Abstract:
An image storage device based on an input sound signal comprises: an acceleration sensor unit for outputting an acceleration sensor value according to an impact event; a microphone unit for receiving an input of an impact sound according to the impact event; a camera unit for photographing an external image; and a processing unit for, if an impact event is sensed by the acceleration sensor unit and the impact sound inputted by the microphone unit corresponds to a valid sound which is previously set and stored, storing, in a storage unit, the images photographed by the camera unit in a certain time period both before and after the point in time when the impact event occurred.
Abstract:
The present invention relates to a front-end event detector for detecting the occurrence of an event before a signal process is generated, and a low power camera system maintaining the low-power mode when idle but activated in normal mode only when the occurrence of an event is detected in the front-end event detector. The front-end event detector according to the present invention comprises: an image sensor for obtaining analog image data and converting them into digital image data; a first buffer memory for storing the digital image data; a first comparator, wherein the next digital image data delivered from the image sensor is compared to the digital image data stored in the first buffer memory for generating activation signals when the occurrence of an event is detected and transmitting them to an external device; an image signal processor for image data processing the digital image delivered from the first comparator.
Abstract:
An event detection method using frame grouping according to time and an apparatus therefor are provided. The event detection method includes generating a plurality of images by successively capturing objects using a plurality of frames, wherein the plurality of frames are grouped into a plurality of groups based on whether the plurality of frames have the same or similar amounts of exposure, grouping images generated with frames corresponding to each of the plurality of groups, and determining whether a previously defined event occurs using the grouped images.
Abstract:
A biosensor and a sample inflow sensing method are disclosed. The biosensor includes a sample sensing electrode configured to sense inflow of a sample; a component measuring electrode configured to measure a specific component contained in the sample; and an integrated circuit unit for controlling configured to apply a power to the sample sensing electrode periodically and to determine the inflow of the sample based on a capacitance generated by the power applied to the sample sensing electrode.
Abstract:
The present invention which relates to portable environmental sensor measuring and correcting system measuring harmful environmental pollution level by using an environmental sensor in which data is corrected and the method thereof, includes a system correcting unit for removing noise of an environmental sensor, correcting gradient difference according to measured sensing value based on air pollutant concentration value of the environmental sensor in which the noise is removed according to a correcting parameter, and correcting environmental sensor value according to temperature-humidity change which changes characteristics of the environmental sensor, a contamination measuring unit for displaying pollution status by measuring pollution level for the measured sensing value according to corrected value, and a baseline correcting unit for correcting error of the measured sensing value by using national measurement network data based on location information.
Abstract:
Disclosed are a method and a system for recognizing a license plate. The method for recognizing a license plate according to an embodiment of the present disclosure includes generating a localization model for localizing a license plate area attached to an object by learning using image data including the preset object, and a recognition model for recognizing identification information of the license plate by learning using preset license plate image data; when input image is received, localizing a license plate area from the input image using the localization model; and recognizing identification information of a license plate of the corresponding object from the localized license plate area using the recognition model.
Abstract:
This invention relates to an apparatus and system for acquiring non-standard PID corresponding to non-standard operation of a vehicle by using selection input of a user received through a user terminal and OBD data collected from an OBD (On Board Diagnostics) terminal in a vehicle, and the method thereof, and non-standard PID of non-standard operation of a vehicle may be acquired through simple operation of a user terminal regardless of types of vehicles.
Abstract:
The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data. In consequence, it is capable of setting a specific event to be detected by an apparatus for training a learning system by a user after a system is installed, and it is possible to train a learning system sustainably and sufficiently regarding a specific event and achieve a high accuracy of training the learning system.
Abstract:
An image stitching method using viewpoint transformation and a system therefor are provided. The method includes obtaining images captured by a plurality of cameras included in the camera system, performing viewpoint transformation for each of the images using a depth map for the images, and stitching the images, the viewpoint transformation of which is performed.
Abstract:
Disclosed are a method and a system for recognizing a license plate. The method for recognizing a license plate according to an embodiment of the present disclosure includes generating a localization model for localizing a license plate area attached to an object by learning using image data including the preset object, and a recognition model for recognizing identification information of the license plate by learning using preset license plate image data; when input image is received, localizing a license plate area from the input image using the localization model; and recognizing identification information of a license plate of the corresponding object from the localized license plate area using the recognition model.