KEYWORDS: Image segmentation, Sensors, Cameras, Sensing systems, Infrared imaging, Infrared radiation, Data modeling, Clouds, 3D modeling, RGB color model
Unmanned verification of weights requires machines to grab and carry weights on behalf of people. High-precision
spatial coordinates of weights are the key parameters for unmanned verification of weights. This article starts with multimodal
sensing positioning technology, and proposes a spatial positioning technology solution based on multi-modal
sensing stacking kilogram weights. Through technical solutions such as deep learning, LM optimization, and least
squares fitting, the stacking of kilograms under fluorescent lighting is realized. The spatial positioning of the weight
handle forms a versatile method for positioning the handles of stacked kilogram weights. Experiments were carried out
by simulating the construction of 3×3×2 stacked kilogram weights in different states. The results showed that spatial
positioning accuracy of the stacked weights instance is millimeter-level, and the calculation time of the overall algorithm
is less than 6s, which can realize the spatial positioning of stacking kilogram weights in complex environments.
Unmanned verification of weights helps to improve the efficiency of weight verification and enhance the traceability of test data. This article started with the overall design of the intelligent verification system for stacked kilogram group weights, and proposed a software and hardware platform developed by relying on stacked kilogram group weights deep learning recognition and segmentation technology and kilogram group weight multi-modal sensing positioning technology to achieve fluorescent lighting. Intelligent verification of stacked kilogram weights. The system test experiment was carried out by simulating the construction of a stacked kilogram group weight stack, which verified the effectiveness and accuracy of the intelligent verification system. The verification time of a single weight instance was about 42s, which could meet the actual needs of the stack kilogram group weight verification process and realized the machine. The generation greatly improved the verification efficiency of stacked kilogram weights.
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