Intelligent shooting method and device for substation equipment based on deep learning
A technology of deep learning and shooting methods, which is applied in TV, color TV, electrical components, etc., can solve the problems of insufficient intelligence, multiple manual participation, low processing efficiency, etc., to ensure accuracy, high intelligence, improve The effect of efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0026] The first aspect of the embodiment of the present invention provides a deep learning-based intelligent photographing method for substation equipment, such as figure 1 shown, including:
[0027] Step S1: Control the lens to rotate in the horizontal direction according to the preset angle increment and collect image information, and record the first shooting angle and first shooting focal length of the current lens. The preset angle increment can be any value, which is convenient for description. In this embodiment, the preset angle increment is 30 degrees as an example, and the above-mentioned first shooting angle is denoted as a, and the above-mentioned first shooting focal length is denoted as b.
[0028] Step S2: call the preset substation equipment intelligent recognition model to analyze the image information, and identify the position and quantity of the target equipment in the image information. In a specific embodiment, the number of target equipment in the image...
Embodiment 2
[0053] The second aspect of the embodiment of the present invention provides a deep learning-based intelligent photographing device for substation equipment, such as Figure 4 shown, including:
[0054] The image information collection module 1 is used to control the lens to rotate along the horizontal direction according to the preset angle increment and collect image information, and record the first shooting angle and the first shooting focal length of the current lens. For details, refer to the relevant step S1 of the above-mentioned embodiment 1. describe.
[0055] The target equipment identification module 2 is used to call the preset substation equipment intelligent identification model to analyze the image information, and identify the location and quantity of the target equipment in the image information. For details, refer to the relevant description of step S2 in the first embodiment above.
[0056] The lens adjustment module 3 is used to adjust the angle and / or fo...
Embodiment 3
[0060] The embodiment of the present invention also provides a computer device, such as Figure 5 As shown, the computer device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected by a bus or in other ways, Figure 5 Take connection via bus as an example.
[0061] The processor 51 may be a central processing unit (Central Processing Unit, CPU). Processor 51 can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or Other chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above-mentioned types of chips.
[0062] The memory 52, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transito...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More