CN111049992A - Safety prompting method and system for head lowering family - Google Patents
Safety prompting method and system for head lowering family Download PDFInfo
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- CN111049992A CN111049992A CN202010026728.7A CN202010026728A CN111049992A CN 111049992 A CN111049992 A CN 111049992A CN 202010026728 A CN202010026728 A CN 202010026728A CN 111049992 A CN111049992 A CN 111049992A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention discloses a safety prompting method and a system for a head lowering family, wherein the method comprises the following steps: s1, monitoring the running state of the mobile phone in real time; s2, when the mobile phone is monitored to move on the road, starting a corresponding monitoring mode; s3, when the mobile phone leaves the road, closing the corresponding monitoring mode; and S4, analyzing the monitored data and feeding back to the user. The advantages are that: the method meets the requirements of most walking head lowering families, ensures the safety of users in driving, and has good improvement effect of separating from the mobile phone for users with higher dependence degree on the mobile phone.
Description
Technical Field
The invention relates to the field of deep learning software systems, in particular to a safety prompting method and system for a low-head family.
Background
With the rapid development of smart phones and mobile technologies, mobile phones have become an indispensable part of people's work and life. The figure of the head-lowering family can be seen no matter where and when, and the walking head-lowering family is also an important member, and the accidental death rate of pedestrians walking on the road and looking at the mobile phone is increased year by year. According to the statistics of incomplete investigation, more than 25% of people belong to the severe low head family, more than 35% of people belong to the mild low head family, more than 60% of people have the habit of walking and playing mobile phones, and the personal safety of individuals is greatly threatened. Research shows that the attention degree of people to surrounding dangers is greatly reduced when the mobile phone is used, and some people even wear earplugs and cannot hear outside sounds, so that safety accidents such as traffic accidents are easily caused. However, the number of such safety prompting products in the market is small, and the functions are single, so that the basic requirements of users cannot be met.
Disclosure of Invention
The invention aims to provide a safety prompting method for a low-head family and a system thereof, the method provides two safety schemes with different degrees aiming at the low-head family of the heavy-walking and light-walking people, the method comprises the steps of carrying out obstacle detection and sending out safety warning in the first running mode, calling the authority of a rear camera, displaying the scenery of the rear camera on a screen of a mobile phone, changing the displayed transparency, adjusting the virtual and real degrees of the displayed scenery of the rear camera by adjusting the transparency, simultaneously integrating scene detection, detecting that the scene is not suitable for walking to play the mobile phone, and automatically switching to the second mode, and aims to improve the safety guarantee of the heavy-walking low-head family. When the mobile phone is in the second running mode, the mobile phone automatically locks the screen, so that the walking safety is ensured, traffic accidents are avoided, and the habit of brushing the mobile phone by a slightly walking lower head race can be improved or even slowly changed.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a safety prompting method for a low head family, the method comprising:
s1, monitoring the running state of the mobile phone in real time;
s2, when the mobile phone is monitored to move on the road, starting a corresponding monitoring mode;
s3, when the mobile phone leaves the road, closing the corresponding monitoring mode;
and S4, analyzing the monitored data and feeding back to the user.
Preferably, the step S2 specifically includes:
s21, judging whether the operation of the mode one is suitable or not, if so, turning to the step S22, and if not, turning to the step S23;
s22, executing a first mode;
and S23, executing a second mode.
Preferably, the first mode is specifically:
s221, performing target recognition and scene recognition, and sending a picture shot by a rear camera of the mobile phone to a main screen of the mobile phone;
s222, judging whether the scene is an improper scene or not, if so, turning to the step S223, and if not, turning to the step S224;
s223, executing a mode II;
s224, detecting whether an obstacle exists, if so, executing a step S225, and if not, continuing to detect;
and S225, sending alarm information.
Preferably, the alarm information includes three types of voice, screen prompt and vibration.
Preferably, a habit index a is set in the first mode, and the habit index a is a ratio of the screen-on time of the mobile phone to the walking time on the road, and the ratio is divided into m levels.
Preferably, the mode two is specifically:
s231, detecting whether the mobile phone is moving, if so, turning to the step S232, and if not, continuing to detect;
s232, detecting whether the mobile phone screen is lightened, if so, turning to the step S233, otherwise, turning to the step S231;
and S233, performing screen locking operation, and turning to the step S22 after the screen is locked for n seconds.
Preferably, an index B is set in the second mode, and the index B is a ratio of the number of times of screen lightening of the mobile phone in the second mode to the total number of times of screen lightening in the walking state.
Preferably, the step S3 specifically includes:
and S31, judging whether the vehicle still moves on the road, if so, turning to the step S2, otherwise, turning to the step S4 after the mobile phone closes the corresponding monitoring mode.
Preferably, a system using the safety warning method for a low head family, the system comprises:
the monitoring processing module is used for monitoring the mobile phone and the environment thereof and carrying out corresponding processing;
the safety prompting module is used for alarming and reminding a mobile phone user to pay attention to road safety after the monitoring processing module finds the barrier;
the data analysis module is used for analyzing and processing various data in the monitoring process of the monitoring processing module;
the display module is used for displaying various image pictures in the monitoring processing module and the data of the data analysis module;
and the setting module is used for presetting the safety prompting module and setting different types of alarm modes.
Compared with the prior art, the invention has the following advantages: the invention provides a safety prompting method and a safety prompting system for a low-head family, which provide two safety schemes with different degrees aiming at the low-head family of the high-degree walking and low-degree walking in the low-head walking crowd. When the mobile phone is in the second running mode, the mobile phone automatically locks the screen, so that the walking safety is ensured, traffic accidents are avoided, and the habit of brushing the mobile phone by a slightly walking lower head race can be improved or even slowly changed. The method also comprises a plurality of alarm prompting modes to meet the individual requirements of users, so that the software is more vivid and interesting when in use, the requirements of most walking head lowering families are met, and the safety of the users is greatly improved.
Drawings
FIG. 1 is a diagram illustrating a safety prompting method for a low head family according to the present invention;
FIG. 2 is a diagram illustrating a safety prompting method for a low head family according to an embodiment of the present invention;
FIG. 3 is a technical flowchart of a mode one of the safety prompting method for a low-head family according to the present invention;
fig. 4 is a technical flowchart of a mode two of the safety prompting method for a low-head family according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
As shown in fig. 1, a safety prompting method for a low head family according to the present invention includes: and S1, monitoring the running state of the mobile phone in real time by using application software pre-installed on the mobile phone.
The motion state of the mobile phone is judged by calling the permission of a mobile phone sensor and monitoring the state of a screen. If the screen is lit, the pedometer sensor is triggered and when it detects that a count is produced that produces an amount of movement greater than 6 steps, it is flagged as being in motion on the road. Specifically, in this embodiment, the states of the mobile phone, such as movement, positioning, and screen lighting, are monitored.
Map software, a deep learning model and a frame are pre-installed on the mobile phone. The mapping software may select a Baidu map or a Gade map, etc. In this embodiment, the deep learning model and framework is specifically TenSorFlow. TenSorFlow is an important software tool in the field of artificial intelligence AI, and is open source software (free) developed by Google. The field of artificial intelligence is divided into three aspects, namely a basic layer, a technical layer and an application layer, and the TenSorFlow is a learning framework in the technical layer. The TenSorFlow model framework can well model the road environment, the application software can be operated in a mobile phone background all the time after being installed on the mobile phone, and can be automatically started if the mobile phone is turned off and then started again, the software can automatically monitor the states of the mobile phone, such as movement, positioning, screen lightening and the like in the operation process, the modules in the existing smart mobile phone are self-contained, and the software can be well called and monitored in real time.
And S2, when the mobile phone is monitored to move on the road, starting a corresponding monitoring mode. When the mobile phone is monitored to walk on the road through map software positioning, if the mobile phone screen is found to be in a bright screen state, the mode one or the mode two is started, and if the mobile phone screen is monitored to be in a closed state, the mode one or the mode two is not triggered.
As shown in fig. 2, the step S2 specifically includes: s21, judging whether the operation of the mode one is suitable, if so, turning to the step S22, and if not, turning to the step S23. The case of the first mode is that the scene is not suitable for walking to play the mobile phone, such as crossing zebra crossing (the current position is confirmed by the positioning of the mobile phone), and the process goes directly to step S23, otherwise, the scene is suitable. The invention provides two safety schemes with different degrees of a mode I and a mode II for walking lower head group people according to actual conditions.
And S22, executing the first mode.
In the first mode, the mobile phone detects obstacles by means of software of the mobile phone and sends out safety warning, the authority of the rear camera is called, the scenery of the rear camera is displayed on the screen of the mobile phone and is integrated with scene detection, and when the situation is detected to be unsuitable for playing the mobile phone by walking, the mobile phone is automatically switched to the second mode.
As shown in fig. 3, the first mode specifically includes: and S221, performing target recognition and scene recognition. The method specifically comprises the following steps: and starting the rear camera of the mobile phone to perform target recognition and scene recognition operations, and delivering the pictures shot by the rear camera to the main screen of the mobile phone, so that the user can conveniently check the pictures. In this embodiment, the delivered picture can adjust the corresponding transparency, and does not affect the user to view other information of the main screen.
S222, determining whether the scene is an inappropriate scene (e.g. people around or vehicles are dense), if so, going to step S223, otherwise, going to step S224.
And S223, executing a second mode.
And S224, detecting whether an obstacle exists, if so, executing a step S225, and if not, continuing the detection. In the monitoring process, a TenSorFlow model is established, the mobile phone models various objects in the road by itself, and if an obstacle is found, the user is alarmed, namely step S225 is executed.
And S225, sending alarm information. In this embodiment, the alarm information includes three types, namely voice, screen prompt and vibration, that is, an alarm sound is generated, a prompt picture pops up on a main screen of the mobile phone, and a vibration effect is generated by the mobile phone. The pop-up prompt screen includes a selection box for proceeding to the execution mode or step S3, and the user can select one of them and stop the alarm sound.
And S23, executing a second mode, specifically, automatically executing screen locking operation by the mobile phone.
As shown in fig. 4, the second mode specifically includes:
s231, detecting whether the mobile phone is moving, if so, turning to the step S232, and if not, continuing to detect;
s232, detecting whether a mobile phone screen is lightened, if so, turning to the step S233, otherwise, turning to the step S231, and continuously detecting whether the mobile phone is moving;
and S233, performing screen locking operation, and turning to the step S22 after the screen locking operation is finished for n seconds, wherein in the embodiment, the step S22 is executed after the screen is locked for 30 seconds.
And S3, when the mobile phone leaves the road, closing the corresponding monitoring mode. And the mobile phone is positioned and monitored by the map software to be out of the road (far away from the road), and the corresponding monitoring software in the mobile phone automatically exits from the monitoring mode.
The step S3 specifically includes: and S31, judging whether the mobile phone still moves on the road, if so, turning to the step S2, otherwise, turning to the step S4 after the mobile phone operates in the first mode and the second mode.
And S4, analyzing the monitored data and feeding back to the user. The method specifically comprises the following steps: after the monitoring mode is exited, the monitoring software analyzes the data obtained in the monitoring process and feeds the data back to the user, so that the user can know the use frequency of the mobile phone in the monitoring stage, and the user can conveniently know the dependence degree of the user on the mobile phone.
Specifically, the first mode is provided with a habit index a for the purpose of paying attention to the habit degree. The habit index A is specifically a ratio of the screen-on time of the mobile phone to the walking time on the road, the ratio is divided into m levels, the dependence degree of a user on the mobile phone is reflected, and the smaller the numerical value is, the lower the dependence degree is. In this embodiment, the habit index a is divided into 10 grades according to 0-100%. The habit index A is calculated by the formula: the habit index is the mode-one-shot working time/walking time, the mode-one-shot working time is the total time for turning on the rear camera under the condition of the mode one, the value is 1 grade [ 0-10% ], the value is 2 grade [ 10% -20% ], the value is 10 grade [ 90% -100% ]. The smaller the index, the better the habituation level.
And the second mode is provided with an index B, the index B is the ratio of the screen-on times of the mobile phone in the second mode to the total screen-on times in the walking state, and the smaller the value is, the fewer the times of using the mobile phone is. The two indexes can reflect the use degree of the mobile phone when the user walks on the road, and the smaller the use degree is, the lower the dependence degree of the user on the mobile phone is.
The habit index A in the mode I and the index B in the mode II can both reflect the use degree of the mobile phone when a user walks on the road, and the smaller the use degree is, the lower the dependence degree of the user on the mobile phone is. In the process, the related data can be calculated and displayed to the user in the form of a chart or characters, so that the user can view the state of the user.
In addition, the present invention also provides a system using the safety prompting method for a low head family, the system comprising: the device comprises a monitoring processing module, a safety prompt module, a data analysis module, a display module and a setting module.
The monitoring processing module is used for monitoring the mobile phone and the environment thereof and carrying out corresponding processing.
And the safety prompting module is used for alarming and reminding a mobile phone user to pay attention to road safety after the monitoring processing module finds the barrier. In this embodiment, the alarm specifically includes three modes, namely voice, picture and vibration.
The data analysis module is used for analyzing various data in the monitoring process of the monitoring processing module, comparing the various data according to the levels set in advance by the user (such as the change of the habit index A and the habit index B), giving reasonable suggestions, recording the data for a long time to obtain charted data, and facilitating the user to visually check whether the habits of the user are improved.
The display module is used for displaying various image pictures in the monitoring processing module and the charting data of the data analysis module.
The setting module is used for presetting the safety prompting module, setting different types of alarming modes (different prompting sounds, prompting animations and mobile phone vibration), adding personalized settings, and reminding a user to avoid danger.
In summary, the invention provides a safety prompting method for low-head family and a system thereof, the method provides two safety schemes with different degrees aiming at the heavy-head walking crowd and the light-head walking crowd by monitoring the running state of a mobile phone, firstly, the method carries out obstacle detection and sends out safety warning, calls the authority of a rear camera, displays the scenery of the rear camera on the screen of the mobile phone, can change the transparency of the display, can adjust the virtual and real degree of the scene of the rear camera by adjusting the transparency, simultaneously, the first mode integrates scene detection, detects that the scene is not suitable for walking to play the mobile phone and automatically switches to the second mode, and aims to improve the safety guarantee of the heavy-head walking crowd. When the mobile phone is in the second running mode, the mobile phone automatically locks the screen, so that the walking safety is ensured, traffic accidents are avoided, and the habit of brushing the mobile phone by a slightly walking lower head race can be improved or even slowly changed.
In addition, the method also comprises a plurality of alarm prompting modes to meet the individual requirements of the user, so that the method is more vivid and interesting in use, meets the requirements of most walking head lowering families, ensures the safety of the user in driving, and has good improvement effect of separating from the mobile phone for the user with higher dependence degree on the mobile phone.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (9)
1. A safety prompting method for a low head family, the method comprising:
s1, monitoring the running state of the mobile phone in real time;
s2, when the mobile phone is monitored to move on the road, starting a corresponding monitoring mode;
s3, when the mobile phone leaves the road, closing the corresponding monitoring mode;
and S4, analyzing the monitored data and feeding back to the user.
2. The safety prompting method for a low head family according to claim 1, wherein the step S2 specifically includes:
s21, judging whether the operation of the mode one is suitable or not, if so, turning to the step S22, and if not, turning to the step S23;
s22, executing a first mode;
and S23, executing a second mode.
3. The safety prompting method for a low head family according to claim 2, wherein the mode one is specifically:
s221, performing target recognition and scene recognition, and sending a picture shot by a rear camera of the mobile phone to a main screen of the mobile phone;
s222, judging whether the scene is an improper scene or not, if so, turning to the step S223, and if not, turning to the step S224;
s223, executing a mode II;
s224, detecting whether an obstacle exists, if so, executing a step S225, and if not, continuing to detect;
and S225, sending alarm information.
4. The head-lowering safety warning method according to claim 3,
the alarm information contains three types of voice, screen prompt and vibration.
5. The head-lowering safety warning method according to claim 2,
and a habit index A is set in the first mode, the habit index A is the ratio of the screen-on time of the mobile phone to the walking time on the road, and the ratio is divided into m grades.
6. The safety prompting method for a low head family according to claim 2, wherein the second mode is specifically:
s231, detecting whether the mobile phone is moving, if so, turning to the step S232, and if not, continuing to detect;
s232, detecting whether the mobile phone screen is lightened, if so, turning to the step S233, otherwise, turning to the step S231;
and S233, performing screen locking operation, and turning to the step S22 after the screen is locked for n seconds.
7. The head-lowering safety warning method according to claim 2 or 6,
and an index B is set in the second mode, and the index B is the ratio of the screen-on times of the mobile phone in the second mode to the total screen-on times in the walking state.
8. The safety prompting method for a low head family according to claim 1, wherein the step S3 specifically includes:
and S31, judging whether the vehicle still moves on the road, if so, turning to the step S2, otherwise, turning to the step S4 after the mobile phone closes the corresponding monitoring mode.
9. A system using the safety warning method for a low head set according to any one of claims 1 to 8, the system comprising:
the monitoring processing module is used for monitoring the mobile phone and the environment thereof and carrying out corresponding processing;
the safety prompting module is used for alarming and reminding a mobile phone user to pay attention to road safety after the monitoring processing module finds the barrier;
the data analysis module is used for analyzing and processing various data in the monitoring process of the monitoring processing module;
the display module is used for displaying various image pictures in the monitoring processing module and the data of the data analysis module;
and the setting module is used for presetting the safety prompting module and setting different types of alarm modes.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111510560A (en) * | 2020-05-03 | 2020-08-07 | 宋彦震 | Automatic screen locking method for crossing road based on satellite positioning system |
CN111935245A (en) * | 2020-07-21 | 2020-11-13 | 太仓煜和网络科技有限公司 | Intelligent mobile protection method and system based on friend-making cloud platform |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105101066A (en) * | 2014-05-12 | 2015-11-25 | 宇龙计算机通信科技(深圳)有限公司 | Method and system for safety warning when mobile terminal is in use |
CN105139349A (en) * | 2015-08-03 | 2015-12-09 | 京东方科技集团股份有限公司 | Virtual reality display method and system |
WO2016110023A1 (en) * | 2015-01-06 | 2016-07-14 | 中兴通讯股份有限公司 | Method and device for controlling use of mobile terminal during movement |
CN109166141A (en) * | 2018-08-10 | 2019-01-08 | Oppo广东移动通信有限公司 | Dangerous based reminding method, device, storage medium and mobile terminal |
-
2020
- 2020-01-10 CN CN202010026728.7A patent/CN111049992A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105101066A (en) * | 2014-05-12 | 2015-11-25 | 宇龙计算机通信科技(深圳)有限公司 | Method and system for safety warning when mobile terminal is in use |
WO2016110023A1 (en) * | 2015-01-06 | 2016-07-14 | 中兴通讯股份有限公司 | Method and device for controlling use of mobile terminal during movement |
CN105139349A (en) * | 2015-08-03 | 2015-12-09 | 京东方科技集团股份有限公司 | Virtual reality display method and system |
CN109166141A (en) * | 2018-08-10 | 2019-01-08 | Oppo广东移动通信有限公司 | Dangerous based reminding method, device, storage medium and mobile terminal |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111510560A (en) * | 2020-05-03 | 2020-08-07 | 宋彦震 | Automatic screen locking method for crossing road based on satellite positioning system |
CN111510560B (en) * | 2020-05-03 | 2021-09-03 | 宋彦震 | Automatic screen locking method for crossing road based on satellite positioning system |
CN111935245A (en) * | 2020-07-21 | 2020-11-13 | 太仓煜和网络科技有限公司 | Intelligent mobile protection method and system based on friend-making cloud platform |
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Application publication date: 20200421 |