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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.