53results about How to "Timely reminder" patented technology

The invention relates to an intelligent night driver-assistance system.An infrared camera acquires a front road condition image of a vehicle in real time and transmits the image to a master control module through an image processing chip, a millimeter-wave radar transmits a detected target distance signal to the master control module, the master control module identifies information of the front road condition image of the vehicle and perform judgment in real time, starts an infrared light supplementing LED to improve the brightness of a target area and keeps original brightness of other areas when determining that the running safety of the vehicle is threatened, reduces the brightness of a target vehicle area for dazzle prevention, transmits processed image information to an image processing module in real time and displays the information through a displayer when determining that same-direction or opposite-direction target vehicles runs on the aspect of the front road condition of the vehicle; the master control module calculates and analyzes the received target distance signal and sends the real-time information of the road condition and alarm information to a voice prompting module.The intelligent night driver-assistance system can increase a detection distance and improve the imaging quality under the poor lighting conditions, such as night and rainy, snowy and haze days.

This specification discloses a monitoring and processing method, system and related equipment based on a vehicle terminal system. The method applies a vehicle-mounted terminal system, including: acquiring monitoring data collected by a monitoring device set at a target location based on the Internet of Vehicles. According to the characteristic data characterization method of the pre-set abnormal situation recognition model, the characteristic data is extracted from the monitoring data, and based on the abnormal situation recognition model combined with the characteristic data, the abnormal situation of the target location is identified. The model is based on the samples extracted from the abnormal situation The extracted feature data and the corresponding abnormal condition classification labels are trained. When the abnormal situation recognition result indicates that there is an abnormal situation at the target location, the vehicle status of the vehicle is detected, and an on-board alarm method that conforms to the vehicle status is determined. According to the on-vehicle alarm mode, an alarm operation for the identification result of the abnormal situation is initiated. Based on the solution of the present application, the vehicle personnel can remotely perceive the abnormal condition of the target location through the vehicle terminal system.