Analysis and deep learning modeling of sensor-based object detection data for organic motion determination in bounded aquatic environments using underwater powered systems

A system, comprising:

• a sensor disposed in a recess proximate to a waterline associated with a body of water;
• and
• a processor configured to capture an image from the sensor, the sensor being housed in a structure disposed in the recess and electrically coupled to a light, the recess being configured to receive a spacer ring configured to detachably couple to a hook adapter secured to a boundary wall associated with the body of water, the spacer ring also being configured to provide a channel and the processor also being configured to convert the image into data digitally encoded by the processor, to evaluate the data to separate background data from foreground data, to generate tracking data from the data after the background data is removed, the tracking data being evaluated to determine whether a head or a body are detected by comparing the tracking data to classifier data, to track the head or the body relative to the waterline if the head or the body are detected in the tracking data, and to determine a state associated with the head or the body, if the head or the body is detected, the state being associated with state data, the state data being used to determine a drowning state.