不斷獲得提升，視覺企業成長速度加快。在工業應用領域，隨著生產的柔性和自動化程度的不斷提高和對質量更加嚴格的控制要求，企業迫切需要機器視覺來代替人工，實現定位、檢測、引導、識別等功能。
In recent years, more and more machine vision applications have been applied, and the recognition in technology and market has been continuously improved, and the growth speed of vision enterprises has been accelerated. In the field of industrial application, with the continuous improvement of production flexibility and automation and more stringent control requirements for quality, enterprises urgently need machine vision to replace manual work to achieve positioning, detection, guidance, identification and other functions.
機器視覺技術是圖像獲取、分析、識別、檢測等技術的綜合，機器視覺行業經過數年的積累，不僅在規模上實現年均增速超20%，且在3D視覺、無序分揀等技術方面獲得了不同程度的突破。
Machine vision technology is the integration of image acquisition, analysis, identification, detection and other technologies. After years of accumulation, machine vision industry has not only achieved an average annual growth rate of more than 20%, but also made breakthroughs in 3D vision, disorder sorting and other technologies.
人工智能技術的發展推動了機器視覺的快速應用，機器視覺檢測設備是實現工業自動化和智能化的必要手段，隨著機器視覺的介入，自動化設備將朝著更智能、更快速的方向發展，同時，機器視覺在各行業的滲透率也將逐漸提升。
The development of artificial intelligence technology promotes the rapid application of machine vision. Machine vision is a necessary means to realize industrial automation and intellectualization. With the intervention of machine vision, automation equipment will develop in a more intelligent and faster direction. At the same time, the penetration rate of machine vision in all walks of life will gradually increase.
其中，將近80%的工業視覺系統主要用在檢測方面，包括用于提高生產效率、控制生產過程中的產品質量、采集產品數據等。
Among them, nearly 80% of the industrial vision system is mainly used in the detection, including improving the production efficiency, controlling the product quality in the production process, collecting product data and so on.
近年來，國內陸續出現了一些基于深度學習和人工智能技術解決機器人視覺分揀問題的設備，通過計算機視覺識別出物體及其三維空間位置，指導機械臂進行正確的抓取。通過3D快速成像技術，對物體表面輪廓數據進行掃描，形成點云數據后進行智能分析處理，加以人工智能分析、機器人路徑自動規劃、自動防碰撞技術，計算出當前工件的實時坐標，并發送指令給機器人實現抓取定位的自動完成。
In recent years, some devices based on deep learning and artificial intelligence technology have been developed to solve the problem of robot visual sorting. Through computer vision, the object and its three-dimensional spatial position can be recognized, and the manipulator can be guided to grasp correctly. Through 3D rapid imaging technology, the surface contour data of the object is scanned, and the point cloud data is analyzed and processed intelligently. Artificial intelligence analysis, robot path automatic planning and automatic anti-collision technology are applied to calculate the real-time coordinates of the current workpiece, and send instructions to the robot to realize the automatic completion of grasping and positioning.
以高性能3D相機、視覺AI算法和軟件、機器人運動算法和軟件為核心產品的可提供多種典型應用的參考設計和現場服務。其解決方案可使機器人廠家和集成商迅速提升人工智能能力，完成無序物體抓取、視覺引導拆垛、混合碼垛、精確定位裝配等應用。
With high performance 3D camera, vision AI algorithm and software, robot motion algorithm and software as the core products, it can provide reference design and field service for a variety of typical applications. The solution can make robot manufacturers and integrators quickly improve the ability of artificial intelligence, complete the application of disordered object grasping, visual guided destacking, hybrid palletizing, precise positioning assembly and so on.
基于人工智能和IOT技術，通過在工廠各個設備加裝傳感器，對設備運行狀態進行監測，并利用神經網絡建立設備故障的模型，則可以在故障發生前，對故障提前進行預測，在發生故障前，將可能發生故障的工件替換，從而保障設備的持續無故障運行。
Based on artificial intelligence and IOT technology, through the installation of sensors in various equipment in the factory to monitor the running state of the equipment, and to establish the model of equipment failure by using neural network, the failure can be predicted in advance before the fault occurs, and the parts that may have fault can be replaced before the fault occurs, so as to ensure the continuous fault-free operation of the equipment.
視覺檢測系統在人工智能領域的發展已成必然的趨勢，山東紅寶自動化有限公司擁有經驗豐富的工程師團隊，能夠幫助企業定制開發自動化設備，實現產品差異化，帶來品牌溢價，創造企業價值優勢。
The development of visual inspection system in the field of artificial intelligence has become an inevitable trend. Shandong Hongbao Automation Co., Ltd. has an experienced team of engineers, which can help enterprises customize and develop automation equipment, realize product differentiation, bring brand premium and create enterprise value advantage.
視覺檢測,定制開發自動化設備