Method for determining abnormal acoustic source and AI acoustic image camera

An AI (Artificial Intelligence) acoustic image camera comprising:

• an acoustic data acquisition unit configured to acquire acoustic data through an acoustic sensor array;
• an abnormal acoustic source candidate local area selecting unit configured to select at least one abnormal acoustic source candidate local area, in which at least one abnormal acoustic source candidate position forms a group, based on the acquired acoustic data;
• an acoustic feature image generation unit configured to generate an acoustic feature image from a signal extracted from the abnormal acoustic source candidate local area, wherein the signal includes a time-domain acoustic signal;
• an acoustic analysis unit configured to classify the acoustic feature image as one of at least one pre-learned acoustic scene;
• an object recognition unit configured to recognize a type of object located in the abnormal acoustic source candidate local area based on an object image of the abnormal acoustic source candidate local area or an object image of an area adjacent to the abnormal acoustic source candidate position;
• and
• a determination unit configured to determine whether the abnormal acoustic source candidate local area or the abnormal acoustic source candidate position is an abnormal acoustic source based on the classified acoustic scene and the recognized object type,
• wherein the acoustic feature image generation unit is configured to extract a time-domain acoustic signal of a representative position belonging to the abnormal acoustic source candidate local area, and generate the acoustic feature image from the time-domain acoustic signal of the representative position,
• wherein the representative position is a local maximum position of the abnormal acoustic source candidate local area.

A method for determining an abnormal acoustic source using artificial intelligence, the method comprising:

• an acoustic data acquisition step of acquiring acoustic data through an acoustic sensor array;
• an acoustic source localizing step of estimating a position of the acoustic source by calculating an acoustic level of the acoustic source at each location based on the acquired acoustic data;
• an acoustic classifying step of classifying the acoustic source as one of at least one pre-learned acoustic scene;
• an object type determination step of determining a type of an object through image analysis of an area within a critical distance from the acoustic source;
• a determining step of determining whether the acoustic source is an abnormal acoustic source based on the classified acoustic scene and the recognized object type,
• wherein in the acoustic feature image generating step comprises:
• a step of extracting a time-domain acoustic signal of a representative position belonging to the abnormal acoustic source candidate local area;
• and
• a step of generating the acoustic feature image from the time-domain acoustic signal of the representative position,
• wherein the representative position is a local maximum position of the abnormal acoustic source candidate local area.