Ntelligent Internet-connected nursing

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Big Data, which uses video terminals, electrical appliances, induction monitoring equipment, etc. to provide care for home-based elderly care and elderly people living alone in empty nests. At that time, the AI ​​products that could really be applied on a large scale focused on "companionship", mainly smart speakers, which reduced loneliness by chatting with the elderly and dispatched some simple home appliances. A Beijing nursing home we once visited built an "ihome model room" that uses smart speakers to turn off lights, turn on air conditioners and fans, and other operations by voice, eliminating the need for the elderly to manually control the room.


As for some more complex embodied smart products, such as "robotic bear" care assistants that can hug the elderly, and robots that dress the elderly, to be honest, they were limited by technical reliability and cost, and they were still considered "black Azerbaijan WhatsApp Number technology" at the time. category, it has not been widely popularized in China. It can be said that AI was suitable for aging at that time. Whether it was practitioners such as governments and enterprises, or reporters and observers like us, they all belonged to the "niche". After all, there was a lack of conditions on either the demand side or the supply side.





There are not that many elderly people, and they generally have low awareness of smart technology, leaving a lot of gaps in demand. Moreover, AI based on traditional machine learning and small models has limited scenarios in which it can exert value. So, has the turning point of change come? 2. Let what is coming come: the upgrade of AI for aging. The most critical factor in promoting the upgrade of AI for aging should be that the composition of the elderly group has changed. Around the same time, the golden generation began to gradually retire, and then entered middle age. -The generation born in this generation。