Abstract: Disclosed subject matter relates generally to image processing that includes a method for detecting drowsiness state of a vehicle user independent of factors such ethnicities, gender and other differences of an individual. A drowsiness detection system receives current images of the vehicle user from an image capturing device in a current time frame. Further, an eye closure ratio of the vehicle user is determined in the current time frame using eye closure parameters extracted from the current images in real-time and a profile of the vehicle user. Further, the eye closure ratio is normalized using a scaling factor computed in real-time using normalizing parameters extracted from the current images in real-time and the profile. Finally, a Percentage Eye Closure (PEC) value of the vehicle user is determined in the current time frame using the normalized eye closure ratio of the vehicle to detect drowsiness state of the vehicle user.

Abstract: Disclosed subject matter relates generally to image processing that includes a method for detecting drowsiness state of a vehicle user independent of factors such ethnicities, gender and other differences of an individual. A drowsiness detection system receives current images of the vehicle user from an image capturing device in a current t me frame. Further, an eye closure ratio of the vehicle user is determined in the current time frame using eye closure parameters extracted from the current images in real-time and a profile of the vehicle user. Further, the eye closure ratio is normalized using a scaling factor computed in real-time using normalizing parameters extracted from the current images in real-time and the profile. Finally, a Percentage Eye Closure (PEC) value of the vehicle user is determined in the current time frame using the normalized eye closure ratio of the vehicle to detect drowsiness state of the vehicle user.

Abstract: This disclosure relates generally to a conduit 112 and more particularly to a system and method for monitoring fluid flow in the conduit 112. In one embodiment, a fluid monitoring device 100 for monitoring fluid flow in a conduit 112 is disclosed. The fluid monitoring device 100 comprises a depth camera 102 placed inside the conduit 112; a conveyor belt 104 placed in contact with a surface of a fluid 114 in the conduit 112; an indicator ball 106 placed in contact with the conveyor belt 104; and two image capturing devices 108 placed inside the conduit 112, wherein each of the two image capturing devices 108 are placed at an equal distance from the depth camera 102.

Abstract: This disclosure relates generally to a conduit 112 and more particularly to a system and method for monitoring fluid flow in the conduit 112. In one embodiment, a fluid monitoring device 100 for monitoring fluid flow in a conduit 112 is disclosed. The fluid monitoring device 100 comprises a depth camera 102 placed inside the conduit 112; a conveyor belt 104 placed in contact with a surface of a fluid 114 in the conduit 112; an indicator ball 106 placed in contact with the conveyor belt 104; and two image capturing devices 108 placed inside the conduit 112, wherein each of the two image capturing devices 108 are placed at an equal distance from the depth camera 102.