Vehicle-mounted terminal equipment, vehicle-mounted interaction system and interaction method

Abstract

The embodiment of the invention discloses vehicle-mounted terminal equipment, a vehicle-mounted interaction system and an interaction method. The vehicle-mounted terminal equipment comprises a speechinput unit, an image input unit, a voice output unit, a display unit, a processing unit and a communication unit. All the units conduct interactive cooperation to complete intelligent speech recognition and image recognition based on machine vision and multi-modal information interaction processing, thus accurate recognition, precise semantic understanding and personalized output of the input information are achieved, and thus the human-machine interaction experience of a user is improved.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles, in particular to an intelligent vehicle-mounted human-computer interaction system and an interaction method. Background technique [0002] In modern society, more and more means of transportation have penetrated into people's life, study, and work. As an important means of transportation, automobiles have gradually become a part of people's lives. With the rapid and vigorous development of the Internet of Vehicles technology, the interconnection and intelligence of automobiles have become possible. An important part of the Internet of Vehicles technology is the in-vehicle interactive system. As an important bridge for the interaction between people and cars, the in-vehicle interactive system plays an irreplaceable role in the safety, comfort, performance improvement and user experience of the car. The rise of artificial intelligence technology has injected new vitality into the vehicle intera...

AI Technical Summary

Problems solved by technology

However, the content that can be expressed by gestures is very limited, and the usage rate is not high. However, lip recognition alone is difficult to achieve a high recognition rate, and often needs to be combined with other recognition methods such as speech recognition, resulting in less applications at present.

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