Abstract: An image text recognition method includes converting an image into a grayscale image, and segmenting, according to layer intervals to which grayscale values of pixels in the grayscale image belong, the grayscale image into grayscale layers with one corresponding to a layer interval, performing image erosion on a grayscale layer to obtain a feature layer corresponding to the grayscale layer, the feature layer including at least one connected region; overlaying feature layers to obtain an overlaid feature layer, the overlaid feature layer including connected regions; dilating connected regions on the overlaid feature layer according to a preset direction to obtain text regions; and performing text recognition on the text regions on the overlaid feature layer to obtain a recognized text corresponding to the image.

Abstract: A video recording method is disclosed including: extracting every predetermined time period a first image captured by a monitoring camera; performing region detection on the first image to extract areas of interest covering some or all parts of a target object; performing motion area filtering on the areas of interest to select one or more target areas; dividing each target area into multiple sub-areas; extracting every predetermined time period a second image captured by the monitoring camera; comparing an image block located in each sub-area of the second image with that in the same sub-area of the second image previously extracted, to determine whether a motion event has occurred in each sub-area; and controlling the monitoring camera to start video recording from the currently extracted second image when a motion event has occurred in a sub-area. A server, system, and storage medium suitable for the method are also disclosed.

Abstract: A video recording method is disclosed including: extracting every predetermined time period a first image captured by a monitoring camera; performing region detection on the first image to extract areas of interest covering some or all parts of a target object; performing motion area filtering on the areas of interest to select one or more target areas; dividing each target area into multiple sub-areas; extracting every predetermined time period a second image captured by the monitoring camera; comparing an image block located in each sub-area of the second image with that in the same sub-area of the second image previously extracted, to determine whether a motion event has occurred in each sub-area; and controlling the monitoring camera to start video recording from the currently extracted second image when a motion event has occurred in a sub-area. A server, system, and storage medium suitable for the method are also disclosed.

Abstract: Disclosed are a system, device, method, and readable storage medium for issuing an auto insurance investigation task. The system includes: a task issuance module that acquires associated crowdsourcing parameters of an auto insurance investigation task, determining one or more public investigators matching the investigation task based on a preset first analysis rule and a preset model, and issuing the investigation task carrying the crowdsourcing parameters to mobile terminals of the determined public investigators; a data acquisition module that obtains corresponding investigation data of the investigation task from a mobile terminal of at least one of the determined public investigators who have accepted the task after recognizing the issued investigation task has been accepted; and a data analysis module that analyzes the obtained investigation data based on a preset second analysis rule and finding out the investigation data that conforms to preset conditions as the task result to be adopted.