Abstract: A setting method of a counting flow path is applied to an image monitoring system and a related computer-readable media. The counting flow path is utilized to determine whether an object passes through a monitoring area. The setting method includes drawing two boundaries on a video frame correlative to the monitoring area to define the counting flow path, detecting relative position between a first angle control point and a second angle control point of the counting flow path, adjusting an angle formed by virtual lines stretching from the boundaries according to the relative position between the said angle control points, and utilizing an initial point and a final point detected by the counting flow path while the objects moves into or out of the counting flow path to determine whether the object passes through the counting flow path.

Abstract: A verification method for people counting includes steps of displaying a people counting video by a display device, wherein the people counting video shows an entry and exit boundary and an accumulated number of persons; when at least one person exists in the people counting video, displaying an initial position and a current position of each of the at least one person by the display device; determining whether each of the at least one person passes across the entry and exit boundary according to the initial position and the current position of each of the at least one person by a user, so as to determine whether the accumulated number of persons is incorrect; and when the user determines that the accumulated number of persons is incorrect, receiving a modified number of persons from the user by an input device.

Abstract: An object recognition system includes an image capturing unit, a motion sensing module, a receiver and a processor. The image capturing unit captures an image sequence. The motion sensing module is disposed on a target object and includes a transmitter and a motion sensor. The motion sensor selectively drives the transmitter to transmit a plurality of wireless signals according to a plurality of motion states of the target object. The receiver receives the wireless signals. The processor analyzes the image sequence to obtain at least one first motion state curve corresponding to at least one object, generates a second motion state curve corresponding to the target object according to the wireless signals, and determines whether to recognize the object corresponding to the first motion state curve as the target object according to a correlation between the first motion state curve and the second motion state curve.

Abstract: An image capture system includes a first image capture device, a second image capture device and a processing device, and the processing device is electrically connected to the first image capture device and the second image capture device. The first image capture device is configured to capture a first image, and the second image capture device is configured to capture a second image. The processing device is configured to receive first information transmitted from the first image capture device and second information transmitted from the second image capture device, and determines whether the first image and the second image have a same object based on the first information and the second information. If the processing device determines that the first image and the second image have the same object, the processing device synchronizes timestamps of the first image and the second image according to an event of the object.

Abstract: A visitor grouping method determines whether different visitors belong to an identical group according to a distance between the visitors and an initial position of the visitors in an image sequence, so as to analyze a proportion of number of individual visitors to number of grouped visitors. Furthermore, the visitor grouping method may further determine whether two groups belong to an identical group according to a distance between the groups and an initial position of the groups in the image sequence. Moreover, the visitor grouping method may determine whether a child group exists and then merge the child group with other groups. Accordingly, a specific site may design the display content and manner with respect to the properties of the visitors, so as to enhance service quality and operating efficiency.

Abstract: An image processing system includes a dual lens module and a processor. The dual lens module captures a pair of images. The processor generates a depth map of the pair of images. The processor generates a pixel depth distribution histogram according to the depth map. The processor calculates a pixel depth mean and a pixel depth variance according to the pixel depth distribution histogram. The processor determines whether the pixel depth mean is within a distance range and determines whether the pixel depth variance is smaller than a first threshold or larger than a second threshold, so as to determine that the dual lens module is situated in a normal state or an abnormal state.

Abstract: A manufacturing method of a structure of a thin fan includes providing a plastic material containing a plurality of metal particles and forming a housing from the plastic material. A part surface of the housing is removed, and a layout area and an extended circuit are formed on the housing. One terminal of the extended circuit connects to the layout area. A first signal connecting structure is disposed on the housing. The first signal connecting structure connects to the other terminal of the extended circuit. A metal layer is disposed on the layout area and the extended circuit.

Abstract: A pair of parking area sensing cameras, comprising a first parking area sensing camera configured to monitor a first parking area and generate a parking area status of the first parking area and a second parking area sensing camera configured to monitor a second parking area and generate a parking area status of the second parking area. The first parking area sensing camera is configured to display the parking area status of the second parking area.

Abstract: A motor drive circuit including a back electromotive force detecting module and a processing module is disclosed herein. The back electromotive force detecting module is electrically connected to a single phase DC motor and is configured to detect a back electromotive force of the single phase DC motor and to output a detecting signal correspondingly. The processing module is electrically connected to the back electromotive force detecting module and the single phase DC motor. The processing module is configured to determine the rotation direction of the single phase DC motor according to the detecting signal and a hall signal outputted by a hall element located in the single phase DC motor, and is configured to control the single phase DC motor.

Abstract: An image processing method includes steps of receiving an image sequence; when at least one object appears in the image sequence, analyzing a moving trajectory of each object; extracting at least one characteristic point from each moving trajectory; classifying the at least one characteristic point of each moving trajectory within a predetermined time period into at least one cluster; and storing at least one characteristic parameter of each cluster.

Abstract: A control system includes a motor, an interface circuit, a motor controller and a detection control circuit. The interface circuit receives and converts a pulse width modulation signal. The fan dissipates heat when the motor is operated in a forward rotation mode and eliminates dust when the motor is operated in a reverse rotation mode. The detection control circuit reads a duty cycle of the converted pulse width modulation signal in real time. When the motor is operated in the forward rotation mode, the detection control circuit drives the motor controller to control the rotation speed of the fan according to the duty cycle. If the duty cycle is lower than or equal to a first threshold value, the detection control circuit drives the motor controller to switch operation mode of the motor from the forward rotation mode to the reverse rotation mode.

Abstract: A wireless transmitting/receiving system includes a transmitter, a first directional receiver, a camera, a storage device and a processor. The transmitter is disposed on a target object and transmits a wireless signal. The first directional receiver is disposed with respect to an entry/exit boundary. The first directional receiver receives the wireless signal and generates a first received signal strength indication. The camera captures an image of the entry/exit boundary. The storage device stores a mapping table of target object location and received signal strength. The processor is electrically connected to the storage device and determines a location of the target object and a moving direction of the target object with respect to the entry/exit boundary according to the image and the mapping table of target object location and received signal strength.

Abstract: A reflectance-adjustable reflector including a phase modulation element and a first polarizer is provided. The phase modulation element includes a first substrate, a second substrate opposite to the first substrate, a phase modulation layer located between the first substrate and the second substrate, a first electrode layer located between the first substrate and the phase modulation layer, and a second electrode layer located between the second substrate and the phase modulation layer. Thicknesses of the first substrate and the second substrate are between 0.01 mm and 0.5 mm. The first polarizer is disposed on the first substrate. The first substrate is located between the first polarizer and the first electrode layer. A total thickness of the phase modulation element and the first polarizer is less than 1 mm. A reflectance-adjustable display device is also provided.

Abstract: An image flow analyzing method with low datum storage and low datum computation is applied to a related camera device and a related camera system. The image flow analyzing method includes defining a monitoring region on a video image, detecting an input timing and an output timing of an object passing through the monitoring region, utilizing the input timing and the output timing to compute a first average staying amount and a first average staying period of the object within the monitoring region via a specific time length, and utilizing the first average staying amount and the first average staying period to compute a second average staying amount and a second average staying period of the object within a statistics range defined by several specific time lengths in accordance with an external command.

Abstract: An automatic range finding method is applied to measure a distance between a stereo camera and a reference plane. The automatic range finding method includes acquiring a disparity-map video by the stereo camera facing the reference plane, analyzing the disparity-map video to generate a depth histogram, selecting a pixel group having an amount greater than a threshold from the depth histogram, calculating the distance between the stereo camera and the reference plane by weight transformation of the pixel group, and applying a coarse-to-fine computation for the disparity-map video.

Abstract: An image capture system includes a first image capture device, a second image capture device and a processing device, and the processing device is electrically connected to the first image capture device and the second image capture device. The first image capture device is configured to capture a first image, and the second image capture device is configured to capture a second image. The processing device is configured to receive first information transmitted from the first image capture device and second information transmitted from the second image capture device, and determines whether the first image and the second image have a same object based on the first information and the second information. If the processing device determines that the first image and the second image have the same object, the processing device synchronizes timestamps of the first image and the second image according to an event of the object.

Abstract: A verification method for people counting includes steps of displaying a people counting video by a display device, wherein the people counting video shows an entry and exit boundary and an accumulated number of persons; when at least one person exists in the people counting video, displaying an initial position and a current position of each of the at least one person by the display device; determining whether each of the at least one person passes across the entry and exit boundary according to the initial position and the current position of each of the at least one person by a user, so as to determine whether the accumulated number of persons is incorrect; and when the user determines that the accumulated number of persons is incorrect, receiving a modified number of persons from the user by an input device.

Abstract: A setting method of a counting flow path is applied to an image monitoring system and a related computer-readable media. The counting flow path is utilized to determine whether an object passes through a monitoring area. The setting method includes drawing two boundaries on a video frame correlative to the monitoring area to define the counting flow path, detecting relative position between a first angle control point and a second angle control point of the counting flow path, adjusting an angle formed by virtual lines stretching from the boundaries according to the relative position between the said angle control points, and utilizing an initial point and a final point detected by the counting flow path while the objects moves into or out of the counting flow path to determine whether the object passes through the counting flow path.

Abstract: A method for transmitting and displaying an object tracking information includes steps of capturing an image by a camera, wherein an object exists in the image; analyzing the image by the camera to obtain a 3D world coordinate information of the object; transmitting a projection matrix and the 3D world coordinate information to a display device by the camera; using the projection matrix to convert the 3D world coordinate information into a 2D image coordinate information by the display device; and displaying a pattern corresponding to the object according to the 2D image coordinate information by the display device.

Abstract: An object matching method is applied to a camera system with an object matching function. The object matching method includes detecting a moving object within overlapped monitoring areas of two image capturing units to generate a first coordinate point and a second coordinate point respectively upon a first coordinate system and a second coordinate system, calculating at least one transforming parameter of the first coordinate system relative to the second coordinate system, acquiring a reliability level according to a comparison result between the transforming parameter and a threshold, determining a final transform parameter by the reliability level, utilizing the final transform parameter to transform the first coordinate point into a third coordinate point upon the second coordinate system, and determining whether the first coordinate point and the second coordinate point indicate the same object by difference between the third coordinate point and the second coordinate point.