Target object protection detection method and device, equipment and storage medium
A technology of target objects and protective devices, applied in the field of image recognition, can solve the problems of waste of manpower and material resources, high error rate of inspection results, low efficiency, etc., to reduce the detection error rate, improve safety detection efficiency, reduce labor costs and time costs Effect
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Embodiment 1
[0027] figure 1 It is a flow chart of the protection detection method for a target object provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of inspecting the safety guarantee facilities of the gas station. The method can be executed by the protection detection device for the target object provided in the embodiment of the present invention. The device can be implemented by hardware and / or software, generally Can be integrated in computer equipment. Such as figure 1 As shown, it specifically includes the following steps:
[0028] S11. Acquire image information captured by a camera, determine a target object in the image information, and determine whether there is a protective device related to the target object in the image information.
[0029] Optionally, before acquiring the image information captured by the camera, the computer device provides the user with a user interface, so as to receive user operations and perform rel...
Embodiment 2
[0044] figure 2 It is a flow chart of the protection detection method for the target object provided by the second embodiment of the present invention. The technical solution of this embodiment is further refined on the basis of the above technical solution. Optionally, in this embodiment, the trained neural network model is used to determine the target object in the image information and determine whether there is Guards associated with the target object. Correspondingly, before determining the target object in the image information through the trained neural network model, and judging whether there is a protective device related to the target object in the image information, the initial neural network model needs to be trained. Correspondingly, such as figure 2 As shown, it specifically includes the following steps:
[0045] S21. Acquire a training sample set; wherein, the training sample set includes a plurality of training samples, and each of the training samples pre...
Embodiment 3
[0057] image 3 It is a structural block diagram of a device for protecting and detecting a target object provided in Embodiment 3 of the present invention, and the device is used to implement the method for protecting and detecting a target object provided in any embodiment of the present invention. Such as image 3 As shown, the device includes:
[0058] The target object determination module 31 is used to obtain the image information captured by the camera, determine the target object in the image information, and determine whether there is a protective device related to the target object in the image information;
[0059] The distance determination module 32 is used to determine the actual distance between the target object and the protective device if it is determined that there is a protective device related to the target object in the image information, and detect whether the target object meets the protection requirements by preset safety distance thresholds;
[0060...
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