Systems and methods for disturbance detection and identification based on disturbance analysis
Intelligent disturbance detection systems and methods of use to capture a disturbance via an application tool on a mobile smart device remote from the user, extract features from the disturbance, compare the extracted features to disturbance labels of a disturbance set in a comparison by a disturbance detection neural network model of the application tool, generate a disturbance label when the extracted features match the disturbance label in the comparison, train the model to generate a custom disturbance label associated with the extracted features when the extracted features do not match the one or more disturbance labels in the comparison, and generate an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance label, the custom disturbance label, or combinations thereof.
1 . An intelligent disturbance detection system comprising:
an application tool executed by a mobile smart device, the application tool comprising a disturbance set;
one or more processors communicatively coupled to the application tool;
one or more memory components communicatively coupled to the one or more processors; and
machine readable instructions stored in the one or more memory components that cause the intelligent disturbance detection system to perform at least the following when executed by the one or more processors:
capture a disturbance comprising a sound, an image, or combinations thereof via the application tool on the mobile smart device remote from a user;
extract features from the disturbance to generate one or more extracted features;
compare the one or more extracted features to the disturbance set in a comparison;
update the disturbance set when the one or more extracted features fail to match the disturbance set in the comparison;
generate an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance set, the updated disturbance set, or combinations thereof; and
generate the automatic alert based on a frequency associated with the automatic alert, the frequency comprising a number of times to send the automatic alert, a time period within which to send the automatic alert as one or more alerts, a time period between each subsequent automatic alert of the automatic alert, or combinations thereof.
2 . The intelligent disturbance detection system of claim 1 , wherein the automatic alert comprises a text to the user, an email to the user, or combinations thereof.
3 . The intelligent disturbance detection system of claim 1 , further comprising machine readable instructions that cause the intelligent disturbance detection system to perform at least the following when executed by the one or more processors:
transmit the automatic alert to a second device of the user.
4 . The intelligent disturbance detection system of claim 1 , wherein the automatic alert comprises a timestamp associated with the identification of the disturbance.
5 . The intelligent disturbance detection system of claim 1 , wherein the automatic alert comprises a confidence level associated with the identification of the disturbance.
6 . The intelligent disturbance detection system of claim 1 , wherein the automatic alert comprising a display graph that comprises at least one time portion not associated with the identification of the disturbance.
7 . The intelligent disturbance detection system of claim 1 , wherein the automatic alert comprises a display graph over a period of time, the display graph over the period of time comprising at least one disturbance time portion associated with a disturbance detection, the disturbance detection comprising the identification of the disturbance, an identification of another disturbance from the disturbance set, or combinations thereof.
8 . The intelligent disturbance detection system of claim 7 , wherein the display graph over the period of time comprises at least one time portion not associated with the disturbance detection.
9 . The intelligent disturbance detection system of claim 1 , wherein the disturbance set comprises the identification of one of a dog barking sound, a fire alarm sound, or a doorbell ringing sound.
10 . The intelligent disturbance detection system of claim 1 , wherein the disturbance set comprises the identification of a door opening sound.
11 . The intelligent disturbance detection system of claim 1 , wherein the user setting comprises a naming of a disturbance in the disturbance set, an upload by the user of an image for the disturbance set, or combinations thereof.
12 . The intelligent disturbance detection system of claim 1 , further comprising machine readable instructions that cause the intelligent disturbance detection system to perform at least the following when executed by the one or more processors:
add an image to the updated disturbance set.
13 . A method of implementing an intelligent disturbance detection system, the method comprising:
capturing a disturbance comprising a sound, an image, or combinations thereof via an application tool on a mobile smart device of the intelligent disturbance detection system remote from a user;
extracting features from the disturbance to generate one or more extracted features;
comparing the one or more extracted features to one or more disturbances of a disturbance set in a comparison by the application tool;
generating a disturbance from the one or more disturbances when the one or more extracted features match the disturbance in the comparison;
generate a new disturbance for the disturbance set associated with the one or more extracted features when the one or more extracted features do not match the one or more disturbances in the comparison;
generating an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance match, the new disturbance, or combinations thereof, and
generating the automatic alert based on a frequency associated with the automatic alert, the frequency comprising a number of times to send the automatic alert as one or more alerts, a time period within which to send the automatic alert as the one or more alerts, a time period between each subsequent automatic alert of the automatic alert, or combinations thereof.
14 . A method of implementing an intelligent disturbance detection system, the method-comprising:
capturing a disturbance comprising a sound, an image, or combinations thereof via an application tool on a mobile smart device of the intelligent disturbance detection system remote from a user;
extracting features from the disturbance to generate one or more extracted features;
comparing the one or more extracted features to one or more disturbances of a disturbance set in a comparison by the application tool;
generating a disturbance from the one or more disturbances when the one or more extracted features match the disturbance in the comparison;
generate a new disturbance for the disturbance set associated with the one or more extracted features when the one or more extracted features do not match the one or more disturbances in the comparison;
setting by the user a name of the new disturbance during an approval of the user;
uploading by the user an image for the new disturbance during the approval of the user;
adding the new disturbance to the disturbance set based on the approval of the user; and
generating an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance match, the new disturbance, or combinations thereof, wherein the automatic alert comprises a timestamp and a confidence level associated with the identification of the disturbance.
15 . The method of claim 14 , wherein the automatic alert further comprises a display graph over a period of time, the display graph over the period of time comprising at least one disturbance time portion associated with the identification of the disturbance.