Social networks are differentiated from traditional in-group communication based on node-to-node contact. They are clustered together based on the same personal preferences, kinship, and other methods. In Internet technology, continuous entry and withdrawal from a group of people, to the same group of people mainly show a sense of trust. Individuals and individuals interact with each other, the internal relativity is close, the external relativity is scarce, and the temporary maintenance of a relative smooth association.
Second, the parent-child early childhood education is reasonable, high-quality educational resources
Parent-child early childhood education is not a filler classroom teaching, nor is it shaping the "gifted child", but only according to the parent-child early childhood education to produce the appropriate personality traits. Based on the analysis of cultural and educational data from various countries around the world, we can provide effective cultural and educational programs, tailor the education to the needs of each individual, and look for the starting point that belongs to him or her. Integrate online education to promote the enjoyment and utilization of high quality teaching resources***.
Three, medical platform integration
Based on the district, community councils, children's welfare institutions and other organizations to carry out registration of the local elderly, such as age, residence, physical condition, medical conditions and so on. Elderly people can be based on the cell phone app, easy to operate push to seek help information, access to purposeful assistance, nearby hospitals and enterprises to carry out immediate care, medical treatment, to avoid the occurrence of accidents, to prevent the best treatment time can not be missed.
Four, facial face recognition
The first according to facial recognition technology to carry out face recognition algorithms, facial recognition, gender identification, age identification, etc. to solve the collection of watching ads, digital signage user information. After collecting a lot of data information using data processing technology indicators to analyze customer preferences for content, for different gender, age, emotional state of the customer to give more personalized content, in different time periods to promote different content to make reference to the basis of focusing on the liaison between people and things, for different people, dynamically complete the advertisement propaganda and other news push.