Abstract: Systems and methods for using image analysis techniques to assess abnormal vehicle operating conditions are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle. Based on the depicted individuals(s) and optionally on other data, the computing device may determine that an abnormal condition exists. In response, the computing device may generate a notification and transmit the notification to an electronic device of an individual associated with the vehicle.

Abstract: Systems and methods for using image analysis techniques to assess abnormal vehicle operating conditions are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle. Based on the depicted individuals(s) and optionally on other data, the computing device may determine that an abnormal condition exists. In response, the computing device may generate a notification and transmit the notification to an electronic device of an individual associated with the vehicle.

Abstract: Described herein are techniques to a systematic approach to reduce the number of factors of an input dataset that impact a target prediction of a trained ML model. The techniques include obtaining a dataset of typed data points and ascertaining the factors of the data points based, at least in part, on the datatypes of the data points. The techniques also include obtaining an indicator of correlation of each factor ascertained in the dataset to a target prediction by a trained ML model and assigning a score to each respective factor ascertained in the dataset based on the indicator of correlation of each factor. The techniques further include ranking the factors ascertained in the dataset based on the score of each factor, selecting factors from the factors ascertained in the dataset, and providing the selected factors for making the target prediction by the trained ML model.

Abstract: Systems and methods for using image analysis techniques to facilitate adjustments to vehicle components are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle, and in particular determine a positioning of the individual(s) within the vehicle. Based on the positioning, the computing device may determine how to adjust a vehicle component(s) to its optimal configuration, and may facilitate adjustment of the vehicle component(s) accordingly.

Abstract: Systems and methods for using image analysis techniques to facilitate adjustments to vehicle components are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle, and in particular determine a positioning of the individual(s) within the vehicle. Based on the positioning, the computing device may determine how to adjust a vehicle component(s) to its optimal configuration, and may facilitate adjustment of the vehicle component(s) accordingly.

Abstract: A claim assignment system can cause insurance claims to be assigned among different groups within an insurance company. The claim assignment system can have a rules engine and a machine learning engine that both recommend a group to which a claim can be assigned. The claim assignment system can be configured to select the group for the claim based on a recommendation from the machine learning model if a confidence level of the machine learning assignment recommendation meets or exceeds a threshold value, and otherwise select the group for the claim based on the assignment recommendation from the rules engine.

Abstract: Systems and methods for tracking an object in video surveillance are provided. A method may include obtaining a video including a plurality of consecutive frames; obtaining a current frame from the plurality of consecutive frames, wherein an object of interest is identified in at least two previous frames of the current frame; obtaining at least two template frames from the at least two previous frames; and identifying a position related to the object of interest in the current frame based on the at least two template frames using a correlation filter.

Abstract: The present invention provides a brightness adjustment method, a dimming device, and a display panel. The method comprises following steps of: receiving N initial dimming signals, performing a delay processing on at least one initial dimming signal of the N initial dimming signals to obtain N dimming signals, and using the N dimming signals to perform a brightness adjustment on the N dimming regions respectively within a dimming cycle; wherein N?2, and N is a positive integer. The method can easily eliminate horizontal blocks of the display panel and improve display effects of the display panel.

Abstract: An image analysis (“IA”) computer system for analyzing images of hail damage includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) store a damage prediction model associated with a rooftop, wherein the damage prediction model utilizes an artificial intelligence algorithm; (ii) display, to a user, an image of a rooftop; (iii) receive, from the user, a request to analyze damage to the rooftop; (iv) apply, by the at least one processor, the damage prediction model to the image, the damage prediction model outputting a plurality of damage prediction locations of the rooftop in relation to the image; and/or (v) display, by the at least one processor, an overlay box at each of the plurality of damage prediction locations, the overlay box being a virtual object overlaid onto the image for labeling the damage prediction locations.

Abstract: The present disclosure relates to a TFT-LCD and the driving circuit and the switching power supply thereof. The switching power supply includes a PWM controller, an electronic signal generator, and a field effect transistor. The output pins of the electronic signal generator being configured to output voltage signals that vary periodically between multiple voltage ranges. The frequency selection pins of the PWM controller and the output pins of the electronic signal generator are connected to receive the voltage signals from the electronic signal generator, and the PWM controller outputs switching signals of a predetermined frequency through at least one output pin according to a voltage range of the voltage signals received by the frequency selection pins. A gate pin of the FET connects to output pins of the PWM controller, and a source pin of the FET is grounded.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: In a driving system of a display device, wires are arranged on a first connection unit, a second connection unit and a third connection unit and the traces are arranged on a first circuit board, a second circuit board and a third circuit board accordingly. The electrical path is established on the aforesaid circuit boards and the aforesaid connection units. One end of the electrical path is connected to the power supply voltage, and the other end is connected to the input end of a timing controller. When all the connection units are connected, the power supply voltage is inputted to the timing controller via the path, and the timing controller outputs the power supply control signal for controlling the display device to power on. When the connection units are poorly connected, the timing controller outputs a power supply stopping control signal to stop powering the display device.

Abstract: In a driving system of a display device, wires are arranged on a first connection unit, a second connection unit and a third connection unit and the traces are arranged on a first circuit board, a second circuit board and a third circuit board accordingly. The electrical path is established on the aforesaid circuit boards and the aforesaid connection units. One end of the electrical path is connected to the power supply voltage, and the other end is connected to the input end of a timing controller. When all the connection units are connected, the power supply voltage is inputted to the timing controller via the path, and the timing controller outputs the power supply control signal for controlling the display device to power on. When the connection units are poorly connected, the timing controller outputs a power supply stopping control signal to stop powering the display device.

Abstract: The present disclosure relates to a TFT-LCD and the driving circuit and the switching power supply thereof. The switching power supply includes a PWM controller, an electronic signal generator, and a field effect transistor. The output pins of the electronic signal generator being configured to output voltage signals that vary periodically between multiple voltage ranges. The frequency selection pins of the PWM controller and the output pins of the electronic signal generator are connected to receive the voltage signals from the electronic signal generator, and the PWM controller outputs switching signals of a predetermined frequency through at least one output pin according to a voltage range of the voltage signals received by the frequency selection pins. A gate pin of the FET connects to output pins of the PWM controller, and a source pin of the FET is grounded.

Abstract: Systems and methods for using image analysis techniques to assess abnormal vehicle operating conditions are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle. Based on the depicted individuals(s) and optionally on other data, the computing device may determine that an abnormal condition exists. In response, the computing device may generate a notification and transmit the notification to an electronic device of an individual associated with the vehicle.

Abstract: Systems and methods for using image analysis techniques to assess unsafe driving conditions by a vehicle operator are discloses. According to aspects, a computing device may access and analyze image data depicting the vehicle operator. In analyzing the image, the computing device may measure certain visible metrics as depicted in the image data and compare the metrics to corresponding threshold values, and may accordingly determine whether the vehicle operator is exhibiting an unsafe driving condition. The computing device may generate and present alerts that indicate any determined unsafe driving condition.

Abstract: A display panel is provided. The display panel includes a plurality of data lines, a plurality of scan lines, and a plurality of pixel units, wherein each of the plurality of pixel units includes a plurality of sub-pixel units; the plurality of sub-pixels in a same pixel unit are connected to a same data line, and are correspondingly connected to different scan lines. The display panel includes a data driving module and a scan driving module. The data driving module includes a pulse width modulating chip, a gamma correcting chip, a timing control chip, and a data signal generating chip. A display device is also provided.

Abstract: Systems and methods for using image analysis techniques to assess abnormal vehicle operating conditions are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle. Based on the depicted individuals(s) and optionally on other data, the computing device may determine that an abnormal condition exists. In response, the computing device may generate a notification and transmit the notification to an electronic device of an individual associated with the vehicle.

Abstract: The invention provides a display panel and a power control system of a drive circuit of the display panel. The power control system includes a timer controller, a power manager, and a drive circuit. The timer controller is used for receiving a first video signal and sending a finishing signal to the power manager after reading a decoding code for decoding the first video signal successfully. The power manager is used for sending a first drive voltage and a second drive voltage to the drive circuit after receiving the finishing signal. The power control system reduces the time difference between the video signal and the voltage, thereby avoiding the black screen problem.

Abstract: A display panel is provided. The display panel includes a plurality of data lines, a plurality of scan lines, and a plurality pixel units, wherein each of the plurality of pixel units includes a plurality of sub-pixel units; the plurality of sub-pixels in a same pixel unit are connected to a same data line, and are correspondingly connected to different scan lines. The display panel includes a data driving module and a scan driving module. The data driving module includes a pulse width modulating chip, a gamma correcting chip, a timing control chip, and a data signal generating chip. A display device is also provided.