The advanced driving assistance systems
Posted: Wed Dec 11, 2024 5:16 am
The third wave of artificial intelligence that has emerged in the past five years has greatly exceeded human capabilities in the above fields.
However, when it comes to the application of this type of technology in real products, it is not difficult to find that its accuracy will still show stage differences depending on the application situation. For example, under ideal austria whatsapp number data 5 million conditions where a user speaks a command loudly into a microphone, a smart speaker can easily and accurately identify the content of the command. However, when applied to real-life situations (such as when other people are talking in the room at the same time), it may not reach the same level. Face recognition technology also faces the same problem. When the user is looking at the phone head-on, the recognition effect of this technology is better. In contrast, when surveillance cameras in public places face large crowds of people and faces may be partially obscured, their recognition accuracy will be reduced.
Object recognition technology is no exception. Although. built into cars can now reliably identify other vehicles and pedestrians around them, the effectiveness of their recognition capabilities still depends on weather conditions: rain, insufficient light, or excessive light will affect their performance. Accuracy.
Everyday items (cups, TV remotes, chairs, etc.) are even more difficult to identify, which explains why there are no home robots on the market yet. At least not yet!
However, when it comes to the application of this type of technology in real products, it is not difficult to find that its accuracy will still show stage differences depending on the application situation. For example, under ideal austria whatsapp number data 5 million conditions where a user speaks a command loudly into a microphone, a smart speaker can easily and accurately identify the content of the command. However, when applied to real-life situations (such as when other people are talking in the room at the same time), it may not reach the same level. Face recognition technology also faces the same problem. When the user is looking at the phone head-on, the recognition effect of this technology is better. In contrast, when surveillance cameras in public places face large crowds of people and faces may be partially obscured, their recognition accuracy will be reduced.
Object recognition technology is no exception. Although. built into cars can now reliably identify other vehicles and pedestrians around them, the effectiveness of their recognition capabilities still depends on weather conditions: rain, insufficient light, or excessive light will affect their performance. Accuracy.
Everyday items (cups, TV remotes, chairs, etc.) are even more difficult to identify, which explains why there are no home robots on the market yet. At least not yet!