Automobile automatic unlocking control method and system based on face and gesture recognition
A gesture recognition and automatic unlocking technology, applied in the field of intelligent recognition, can solve the problems of unrecognizable, reduced vehicle safety, insufficient camera precision, etc., and achieve the effect of ensuring uniqueness and safety
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[0032] With the emergence and popularization of new energy electric vehicles, the battery power is sufficient to drive the long-term power supply required by the system; secondly, with the development of camera technology, the cost and accuracy of the camera are constantly improving, which is enough to provide the image data of ordinary cameras to AI. Graphic recognition, so AI recognition technology already has the basic conditions to be popularized in the automotive field. If AI recognition technology can be combined with car unlocking, the uniqueness and safety of the unlocking method can be improved.
[0033] refer to figure 1 Specifically, this embodiment proposes a method for automatically unlocking a car based on face and gesture recognition, including the following steps,
[0034] S1: the collection module 100 monitors the external environment and collects external images;
[0035] Wherein, after the car is parked and the car owner pulls out the key and gets off the car...
Embodiment 2
[0076] refer to Image 6 The schematic diagram shows that a car automatic unlocking control system based on face and gesture recognition is proposed in this embodiment, and the car automatic unlocking control method based on face and gesture recognition in the above embodiment can be implemented and operated on the basis of this system . Specifically, the system includes a collection module 100 , a face detection module 200 , a prompt module 300 , a gesture detection module 400 , a car lock module 500 and a DILU monitoring system 600 . Wherein the collection module 100 is arranged on the outside of the vehicle, which can monitor the external environment and collect external images; the face detection module 200 is used to identify and match the face images, and judge whether it is the car owner; the prompt module 300 can match the person of the car owner Respond to the face image, prompting the owner to make an unlocking gesture; the gesture detection module 400 is used to id...
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