Patent ID: 11869532
Assignee: nan
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 5:
6. An analysis server analyzing sound information in conjunction with a sound-based emergency bell device, wherein the analysis server receives, in real-time, the sound information from the emergency bell device if an emergency bell operation signal is received from the emergency bell device, classifies per-time key sound sources in the sound information through an artificial intelligence-based sound analysis algorithm, and provides a situation analysis result on whether a crime occurs using the classified per-time key sound sources, wherein the analysis server transmits on-site dispatch information or situation response information to a security terminal in charge of a crime area, where the emergency bell operation signal occurs, in conjunction with a control server in charge of the crime area, based on the situation analysis result, and wherein the artificial intelligence-based sound analysis algorithm extracts an effective feature including a correlation in a time-frequency domain for the sound information having time series characteristics, classifies at least one key sound source based on the extracted effective feature using a convolutional neural network (CNN), and predicts the situation analysis result for the on-site situation using the classified key sound sources, wherein the artificial intelligence-based sound analysis algorithm includes:
a data gathering module gathering a number of sample sound sources for each crime situation and stores them as a dataset for training;
a training module pre-processing the sample sound sources, extracting an auditory characteristic, as a feature vector, from the pre-processed data, and generating and training a classifier for classifying the key sound sources for each crime situation using the extracted feature vector;
a situation analysis module pre-processing the sound information received from the emergency bell device to extract the feature vector and classifying at least one key sound source using the trained classifier for the extracted feature vector;
a prediction module predicting the situation analysis result for a crime situation derived based on the classified key sound sources; and
a code classification module classifying the situation analysis result predicted by the prediction module into a crime code of a preset security level, setting a different dispatch time, responding personnel, and situation response behavior information depending on the classified crime code, and providing the on-site dispatch information or the situation response information.