Abstract: Exemplary vehicle assistance method includes obtaining a speed of a vehicle. The method then determines whether the vehicle is moving according to the obtained speed of the vehicle. If yes, the method obtains an image of a driver's seat of the vehicle captured by a camera. The method then creates a 3D model of the driver's seat corresponding to the obtained images of the driver's seat. Next, the method compares the created 3D model of the driver's seat with stored preset 3D models of a person sitting in the driver's seat to determine whether a person occupies the driver's seat. If no, the method controls a driving unit to drive a pushing unit to engage a handbrake of the vehicle.

Abstract: An example of a vehicle assistance method includes obtaining a surroundings image captured by at least one camera. The method then controls a converting unit to convert the obtained surroundings image into a birds-eye view. Next, the method determines a panorama area according to a rightmost road marker or a leftmost road marker, determines a detection area according to whether or not one or more road markers exclusive the rightmost road marker and the leftmost road marker appear in the panorama area, and further determine whether one or more objects appear in the detection area. If yes, the method then obtains the humidity of air detected by a humidity sensor. Next, the method determines a camera corresponding to the birds-eye view when the obtained humidity of air is greater than the preset humidity value, and controls a driving device to turn on a pair of lights.

Abstract: In a method for detecting a falling object using a safety guard device, a current digital image of the overhead scene is captured by an image capturing device of the safety guard device. The method detects a falling object in the current digital image, and outputs alarm messages when a falling object is detected in the current digital image and the falling object is going to hit a user of the safety guard device.

Abstract: In a method for determining a shot position of a light gun on a display screen, a current image is captured by an image capturing device of the light gun. The method detects a screen area in the current image, calculates coordinates of an aimed point of the light gun on the display screen when the screen area has been detected, and transmits the coordinates of the aimed point of the light gun to a host computer so that a shot result of the light gun is displayed on the display screen by the host computer according to the coordinates of the aimed point of the light gun on the display screen.

Abstract: In a method for controlling an unmanned aerial vehicle (UAV) equipped with a camera to capture images of a target, the computing device sets coordinates of a target, initial coordinates of the camera, and an initial viewing direction of the camera. Real-time coordinates and a real-time viewing direction of the camera are obtained when the UAV flies around the target. Accordingly, adjustment parameters of the camera are calculated and transferred to a driver system connected to the camera, such that the driver system adjusts the camera to face the target according to the adjusting parameters.

Abstract: The present invention provides a system, a method, and a vehicle for safe driving. The vehicle includes a speed sensor, an automatic gearbox, a processor, and a communication unit. The vehicle communicates with a server via the communication unit. The processor executes a determining module and a speed control module. The determining module determines whether the vehicle receives a signal including a safe driving speed. When the signal is received, and a current speed of the vehicle is greater than the safe driving speed or less than the safe driving speed a preset value, the speed control module directs the automatic gearbox to set the speed of the vehicle to a constant speed equal to or less than the safe driving speed.

Abstract: In a brake control method of a power wheelchair, the power wheelchair includes an electronic gradienter, a brake sensor, a brake apparatus, and a brake controller. The electronic gradienter detects stability data of the power wheelchair to obtain a gradient angle and a gradient direction of the power wheelchair. When the gradient angle does not exceed a safety angle range, the brake controller controls the brake apparatus to brake the power wheelchair, and the brake sensor detects braking data of the power wheelchair. The method calculates a braking strength value for braking each wheel of the power wheelchair according to the gradient angle and the gradient direction of the power wheelchair when the brake operation on the power wheelchair is improper. The brake controller adjusts the brake apparatus to brake the power wheelchair according to the braking strength value of each of the wheels.

Abstract: A smart stroller includes at least one armrest, a processor, a flexible touch sensor, an acceleration sensor, and an automatic brake unit. The flexible touch sensor detects whether the at least one armrest is grasping by a person; if no, the processor controls the acceleration sensor to detect whether the smart stroller is moving. If the processor determines that the armrest is not grasped by the person and the smart stroller is moving, the processor control the at least one automatic brake unit to block the smart strolling to stop the smart stroller from moving.

Abstract: A control system for elevators includes a capture apparatus, a processor and a storage apparatus. The capture apparatus captures images of each floor. The processor performs human detection on images of each floor to calculate the number of waiting passengers of each floor. The processor further calculates waiting time of each floor. The processor calculates weight of each floor based on the number of the waiting passengers and waiting time, and controls the elevator to the floor with maximum weight.

Abstract: Method for detecting a surface flaw of an object using an electronic device includes requesting a detection device to control a camera unit to capture a current image of a test object placed on the detection device. The current image includes a sidewall image and a reflected image. The method obtains the current image, and detects whether the sidewall image has a surface flaw. When the sidewall image has a surface flaw, a rotation angle of the test object is determined based on the reflected image. The method obtains a standard sidewall image of a standard object stored in a storage device of the electronic device, based on the rotation angle, compares the sidewall image with the standard sidewall image, and determines and displays a position of the surface flaw on a sidewall of the test object based on the comparison.

Abstract: A method for switching a monitored location of a plurality of image capture devices using an electronic device obtains a current direction of the electronic device, and determines a current image capture device corresponding to the current direction of the electronic device from the plurality of image capture devices. The method further sends a switch command to the current image capture device, receives captured images from the current image capture device, and displays the received captured images on a display screen of the electronic device.

Abstract: A seat assistance method includes obtaining the inclined angle of a vehicle detected by a gyroscope. The method then determines if the obtained inclined angle of the vehicle is greater than a preset value. Next, the method controls a driving device to drive a seat to rotate towards a center of the vehicle when the obtained inclined angle of the vehicle is greater than the preset value.

Abstract: A method for detecting surface flaws of a sample under test requires a detection device with a motorized horizontal rotating platform. The rotating platform is set to an initial position, and a camera unit of the detection device captures images of the sample. The method adjusts a position of an optical filter of the detection device according to the captured image until intensities of the light source projected on different positions of the sample are uniform. The horizontal rotation platform is further rotated to obtain images of the testing sample at different angles from the camera unit. The method converts colors of specified pixels of the obtained image into a specified color, to obtain processed images. Surface flaws of the processed images are detected, and a result is outputted to a display device.

Abstract: An example vehicle assistance method includes obtaining a surroundings image captured by a camera. The method then creates a 3D surroundings model according to the surroundings image and the distances between each object recorded in the obtained surroundings image and the camera. Next, the method determines whether or not one or more second vehicles or passers-by appear in the created 3D surroundings model. If yes, the method then determines the shortest distance between the first vehicle and the second vehicle or passer-by, and determines whether or not the shortest distance between the first vehicle and the second vehicle or passer-by appearing in the created 3D surroundings model is less than a safe distance. If yes, the method drives a driving device to turn on a pair of lights.

Abstract: In a method for regulating images displayed on a display screen of an electronic device, the electronic device includes an image capturing unit and driving unit. An adjustment mode of the display screen is preset through a user setting interface displayed on the display screen, and the image capturing unit captures an image of a scene in front of the display screen when the user presses a regulation button of a remote controller. The method analyzes a viewing angle and a viewing direction of the user when the user views the display screen, and determines a regulating angle and a regulating direction related to the display screen according to the viewing angle and the viewing direction. The display screen or the image displayed on the display screen is rotated through the regulating angle and the regulating direction according to the adjustment mode.

Abstract: An example of a vehicle assistance method includes obtaining a surroundings image captured by at least one camera. The method then controls a converting unit to convert the obtained surroundings image into a birds-eye view. Next, the method determines a panorama area according to a rightmost road marker or a leftmost road marker, determines a detection area according to whether or not one or more road markers exclusive the rightmost road marker and the leftmost road marker appear in the panorama area, and further determine whether one or more objects appear in the detection area. If yes, the method then obtains the humidity of air detected by a humidity sensor. Next, the method determines a camera corresponding to the birds-eye view when the obtained humidity of air is greater than the preset humidity value, and controls a driving device to turn on a pair of lights.

Abstract: In a method for controlling an airbag device of a vehicle, the vehicle includes a steering wheel equipped with a depth-sensing camera, a gyroscope, a drive device, and at least one airbag device. The airbag device includes at least one airbag. The depth-sensing camera captures a 3D scene image of a scene in front of the steering wheel while the vehicle is being driven. The 3D scene image according to a rotation angle of the steering wheel detected by the gyroscope. The 3D scene image is compared with each 3D model of the driver stored in a storage device to determine an actual position of the driver in the 3D scene image to determine whether the driver is in danger. The drive device is driven to unlock the at least one airbag of the airbag device and controls the airbag device to expand the at least one airbag.

Abstract: A computer-aided method executed on a mobile device is disclosed. The method allows a user to store profile data of an web camera into a memory of the mobile device, and to set profile data of one or more receiver devices, and to transmit the profile data of the web camera and the notice to the receiver device when an urgent event occurring in a monitored area where the web camera is located.

Abstract: A method for adjusting a flight direction of an unmanned aerial vehicle (UAV) using a control device obtains a first direction of the UAV and a second direction of the control device, and calculates an angle deviation between the first direction and the second direction. The method further adjusts a control command of the UAV according to the angle deviation to obtain an adjusted control command, and transmits the adjusted control command to the UAV to control a flight direction of the UAV.

Abstract: A camera includes a depth-sensing lens, an auto-focusing apparatus, and a display screen. In an auto-focusing method of the camera, a focusing position of the depth-sensing lens is determined when an image of the scene is shown on the display screen. The depth-sensing lens senses a depth between the object and the camera, and determines a distance between the object and the focusing position of the depth-sensing lens. An optimal focus of the camera is calculated according to the depth and the distance. The auto-focusing apparatus controls the depth-sensing lens to move from the focusing position to the optimal focus of the camera. The camera controls the depth-sensing lens to capture an image of the scene based on the optimal focus when a user presses a button of the camera.