Elderly Nursing Service System Based on Improved Particle Swarm Optimization Algorithm for Camera Calibration

It is the obligation of future generations to ensure that the elderly can enjoy their old age happily and comfortably. It is also a manifestation of social civilization and progress, and it is the inheritance and development of the traditional virtues of the Chinese nation. The purpose of this paper is to study the construction and optimization of elderly care service system based on particle swarm algorithm. The basic principles of the construction of the elderly care service system, the specific content of the optimization of the service, and the hardware selection and implementation of the elderly care system are expounded, and the selection and calculation of each hardware of the system are carried out calibration and improve its calibration accuracy. The camera calibration based on improved particle swarm algorithm is applied to the system's physical sign detection module, and the reliability of data communication is tested. The average error rate of data communication is 0.33%, which ensures the safe and stable operation of the entire motion control system, making it a Simple and easy to operate.