A method for using vibration data analysis and image analysis for robust action recognition in a retail environment may include receiving vibration data captured using1 one or more vibration sensors mounted to a shelving unit including at least one retail shelf; receiving at least one image captured using at least one image sensor from a retail environment including the shelving unit; analyzing the vibration data and the at least one image to detect an action performed in the retail environment; and providing information based on the detected action.

A fitness device includes a frame assembly defining a front side and a back side and a frame structure which has a bottom part for placing the fitness device on a floor, at least one display fixed to the frame structure for displaying exercise to a user facing the front side, and a stand including an attachment portion attached to the back side of the frame assembly above the bottom part of the frame structure and a base portion to be placed on the floor.

Technologies for natural language interactions with virtual personal assistant systems include a computing device configured to capture audio input, distort the audio input to produce a number of distorted audio variations, and perform speech recognition on the audio input and the distorted audio variants. The computing device selects a result from a large number of potential speech recognition results based on contextual information. The computing device may measure a user's engagement level by using an eye tracking sensor to determine whether the user is visually focused on an avatar rendered by the virtual personal assistant. The avatar may be rendered in a disengaged state, a ready state, or an engaged state based on the user engagement level. The avatar may be rendered as semitransparent in the disengaged state, and the transparency may be reduced in the ready state or the engaged state. Other embodiments are described and claimed.

There is provided a vehicle safety system including a sensing unit, a processing unit, a control unit and a display unit. The sensing unit is configured to capture an image frame containing an eyeball image from a predetermined distance. The processing unit is configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position. The control unit is configured to trigger a vehicle device associated with the pupil position according to the drive signal. The display unit is configured to show information of the vehicle device.

A system and method are described for enhancing readability of document images by operating on each document individually. Monochromatic light sources operating at different wavelengths of light can be used to obtain greyscale images. The greyscale images can then be used in any desired image enhancement algorithm. In one example algorithm, an automated method removes image background noise and improves sharpness of the scripts and characters using edge detection and local color contrast computation.

An unmanned aerial vehicle (UAV) solar irradiation assessment system may automate several design parameters of solar panel design, cost and payoff estimations, and installation. The system determines the irradiance at various locations on a roof during various time periods. The system accounts for the effects of various existing, potential, or future obstacles proximate the structure. In some embodiments, a visual model of the roof may be shown with a heatmap of irradiance values and/or graphical placement of solar panels. In other embodiments, the data may be analyzed and reported without visual presentation.

A motion sensor for detection motion of humans is provided. The motion sensor contains a near infrared (NIR) low resolution image sensor that captures image frames in the near infrared spectrum and a sensor that detects the amount of visible light. In addition, a processor is connected to the visible light sensor and the NIR motion sensor. The processor is configured to receive the amount of visible light from the visible light sensor and the images from the NIR low resolution image sensor. The processor is further configured to compare the image frames to detect motion; the sensitivity of the detection of motion is determined by the amount of visible light detected by the visible light sensor. The output has two or modes based on the detection of motion by the processor.

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.

A surveillance method, apparatus, system, electronic device and computer-readable storage medium are provided. In the surveillance method, a non-visible light image and a target image are obtained, wherein the target image is generated from a visible light signal captured during a capture period of the non-visible light image. The method then detects whether an object is present in the non-visible light image. When an object is detected in the non-visible light image, a second location area of the object in a visible light image is determined according to a first location area of the object in the non-visible light image, such that surveillance of the object is implemented based on the visible light image, wherein the visible light image is an image determined based on the target image.