Pressing plate state image identification method and system
An image recognition and state recognition technology, applied in the field of power grid operation and maintenance, can solve the problems of error-prone, easy to miss or wrongly patrol the screen cabinet pressure plate, and high operation frequency, and achieve the effect of ensuring uniqueness and correctness.
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[0053] In this example, the mobile terminal adopts the Android system, integrates the trained neural network weight file and the engine model, and has the function of automatically identifying the QR code to check the uniqueness of the identified object. By controlling the mobile terminal camera to adjust the focal length to the secondary device ( Such as the platen) for automatic camera image acquisition, image denoising processing, target edge detection, layout arrangement analysis, state feature discrimination and other key steps, and call the secondary device recognition engine (AI algorithm for platen image recognition based on neural network), complete Monitor and judge the state of the platen position and output the recognition result.
[0054] The platen identification technical parameters of the secondary equipment identification engine are as follows:
[0055] Comprehensive recognition accuracy: >= 96%
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