In addition, the universal perception ability of the IoT systems generate a large and diverse amount of data, which can be used to assist manufacturing engineering in achieving the best decision-making mechanisms for all aspects of the manufacturing process. For this reason, sensors and driving devices can cover the entire range of industrial tools. They are still in the early stages of development; however, manufacturing datasets are growing rapidly, and IoT devices can be deployed quickly. In addition, cloud-based computing and big data technologies are indispensable [7, 8]. These technologies play an important role in the management and large-scale manufacturing of resources. They provide users with great flexibility and service opportunities, such as signal storage, signal processing, visual manufacturing of big data, and other powerful functions. Modern factories are often equipped with robots that satisfy the requirements of the production line. The IoT enables users to confirm the position and shape of the robot's work, as well as to manage the interactive information transmission of the state of multiple objects, regardless of the situation. The robot has a third type of perception ability, which is a sensor system platform. It is not necessary to communicate unilaterally with other robots [9, 10]. To communicate the signals, the motion behavior of the robot can be monitored and understood at any time. This is the interaction between handling work and the dimensions of the working space. The robot itself has multiple signals linked to environmental signals, which poses a great challenge in obtaining greater performance stability of the robot. Therefore, for a factory with an automation system, a 3D image detection device with the ability to sense depth is required, which can be used to enable the interception of data in 3D space for detection robots. To realize the robot's operating status, it can immediately allow the robot to reflect the specific requirements of the working environment in the space, regardless of touch or the characteristics of the objects to be transported. It includes the properties of weight, shape, and size, and a suitable and optimized calculation capability for load handling can be made immediately. Industrial technology must be constructed using a collaborative system for IoT applications. The following issues must be addressed in advance to enable industrial manufacturing capabilities. * Immediate response. Faster connections for the control of equipment can master the complete production process and furnish customers with production history information. * Prevent errors. To ensure product quality, it is necessary to monitor abnormalities in the production process. To reduce the loss of defective products, possible equipment failures or errors must be monitored according to enterprise requirements. * Ensure the manufacturing process. The production control process must be correctly implemented, and the human error rate must be minimized to improve the consistency of the manufacturing process. * Improve production utilization rate. Complete equipment production accuracy must be provided to reduce the appearance of defective products and increase the utilization rate of the equipment. Modern factory equipment typically uses programmable logic controllers (PLCs) to build robotic manufacturing processes. Programming and functions can be developed to satisfy the requirements of the equipment. With the advancement of science and technology, equipment must also improve over time to achieve the required communication technology capabilities and functions. A da-ta-communication network linking the production equipment is needed. This enables the robot PLCs on the production line to confirm the location and interaction of multiple sur-rounding objects under any circumstance. The situation message can then be delivered.