Intelligent unmanned water rescue device based on binocular vision and a use method thereof

Abstract

The invention relates to an intelligent unmanned water rescue device based on binocular vision and a use method thereof, including a lifeboat hull, The device comprises a rescue hull, lifting and translating steel mesh devices, a binocular vision detection device, an image acquisition and pressing device, a dual-arm manipulator device and an alarm device. The rescue insides of two ship chambers ofthe rescue hull are equipped with the lifting and translating steel mesh devices. The top ends of tails of the ship chambers of the rescue hull are equipped with dual arm manipulators. The top ends at heads of the ship chambers of the rescue hull are equipped with Binocular vision detecting devices. An image collecting and pressing device is arranged at the middle of the top end of the lifeboat hull platform, and an alarm device is arranged on the side wall of the inner cavity of the lifeboat hull.Through a binocular vision system, accurate positioning of drowning personnel is achieved, and an alarm signal is sent out, which greatly improves the drowning personnel identification accuracy and rescue speed, and in the rescue process, drowning alarm is carried out at the same time to carry out the first time artificial rescue operation.

Description

technical field [0001] The invention belongs to the technical field of unmanned water rescue, and in particular relates to an intelligent unmanned water rescue device based on binocular vision and a usage method. Background technique [0002] Drowning incidents occur frequently in our country, and drowning incidents have become a hot topic of safety hazards. In the existing water rescue devices, whether someone is drowning is mainly determined by the drone camera, that is, relying on the camera to take pictures and the processor to judge whether someone is drowning. However, in the actual salvage and rescue process, a single camera cannot accurately locate the actual coordinates of the drowning person by taking pictures of the drowning person, which greatly delays the rescue time of the drowning person, and the drowning person is likely to die due to untimely rescue. The use of manual rescue requires a lot of manpower to patrol the water surface continuously, and due to the...

AI Technical Summary

Problems solved by technology

However, in the actual salvage and rescue process, a single camera cannot accurately locate the actual coordinates of the drowning person by taking pictures of the drowning person, which greatly delays the rescue time of the drowning person, and the drowning person is likely to die due to untimely rescue.

The use of manual rescue requires a lot of manpower to patrol the water surface continuously, and due to the limited visual area that people can see, the depth of the water surface and the waves of the waves greatly reduce the visibility of people, and the noise of lifeboats and the sound of waves will affect people. The auditory system is troubled, and it is difficult for the on-site staff to judge whether someone is drowning in a timely and accurate manner.

Furthermore, manual salvage and rescue need to invest a large amount of special rescue equipment and personnel with rescue capabilities, which greatly increases the economic investment.

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