An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.

An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

Systems and methods for automated, non-supervised, parameter-free segmentation of single cells and other objects in images generated by fluorescence microscopy. The systems and methods relate to both improving initial image quality and to improved automatic segmentation on images. The methods will typically be performed on a digital image by a computer or processor running appropriate software stored in a memory.

Systems and methods for automated, non-supervised, parameter-free segmentation of single cells and other objects in images generated by fluorescence microscopy. The systems and methods relate to both improving initial image quality and to improved automatic segmentation on images. The methods will typically be performed on a digital image by a computer or processor running appropriate software stored in a memory.

A system and method is provided for detecting the approach of official and emergency vehicles and alerting drivers. The system is comprised of a vehicle device, a client device, a local device and a dongle. The local device includes a set of acoustic sensors and a set of light wave sensors. The local device is connected to the dongle. The dongle is connected to the local device, the vehicle device and the client device. In use, the sensors record analog light wave and acoustic signals. The signals are processed through a series of rolling frequency and amplitude summary tables to determine the type of emergency vehicle and whether or not it is approaching. If so, an alert is generated and sent to the vehicle device and the client device where it is displayed.

A system and method is provided for detecting the approach of official and emergency vehicles and alerting drivers. The system is comprised of a vehicle device, a client device, a local device and a dongle. The local device includes a set of acoustic sensors and a set of light wave sensors. The local device is connected to the dongle. The dongle is connected to the local device, the vehicle device and the client device. In use, the sensors record analog light wave and acoustic signals. The signals are processed through a series of rolling frequency and amplitude summary tables to determine the type of emergency vehicle and whether or not it is approaching. If so, an alert is generated and sent to the vehicle device and the client device where it is displayed.

In one embodiment, a system of detecting seat belt operation in a vehicle includes at least one light source configured to emit a predetermined wavelength of light onto structures within the vehicle, wherein at least one of the structures is a passenger seat belt assembly having a pattern that reflects the predetermined wavelength at a preferred luminance. At least one 3-D time of flight camera is positioned in the vehicle to receive reflected light from the structures in the vehicle and provide images of the structures that distinguish the preferred luminance of the pattern from other structures in the vehicle. A computer processor connected to computer memory and the camera includes computer readable instructions causing the processor to reconstruct 3-D information in regard to respective images of the structures and calculate a depth measurement of the distance of the reflective pattern on the passenger seat belt assembly from the camera.

In one embodiment, a system of detecting seat belt operation in a vehicle includes at least one light source configured to emit a predetermined wavelength of light onto structures within the vehicle, wherein at least one of the structures is a passenger seat belt assembly having a pattern that reflects the predetermined wavelength at a preferred luminance. At least one 3-D time of flight camera is positioned in the vehicle to receive reflected light from the structures in the vehicle and provide images of the structures that distinguish the preferred luminance of the pattern from other structures in the vehicle. A computer processor connected to computer memory and the camera includes computer readable instructions causing the processor to reconstruct 3-D information in regard to respective images of the structures and calculate a depth measurement of the distance of the reflective pattern on the passenger seat belt assembly from the camera.