Image-based potential risk early warning method, system and device

Abstract

The invention provides an image-based potential risk early warning method, system and device, and relates to the technical field of Internet of Things. The method comprises the following steps: acquiring a depth image of a target area; obtaining an object recognition result based on the depth image of the target area and an object recognition model; wherein the object recognition model is obtained based on object image training data and corresponding object label training; if it is judged that a recognition object corresponding to the object recognition result belongs to a preset object, obtaining movement information of the recognition object according to a preset number of continuous depth images of the target area; and if it is judged that the identification object has a potential risk according to the movement information of the identification object and a potential risk identification rule, carrying out potential risk early warning. The system and the device are used for executing the method. According to the image-based potential risk early warning method, system and device provided by the embodiment of the invention, the security is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an image-based potential risk early warning method, system and device. Background technique [0002] In real life, the scope of human vision is limited, and it is basically concentrated in about 180 degrees in front, and there is a blind spot for vision. [0003] Due to the existence of visual blind spots, some unpredictable dangers may be caused, and the influence of factors such as attention and obstructions further increases the possibility of dangers. For example, when a person is walking, there is a blind spot behind the vision, and the electric vehicle or bicycle in the back is too close to the person, resulting in scratches with the human body; the workers in the factory do not notice the movement of mechanical equipment such as forklifts or cranes in the blind spot, resulting in of safety incidents. [0004] Therefore, how to propose an image-based potent...

AI Technical Summary

Problems solved by technology

[0003] Due to the existence of visual blind spots, it may lead to some unpredictable dangers, coupled with the influence of factors such as attention and obstacles, further increasing the possibility of danger

For example, when people are walking, the rear is a visual blind spot, and the electric vehicles or bicycles passing by behind are too close to people, causing scratches with the human body; workers in the factory do not notice the movement of mechanical equipment such as forklifts or cranes in the visual blind spot, resulting in of security incidents

Images