Intelligent Early Education Auxiliary System Based on Vision Algorithm

With the continuous internationalization of the market economy and the continuous progress of technology, the early education industry follows the development, and has more stringent requirements for visual algorithms. Based on the increasingly intensified market competition, the diversity of customer demand in the market competition environment is becoming more and more significant. With the continuous strengthening of national reform and continuous optimization of economic structure, the development and design of intelligent early education auxiliary system is the same. This paper studies the meaning, concept, classification and future development direction of intelligent early education auxiliary system based on visual algorithm, and lists the application cases of visual algorithm in early education industry. / auxiliary system in basic system, increase the large data model, sorting out the customer relationship, customer information, customer demand, customer value model is set up, customer usage range model, customer iteration model of intelligent/auxiliary system, from the data prove that intelligent/auxiliary system based on visual algorithm development and design of scientific, reasonable, In this way, the intelligent early education auxiliary system can be truly intelligent and scientific. Based on visual algorithm, the advantages of the comprehensive utilization of big data model, through the huge amounts of data to analyze customer value, customer value mining can improve space, improve intelligence/auxiliary system based on visual algorithm development and design of function and demand, improve their own quality, tested, check students' scores, edit the student information, subjects to change, The scores of question bank management were 89.4%, 96.5%, 90.4% and 90.2%.