Apparatus and method for providing alarm according to behavior of driver in driving monitoring system

A computer program stored in a non-transitory computer readable storage medium, wherein the computer program allows at least one processor to perform following operations to provide an alarm based on a behavior of a driver in a driver monitoring system when executed by the at least one processor, and wherein the operations comprise:

• receiving a first image corresponding to the driver within a vehicle;
• generating first model output information which indicates possibility that an anomaly which compromises safety of the driver exists in the first image, from the first image, by using an artificial intelligence model;
• generating a first anomaly primary prediction result indicating whether the anomaly exists in the first image by comparing the first model output information with a first threshold;
• generating a first anomaly secondary prediction result by performing a first voting using the first anomaly primary prediction result;
• and
• determining an anomaly alarm corresponding to the first image by performing a second voting using the first anomaly secondary prediction result, and
• wherein the artificial intelligence model corresponds to a deep learning model that is pre-trained to receive an image of the driver and output a possibility that a predetermined anomaly which compromises safety of the driver exists in the image of the driver.

A computing device, comprising:

• at least one processor;
• and
• a memory,
• wherein the at least one processor is configured to:
• receive a first image corresponding to the driver within a vehicle;
• generate first model output information which indicates possibility that an anomaly which compromises safety of the driver exists in the first image, from the first image, by using an artificial intelligence model;
• generate a first anomaly primary prediction result indicating whether the anomaly exists in the first image by comparing the first model output information with a first threshold;
• generate a first anomaly secondary prediction result by performing a first voting using the first anomaly primary prediction result;
• and
• determine an anomaly alarm corresponding to the first image by performing a second voting using the first anomaly secondary prediction result, and
• wherein the artificial intelligence model corresponds to a deep learning model that is pre-trained to receive an image of the driver and output a possibility that a predetermined anomaly which compromises safety of the driver exists in the image of the driver.