Neural network system and method suitable for portable power inspection
A technology of electric power inspection and neural network, applied in the field of neural network system of portable electric power inspection, can solve the problems of poor inspection effect and low efficiency, and achieve the benefits of portable application, reduce size, reduce model accuracy and hardware the effect of the demand
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Embodiment 1
[0029] like figure 1 As shown, a neural network system suitable for portable electric power inspection includes an image acquisition module, a convolutional neural network operation module and peripheral functional units. The image acquisition module includes a thermal infrared camera, a visible light camera and an anti-shake platform. The convolutional neural network operating module is mainly used to process the convolutional neural network operation of image information, and the convolutional neural network operating module mainly includes CPU, GPU, NPU, TPU, FPGA hardware or a system-on-chip composed of the above-mentioned hardware Composition, the peripheral functional unit mainly includes power management, wireless image transmission, satellite positioning and display (increase or decrease according to actual needs).
[0030] The satellite positioning is used to locate the geographical location of the power system fault.
[0031] The wireless video transmission is used ...
Embodiment 2
[0034] like figure 2 As shown, a neural network inspection method suitable for portable power inspection, the system completes the power inspection task under the control of a multi-core CPU, one of the main CPU cores is used for process control, and the other CPU cores assist the convolutional neural network operation unit Complete information processing, the specific method steps are as follows:
[0035]1) After starting up, the infrared thermal imaging camera collects images first, while the visible light camera is in a standby state;
[0036] 2) When a suspected inspection target is detected in the infrared image, it is compared with the infrared image detected last time. If it is a new target, the visible light camera is used to collect the visible light image synchronously;
[0037] 3) Obtain the coordinates of the area where the target is located in the infrared image;
[0038] 4), according to the parameters of the two cameras, determine the coordinates of the targe...
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