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 system for positioning and monitoring an animal during microscopy may include a base supporting the animal, a head holder attached to the base and securing the animal's head, a body holder attached to the base and restraining the animal's body, at least one sensor measuring a physiological parameter of the animal, and a controller receiving and processing data from the at least one sensor. The base may comprise a scissor lifting jack for height adjustment. The head holder may include a ball joint for angular adjustment. The body holder may comprise a swaddle. Sensors may include an accelerometer to detect motion and a thermocouple to measure cranial window temperature. The system may also include a camera to capture images during microscopy.

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: A lower vehicle body rear structure includes a rear floor integrally formed in a die-casting mode, rear floor longitudinal beam rear sections fixedly connected to the rear floor, a shelf, and a spare tire cabin. Rear floor longitudinal beams arranged on the two sides of the rear floor, and a rear floor middle cross beam and a rear floor rear cross beam which are connected between the rear floor longitudinal beams are formed on the rear floor, and rear wheel covers connected to the rear floor longitudinal beams are respectively arranged on the two sides of the rear floor. The shelf is located above the rear floor, and the two ends of the shelf are connected to the rear wheel covers by means of connecting plates; and the rear floor, the shelf and the two connecting plates are connected to form an annular structure.

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: 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: 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: Systems and methods for image search are provided. In some embodiments, a method for image search includes receiving a query image, recognizing one or more text strings on the query image, generating a query vector based on the query image, conducting a first image search based at least in part on the query vector to generate one or more first candidate images, conducting a second image search based at least in part on the one or more recognized text strings to generate one or more second candidate images, and generating a query output based on the one or more first candidate images and the one or more second candidate images.

Abstract: An composition comprising: a homopolycarbonate; a poly(carbonate-siloxane) having a siloxane content of 30-70 wt %, preferably 35-65 wt %, based on the total weight of the poly(carbonate-siloxane) present in an amount effective to provide 2-10 wt % total siloxane, based on the total weight of the composition; an antimicrobial agent, wherein the antimicrobial agent is a silver zinc zeolite powder, wherein the antimicrobial agent is present in amount effective to provide up to 1000 parts per million of elemental silver based on the total weight of the composition and optionally, an additive composition.

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: 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: 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: A method provided by the present application comprises: obtaining a number n of rows of pixel units to be precharged; controlling a scanning driving chip to sequentially output n first scanning enable signals to a scanning driving circuit according to the number n of rows; and outputting a second scanning enable signal to the scanning driving circuit, so that the scanning driving circuit is controlled to output a second scanning signal to the pixel units of the n-th row to charge the pixel units of the n-th row.

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: 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: 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: A method provided by the present application comprises: obtaining a number n of rows of pixel units to be precharged; controlling a scanning driving chip to sequentially output n first scanning enable signals to a scanning driving circuit according to the number n of rows; and outputting a second scanning enable signal to the scanning driving circuit, so that the scanning driving circuit is controlled to output a second scanning signal to the pixel units of the n-th row to charge the pixel units of the n-th row.

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 thermoplastic composition comprising: a homopolycarbonate; a poly(carbonate siloxane) component present in an amount effective to provide 0.5-20 wt % total siloxane content; an antimicrobial agent comprising silver zirconium phosphate, silver phosphate glass, or a combination thereof; optionally, an additive composition; each based on the total weight of the composition which totals to 100 wt %.