Embeddable non-contact elevator key interaction method fused with face recognition

Abstract

The invention discloses an embeddable non-contact elevator key interaction method fused with face recognition, which comprises the following steps of: firstly, carrying out edge detection on a shooting area in an original image through a Laplace filtering operator to obtain an edge image, and filtering the edge image by utilizing a linear filtering operator in the horizontal direction and a linear filtering operator in the vertical direction; then adopting a Hough straight line detection algorithm to conduct straight line detection on the images obtained after horizontal filtering and vertical filtering so as to position the area of the elevator key panel, and solving a homography transformation matrix; then using an improved YOLOv3 algorithm for detecting and positioning the fingers of the elevator user, obtaining floor keys pointed by the fingers according to the homography transformation matrix, and meanwhile obtaining face information of the resident for dual verification. According to the elevator key recognition system, the elevator keys selected by the elevator user can be accurately recognized, non-contact elevator taking can be achieved, and the safety of residents is guaranteed through double verification of floor information and resident face information.

Description

technical field [0001] The invention relates to the technical fields of computer vision and human-computer interaction, in particular to an embeddable non-contact elevator button interaction method integrated with face recognition. Background technique [0002] Today, elevators are widely used in urban high-rise buildings, and have become an indispensable means of transportation for people who live and work in high-rise buildings. Usually, the elevator buttons are of contact type. People need to touch the elevator buttons to choose the floor to go to and control the opening and closing of the elevator doors. In the elevator, different people press the elevator buttons every day, which will make the elevator buttons carry various Bacteria or viruses can easily cause cross-infection and increase the chance of transmission. [0003] With the development of science and technology, human-computer interaction technology has become diversified. People are no longer satisfied with ...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned schemes based on machine vision technology and image processing algorithms all have a common shortcoming: the diversity of projection scenes cannot be guaranteed

For example, in an interactive system based on hand skin color, when the projected scene is similar to the hand skin color, the effect of the hand foreground separation algorithm is greatly reduced

For interactive systems based on deformable surfaces, although the system can maintain stable operation in the projection scenarios set by the system, if it is applied to variable projection scenarios, the deformation detection of projected images will become inaccurate. Different scenarios are designed, and the system development cost is relatively high

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