Intelligent inspection system and method based on target detection and SLAM composition
A target detection and intelligent inspection technology, applied in control/adjustment systems, transportation and packaging, two-dimensional position/channel control, etc., to eliminate misoperation and judgment fatigue, improve the degree of interaction, and improve efficiency.
Pending Publication Date: 2022-05-24
HEFEI UNIV OF TECH
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[0006] The present invention uses laser SLAM with a visual camera to solve the problems of object positioning and map construction in the indoor environment, and uses an open source ROS robot operation platform to design the control system of the smart car, which is easy to grasp, easy to modify, easy to control, and has strong functional scalability. features
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[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0038] In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
[0039] In recent years, the field of artificial intelligence has developed rapidly. The intelligent era of the Internet of Everything has arrived. Looking at the international world, ma...
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The invention relates to an intelligent inspection system and method based on target detection and SLAM composition. The system comprises an ROS robot management unit, an inertial measurement unit, an SLAM algorithm composition unit, a target detection unit, a network communication unit and an autonomous navigation unit. The autonomous navigation unit is connected with the ROS robot management unit, and the ROS robot management unit is connected with the inertial measurement unit, the SLAM algorithm composition unit, the network communication unit and the target detection unit. According to the invention, the inspection of the dangerous area is carried out through the deep learning technology, so that a series of problems of huge manpower consumption, low inspection speed and the like in manual inspection are solved, and the personal safety of workers can be guaranteed.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence and robotics, in particular to an intelligent inspection system and method based on target detection and SLAM composition. Background technique [0002] With the rapid development of artificial intelligence and robotics, the application of mobile robots in production workshops, logistics warehouses, substations and other occasions has gradually increased. Due to the complex working environment of the robot, the difficulty of its mapping, navigation and motion control also increases accordingly. [0003] At present, domestic robot inspections have always been used as a supplement to manual inspections, and are carried out simultaneously with manual inspections. For example, manual inspections are used in substations. It takes at least 2-3 hours at a time, and at least two operation and maintenance personnel are required for each inspection. A lot of manpower. In the process of equ...
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Login to View More IPC IPC(8): G05D1/02
CPCG05D1/0251G05D1/0221G05D1/0276
Inventor 付炎平夏敬文郭行骞周波
Owner HEFEI UNIV OF TECH