Method and system for performing adaptive mobile phone energy conservation through face identification

Abstract

The invention discloses a method for realizing adaptive mobile phone energy conservation. The method comprises the following steps of: making a mobile phone enter an intelligent electricity-saving state; sampling and taking photos in front of the mobile phone through a mobile phone camera at intervals to obtain images; and judging whether a human face is in the images or not by a human face identification technology; if a human face image is obtained, performing step 104, i.e. judging whether the identified human face meets a requirement or not, if so, performing step 105, i.e. keeping a motion state, and temporarily shielding electricity-saving operation, otherwise, performing step 106, i.e. entering an electricity-saving mode and waiting for arousing. The scheme has the advantages that: the recognition rate is higher, the power consumption is more accurately controlled (i.e. when to adjust the frequency of a central processing unit (CPU), whether a backlight is turned on or not, whether a system is in a stand-by state or not, and the like). The user experience is higher, and the phenomenon that data loss is caused by energy conservation at the time that the energy should not be saved is avoided.

Description

technical field [0001] The invention relates to a method and system for self-adaptive mobile phone energy saving through face recognition, in particular to a method and system for self-adaptive mobile phone energy saving through face recognition technology. Background technique [0002] At present, smart phones are becoming more and more popular, the functions of mobile phones are increasing, and the platforms of mobile phones are becoming stronger and stronger. Users are increasingly relying on mobile phones to participate in various applications. Mobile phones have become an indispensable means of communication in life. tool. For example, people often use mobile phones to participate in instant messaging (IM), play interactive online games, receive various Push information, participate in interactive Q&A, and so on. [0003] However, an obvious problem is that the battery life of mobile phones has not kept up with the diversification and complexity of applications. The en...

AI Technical Summary

Problems solved by technology

[0005] 1) The forecast is inaccurate. It is difficult to correctly judge the use of mobile phones in the short term in the future based on the current and previous input;

[0006] 2) The user experience is not good, for example, just stopped for 30 seconds and wanted to write a sentence, but was about to continue, and found that the mobile phone entered the power saving mode;

[0007] 3) It is difficult to arrange smarter and more detailed energy-saving levels for mobile phones according to the actual situation of the application. There can only be two levels, either to save power or to achieve the highest performance

Images