Rescue site image identification method and device, equipment and computer medium

Abstract

The invention relates to the artificial intelligence technology, and discloses a rescue scene image identification method. The method comprises the following steps: using a trailer scene image set anda power-on scene image set to train an initial image identification model to obtain a first target detection model and a second target detection model; aggregating the first target detection model and the second target detection model into a parallel detection model, and preliminarily judging whether the scene label to which the to-be-identified rescue scene image belongs is a trailer scene or apower-on scene or not by utilizing the parallel detection model, and inputting the to-be-identified rescue scene image into the first target detection model or the second target detection model according to the scene label to which the to-be-identified rescue scene image belongs for image identification. The invention further provides a rescue scene image identification device and a computer readable storage medium. In addition, the invention also relates to a blockchain technology, and the trailer scene image set and the power-on scene image set can be stored in the blockchain node. Accordingto the invention, the efficiency of identifying the rescue scene image can be improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular to a rescue scene image recognition method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Due to the development of transportation, more and more people choose to travel by car. If accidents such as traffic accidents occur during travel, they are usually processed in combination with the images of the rescue scene. By obtaining the recognition results of the images of the rescue scene, rescuers can accurately Take rescue actions quickly, thereby reducing the losses caused by traffic accidents and relieving traffic pressure in time. [0003] At present, most of the image recognition methods for the rescue scene are as follows: sequentially input the pictures of the rescue scene into a single-function recognition network for judgment. In this method, since it takes a lot of time to identify the pictures of...

AI Technical Summary

Problems solved by technology

In this method, because it takes a lot of time to identify the pictures of the rescue scene in each recognition network, the recognition efficiency is not high, and it cannot meet the real-time requirements of rescue.

Images