Scene recognition method and device
A recognition method and scene technology, applied in the field of scene recognition methods and devices, can solve the problems of limited number of scenes and low recognition rate, and achieve the effect of increasing the number of recognitions and improving the recognition accuracy.
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Embodiment 1
[0017] The method embodiment provided in Embodiment 1 of the present application can be applied to devices such as smart peepholes or security doors, and the method steps can optionally be executed in a computer terminal or a similar computing device. Take running on a computer terminal as an example, figure 1 It is a block diagram of the hardware structure of a computer terminal of a scene recognition method according to the embodiment of the present application. Such as figure 1 As shown, the computer terminal 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the above-mentioned computer terminal also Transmission means 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand...
Embodiment 2
[0055] In this embodiment, a device for identifying a scene is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has already been described will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
[0056] According to another embodiment of the present application document, a scene recognition device is also provided, including:
[0057] The first acquiring module is configured to acquire a first scene outside the security door through a camera, wherein the camera is set on the security door;
[0058] The second acquisition module is configured to use a machine learning model to acquire the first control instruction associated wi...
Embodiment 3
[0064] The embodiment of the present application also provides a storage medium. Optionally, in this embodiment, the above-mentioned storage medium may be configured to store program codes for performing the following steps:
[0065] S1, acquiring a first scene outside the security door through a camera, wherein the camera is set on the security door;
[0066] S2, using a machine learning model to obtain a first control instruction associated with the first scene, wherein the machine learning model is obtained by using the first sample information as input information of the original model to train the original model , the first sample information includes a first rule and multiple sets of scenarios, wherein the first rule is a rule for identifying a control instruction according to the scenario;
[0067] S3. Execute the operation corresponding to the first control instruction.
[0068] Optionally, in this embodiment, the above-mentioned storage medium may include but not li...
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