A guest assistance platform may analyze video data of an environment that includes a liquid substance. The video data is analyzed using a machine learning model trained to detect objects in the liquid substance. The guest assistance platform may detect an individual in the liquid substance based on analyzing the video data and may determine a measure of confidence associated with detecting the individual in the liquid substance. The guest assistance platform may determine one or more confidence factors associated with detecting the individual in the liquid substance. The guest assistance platform may modify the measure of confidence using the one or more confidence factors and may determine whether the modified measure of confidence satisfies a confidence threshold. The guest assistance platform may selectively cause assistance to be provided to the individual or continue analyzing the video data based on whether the modified measure of confidence satisfies the confidence threshold.
BACKGROUND
Closed-circuit television (CCTV) is a system that includes video camera devices that provide signals (e.g., video feeds) to specified monitors located at a specified location. In this regard, a CCTV system differs from a broadcast television system that broadcasts signals to multiple monitors located at multiple locations. A CCTV system is typically used to perform surveillance of areas monitored by the video camera devices. SUMMARY
In some implementations, a method performed by a guest assistance platform includes analyzing video data of an environment that includes a liquid substance, wherein the video data is analyzed using a machine learning model trained to detect objects in the liquid substance; detecting an individual in the liquid substance based on analyzing the video data; determining a measure of confidence associated with detecting the individual in the liquid substance; determining one or more confidence factors associated with detecting the individual in the liquid substance; modifying the measure of confidence, using the one or more confidence factors, to obtain a modified measure of confidence; determining whether the modified measure of confidence satisfies a confidence threshold; and selectively causing assistance to be provided to the individual or continue analyzing the video data based on whether the modified measure of confidence satisfies the confidence threshold, wherein the assistance is provided based on the modified measure
1. A method performed by a guest assistance platform, the method comprising: analyzing video data of an environment that includes a liquid substance, wherein the video data is analyzed using a machine learning model trained to detect objects in the liquid substance; detecting an individual in the liquid substance based on analyzing the video data; determining a measure of confidence associated with detecting the individual in the liquid substance; determining one or more confidence factors associated with detecting the individual in the liquid substance; modifying the measure of confidence, using the one or more confidence factors, to obtain a modified measure of confidence; determining whether the modified measure of confidence satisfies a confidence threshold; and selectively causing assistance to be provided to the individual or continue analyzing the video data based on whether the modified measure of confidence satisfies the confidence threshold, wherein the assistance is provided based on the modified measure of confidence satisfying the confidence threshold, and wherein the video data is analyzed based on the modified measure of confidence not satisfying the confidence threshold. ||
8. A device, comprising: one or more memories; and one or more processors, coupled to the one or more memories, configured to: analyze video data of a liquid substance, wherein the video data is analyzed using a machine learning model trained to detect objects that have fallen into the liquid substance; detect, based on analyzing the video data, that an individual has fallen into the liquid substance; determine a measure of confidence associated with detecting the individual has fallen into the liquid substance; determine one or more confidence factors associated with the measure of confidence; modify the measure of confidence, using the one or more confidence factors, to obtain a modified measure of confidence; perform a first action when the modified measure of confidence is a first value; and perform a second action when the modified measure of confidence is a second value different than the first value, wherein the second action is different than the first action. ||
15. A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising: one or more instructions that, when executed by one or more processors of a device, cause the device to: analyze a first portion of video data of an environment, wherein the video data is analyzed using a machine learning model trained to detect objects in the environment; detect an individual in the environment based on analyzing the first portion of video data; analyze, using the machine learning model, a second portion of the video data of the environment; detect that the individual is missing from the environment based on analyzing the second portion of the video data; determine a measure of confidence associated with detecting that the individual is missing from the environment; determine one or more confidence factors associated with determining the measure of confidence; modify the measure of confidence using the one or more confidence factors; and selectively cause assistance to be provided to the individual or continue analyzing the video data based on whether a value of the modified measure of confidence, wherein the assistance is provided based on the modified measure of confidence being a first value, and wherein the video data is further analyzed based on the modified measure of confidence being a second value.