Method and system for simulating touch instructions by shielding camera shooting area

Abstract

The invention provides a method and a system for simulating touch instructions by shielding a camera shooting area. The method comprises collecting the image sequence of a shielding operation captured by a camera; identifying the collected image sequence to separate the area with a shield and the area without a shield in every image, and converting every separated image into a binarized image; analyzing the change of the shield in every image of the image sequence to identify operational events happed in the image sequence; determining whether the identified operational events confirm to preset events in a preset event sequence; if so, generating corresponding simulative touch instructions; if not, not generating any simulative touch instructions; performing corresponding simulative touch operations according to the generated simulative touch instructions. The invention also provides the system corresponding to the method. The method and the system for simulating the touch instructions by shielding the camera shooting area greatly reduce the requirements on operational capability of the system compared with existing hand touch identification, and save keys or touch input elements compared with existing touch input manners.

Description

technical field [0001] The present invention relates to the field of Internet of Things terminal user command input and device control, in particular to a method and system for simulating a touch command by shielding a camera area. Background technique [0002] Camera systems are more and more widely used in various application scenarios, and various IoT terminal products with camera functions have been derived, such as network surveillance cameras for security, baby monitors, driving recorders, video doorbells, etc. Wait. In addition to being remotely used by remote users through the Internet, these IoT devices also have the function of being directly (face-to-face) manipulated and used by near-end users. For example, in the intercom function of a network surveillance camera, the near-end user can control the volume of the intercom sound; the night light function of some baby monitors allows the near-end user to directly adjust the brightness and color of the light; Most ...

AI Technical Summary

Problems solved by technology

[0003] Existing camera systems generally have certain video recognition computing capabilities, so cameras can be used as input devices, and the existing method is to realize the control by recognizing the user's command input subject (human touch), but this The method has the following defects: since the human hand recognition based on vision needs to involve the recognition operation of skin color and hand shape, and the amount of calculation is relatively large, the requirements for the computing power of the embedded camera system are relatively high; end input elements, which increases the complexity of the system

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