In the past, AI has always given people the feeling of automated operating tools, but there is a big difference between automation and intelligence. automation means that tools execute instructions according to certain logic, while intelligence means that tools can complete specified tasks under complex and changeable circumstances. But in fact, the reason why AI could not become intelligent in the past was due to insufficient application scenarios and insufficient data volume. Like a newborn child with no one to communicate with, he will never learn to speak no matter what.
However, in recent years, with the combination of AI and the Internet of Things (IOT), that is, the birth of AIOT, AI has gained considerable data and application scenarios. In the context of the Internet of Everything, AI can obtain vastly different data information from different devices in various industries, and continuously update AI algorithms through industry pioneers, allowing it to learn to recognize, classify, and process large amounts of data. As a result, AI has grown rapidly.
Nowadays, the development of AIOT has gradually deepened.
In terms of autonomous driving, through the integration of deep learning and traditional algorithms, the perception module has obstacle detection, classification, tracking and scene understanding capabilities that surpass humans, ensuring system redundancy and being accurate in different road conditions, weather and environments. "see" the world around you.
In terms of security, through human body analysis (face recognition, body posture recognition, human body feature extraction, etc.); image analysis (video quality diagnosis, video summary analysis, etc.); vehicle analysis (license plate recognition, vehicle recognition, vehicle feature extraction, etc.); Behavior analysis (target tracking and monitoring, abnormal behavior analysis, etc.) can improve monitoring efficiency while saving labor costs.
In terms of retail, by using advanced technologies such as big data, artificial intelligence , etc., we upgrade the production, circulation and sales process of goods, thereby reshaping the business structure and ecosystem, and improving online services and offline experience. and modern logistics for deep integration.
In fact, whether it is autonomous driving, security or retail, the capabilities and potential of AI far exceed people’s imagination. In the environment of the Internet of Everything, AI still has a long way to go, and there are still many application scenarios that can be implemented.
