Driver and passenger abnormal behavior recognition method and device, electronic equipment and medium

Abstract

The invention relates to the artificial intelligence technology, and provides a driver and passenger abnormal behavior recognition method and device, electronic equipment and a medium, and the method comprises the steps of building a first recognition model used for micro expression recognition and a second recognition model used for voice emotion recognition, and carrying out the training of the first recognition model and the second recognition model; establishing a decision model according to a mapping relation between each abnormal behavior and a pre-formulated decision; collecting target basic data, and obtaining micro-expression recognition and voice emotion recognition results through the trained first recognition model and second recognition model in sequence; judging whether an abnormal behavior occurs or not according to an identification result, and executing a corresponding decision. According to the invention, based on real-time voice and image emotion of a driver and a conductor in a vehicle during a journey, through synchronous analysis of the two identification models, abnormal behaviors are accurately identified, then corresponding decisions are executed through the decision model, double-shot behaviors are pre-judged in advance, emotions of both parties are pacified in time through the corresponding decisions, event upgrading is avoided, and the safety of the stroke is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method, device, electronic equipment and medium for identifying abnormal behaviors of drivers and passengers. Background technique [0002] With the vigorous development of the online car-hailing platform, the feature-rich online car-hailing platform has brought convenience to people's daily life. However, in terms of platforms, due to the extensive expansion and brutal growth of various platforms, a series of problems have also been brought about, such as management omissions, uneven personnel quality, etc., resulting in frequent security incidents. Although some improvements have been made in platform management, such as enhanced management in terms of driver access qualifications and real-time query of itinerary routes, the actual effect is not obvious. [0003] In addition, there is a lack of corresponding monitoring and management methods for drivers and pas...

AI Technical Summary

Problems solved by technology

However, in terms of platforms, due to the extensive expansion and brutal growth of various platforms, a series of problems have also been brought about, such as management omissions, uneven personnel quality, etc., resulting in frequent security incidents

Although some improvements have been made in platform management, such as enhanced management in terms of driver access qualifications and real-time query of itinerary routes, the actual effect is not obvious

[0003] In addition, there is a lack of corresponding monitoring and management methods for drivers and passengers. When a dispute occurs between drivers and passengers, there is a lack of necessary evidence to restore the scene at the time, and it is impossible to make a fair and objective evaluation. Malicious negative comments on the normal service of the driver. For example, some special passengers, such as drunken people, cause drunken and immoral behavior, which damages the interests of the driver.

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