CN111210591A - Artificial intelligence early warning system - Google Patents
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- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0269—System arrangements wherein the object is to detect the exact location of child or item using a navigation satellite system, e.g. GPS
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- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
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Abstract
The embodiment of the invention discloses an artificial intelligence early warning system, and particularly relates to the technical field of campus intelligent safety. According to the invention, by arranging the mobile terminal, when the campus scurry acts, a plurality of students are gathered together certainly, a plurality of sensitive words and beating acts can occur, and the words and beating acts can be detected by the gathering detection unit, the action abnormality unit and the sound detection unit, when a plurality of detection units detect bad information, the mobile terminal transmits the information to the early warning module, the information is uploaded to the cloud server after the early warning module analyzes the bad information, and when a manager knows, the manager can know the place where the campus scurry acts and participants through the GPS positioning unit and the identity binding unit, so that the occurrence of the campus scurry is effectively prevented.
Description
Technical Field
The embodiment of the invention relates to the technical field of campus intelligent safety, in particular to an artificial intelligence early warning system.
Background
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a person, and may exceed human intelligence, and the application of artificial intelligence technology to campus to achieve campus security monitoring or to achieve intelligent automation of campus information management is well known, but due to inadequate school supervision, campus priors may exist in campuses, which in fact means an unequal deception and oppression in power among children, and it has long existed in campuses where behavior of such boom among peers may occur, which may include attacks on limbs or speech, refusal and extrusion in interpersonal interactions, and may also be similar discouraging ones or jeopardy on body parts, critique, comment or booming.
The prior art has the following defects: the existing early warning system for campus rabdosia is too simple to timely check the occurrence of campus rabdosia.
Disclosure of Invention
Therefore, the embodiment of the invention provides an artificial intelligence early warning system, which is provided with a mobile terminal, when campus rabdosia behavior occurs, a plurality of students are gathered together certainly, and a plurality of sensitive words and beating behaviors can appear, and the words and the beating behaviors can be detected by the aggregation detection unit, the behavior abnormity unit and the sound detection unit, when a plurality of detection units detect bad information, the mobile terminal transmits the information to the early warning module, the early warning module uploads the information to the cloud server after analysis, and when a manager knows the information, can know the place where the campus overlook happens and the participants through the GPS positioning unit and the identity binding unit, thereby effectively prevent the emergence of campus overlong rabdosia to solve among the prior art because current early warning system to campus rabdosia is too simple, lead to the problem that can not in time discover campus rabdosia.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: an artificial intelligence early warning system comprises a cloud server, wherein a connecting end of the cloud server is connected with an early warning module, and a connecting end of the early warning module is connected with a movable end and a fixed end;
the mobile terminal comprises a sound detection unit, a GPS positioning unit, an identity binding unit, an abnormal behavior unit and an aggregation detection unit, wherein a plurality of sensitive words are pre-stored in the sound detection unit in advance, when the sound detection unit detects that the sensitive words appear around a wearer, a sound detection module is automatically activated to record surrounding sound and transmit information to an early warning module, the GPS positioning unit comprises a GPS positioning chip used for positioning the geographical position of the wearer and preventing the wearer from being lost, school managers or parents can find the wearer in time, the identity binding unit is used for recording the identity information of the wearer, the identity information comprises student status information, family information, emergency contact information and the like, when the wearer goes wrong, the school managers can know the identity information of the wearer in time, because unusual unit includes triaxial accelerometer and triaxial gyroscope for the action that detects the wearer is not there is the anomaly, when the action range of wearer is great, unusual unit of action becomes and gives the early warning module with information transmission, is analyzed by the early warning module, gathering detecting element is used for detecting the quantity of moving the end around, is used for judging that the wearer is not single one.
Further, the stiff end includes detection element, dead angle detection element, unusual recording unit of action and warning unit of making a video recording, detection element includes a plurality of high definition digtal cameras for detect each place of school, dead angle detection element includes a plurality of high definition digtal cameras, and some dead angle positions of hidden installation in school, like stair space or some alleys.
Furthermore, the abnormal behavior recording unit comprises a sound recorder and is used for recording when the shooting detection unit or the dead angle detection unit detects that the campus rabdosis behavior exists and when the abnormal behavior recording unit exists around the campus rabdosis behavior.
Further, the warning unit comprises a sound device, and some dialogs are recorded in advance and used for stopping sound when campus rabdosis behavior is found to exist.
Further, the early warning module includes analysis unit and backup unit, analysis unit is used for receiving the information of removing end and stiff end to carry out the analysis back with information transmission for cloud ware.
Further, the backup module is used for backing up the information received by the early warning module for later viewing.
Further, the mobile terminal can be a watch or an object such as a necklace, and is convenient for a wearer to carry.
The embodiment of the invention has the following advantages:
1. by arranging the mobile terminal, when the campus scurry acts, a plurality of students are gathered together certainly, a plurality of sensitive words and beating acts can occur, and the words and beating acts can be detected by the gathering detection unit, the action abnormality unit and the sound detection unit, when bad information is detected by a plurality of detection units, the mobile terminal transmits the information to the early warning module, the information is uploaded to the cloud server after the early warning module analyzes the bad information, and when a manager knows the bad information, the manager can know the place where the campus scurry acts and participants through the GPS positioning unit and the identity binding unit, so that the occurrence of the campus scurry is effectively prevented;
2. through being provided with the stiff end, when there is campus blurry inside the school to take place, through detection element and the dead angle detecting element of making a video recording, can in time discover to give early warning module with information transmission, make the administrator can in time know, and through the unusual recording unit of action, can record campus blurry incident, effectively prevented to have the emergence of campus blurry inside the school.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a schematic diagram of the overall structure of the system provided by the present invention;
FIG. 2 is a schematic diagram of a mobile terminal structure according to the present invention;
FIG. 3 is a schematic view of a fixing end structure provided in the present invention;
FIG. 4 is a schematic structural diagram of an early warning module according to the present invention;
in the figure: the system comprises a cloud server 1, an early warning module 2, a mobile terminal 3, a fixed terminal 4, a sound detection unit 5, a GPS positioning unit 6, an identity binding unit 7, an abnormal behavior unit 8, a gathering detection unit 9, a camera shooting detection unit 10, a dead angle detection unit 11, an abnormal behavior recording unit 12, an alarm unit 13, an analysis unit 14 and a backup unit 15.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to the attached drawings 1-2 of the specification, the artificial intelligence early warning system of the embodiment comprises a cloud server 1, wherein a connecting end of the cloud server 1 is connected with an early warning module 2, and a connecting end of the early warning module 2 is connected with a movable end 3 and a fixed end 4;
the mobile terminal 3 comprises a sound detection unit 5, a GPS positioning unit 6, an identity binding unit 7, a behavior abnormity unit 8 and an aggregation detection unit 9, wherein some sensitive words are pre-stored in the sound detection unit 5 in advance, when the sound detection unit 5 detects that the sensitive words appear around the wearer, a sound detection module is automatically activated to record surrounding sound and transmit information to the early warning module 2, the GPS positioning unit 6 comprises a GPS positioning chip and is used for positioning the geographical position of the wearer to prevent the wearer from losing and enable school managers or parents to find the wearer in time, the identity binding unit 7 is used for recording the identity information of the wearer, the identity information comprises student status information, family information, emergency contact information and the like, when the wearer has problems, the school managers can know the identity information of the wearer in time, because unusual unit includes triaxial accelerometer and triaxial gyroscope for the action that detects the wearer is not there is unusually, when the action range of wearer is great, unusual unit 8 of action becomes and transmits information transmission to early warning module 2, is analyzed by early warning module 2, gathering detecting element 9 is used for detecting the quantity of moving end 3 on every side, is used for judging that the wearer is not single one.
The implementation scenario is specifically as follows: when the invention is used, students wear the mobile terminal 3, the mobile terminal 3 comprises a sound detection unit 5, a GPS positioning unit 6, an identity binding unit 7, a behavior abnormity unit 8 and an aggregation detection unit 9, wherein, a plurality of sensitive words are pre-stored in the sound detection unit 5 in advance, when the sound detection unit 5 detects that the sensitive words around the wearer appear, the sound detection module is automatically activated to record the surrounding sound and transmit the information to the early warning module 2, the GPS positioning unit 6 comprises a GPS positioning chip for positioning the geographical position of the wearer to prevent the wearer from missing, and school managers or parents can find the wearer in time, the identity binding unit 7 is used for recording the identity information of the wearer, the identity information comprises student status information, family information, emergency contact information and the like, when a problem occurs to a wearer, school managers can know identity information of the wearer in time, because the abnormal unit comprises a three-axis accelerometer and a three-axis gyroscope and is used for detecting whether the action of the wearer is abnormal or not, when the action amplitude of the wearer is large, the abnormal behavior unit 8 transmits the information to the early warning module 2 and is analyzed by the early warning module 2, the gathering detection unit 9 is used for detecting the number of peripheral mobile terminals 3 and is used for judging that the wearer is not a single person, when campus rabdosis behavior occurs, a plurality of students gather together and can generate a plurality of sensitive vocabularies and can also generate beating behavior, and the information can be detected by the gathering detection unit 9, the abnormal behavior unit 8 and the sound detection unit 5 according to the situation, when the plurality of detection units detect bad information, the mobile terminal 3 transmits the information to the early warning module 2, after the early warning module 2 analyzes, the information is uploaded to the cloud server 1, when the manager knows, the manager can know the place where the campus overlord rabdosis happens and the participating personnel through the GPS positioning unit 6 and the identity binding unit 7, and therefore the campus overlord rabdosis is effectively prevented.
An artificial intelligence early warning system as shown in fig. 1-4, stiff end 4 includes detection element 10, dead angle detection unit 11, unusual recording unit 12 of action and warning unit 13 of making a video recording, detection element 10 includes a plurality of high definition digtal cameras for detect each place of school, dead angle detection unit 11 includes a plurality of high definition digtal cameras, and some dead angle positions of hidden installation in school, such as stair empty or some alleys.
Further, the abnormal behavior recording unit 12 includes a sound recorder, and is configured to record the abnormal behavior recording unit 12 when the shooting detection unit 10 or the dead angle detection unit 11 detects that the campus rabdosis behavior exists and when the abnormal behavior recording unit 12 exists around the campus rabdosis behavior.
Further, the warning unit 13 includes a sound system for recording some dialogs in advance, and is used for stopping the sound when the campus rabdosis behavior is found.
Further, the early warning module 2 includes an analysis unit 14 and a backup unit 15, the analysis unit 14 is configured to receive information of the mobile terminal 3 and the fixed terminal 4, and transmit the information to the cloud server 1 after analysis.
Further, the backup module is used for backing up the information received by the early warning module 2 for later viewing.
Further, the mobile terminal 3 can be a watch or an object such as a necklace, which is convenient for the wearer to carry about.
The implementation scenario is specifically as follows: when the device is used, a fixed end 4 is installed in a school, the fixed end 4 comprises a camera detection unit 10, a dead angle detection unit 11, an abnormal behavior recording unit 12 and a warning unit 13, wherein the camera detection unit 10 comprises a plurality of high-definition cameras and is used for detecting various places of the school, the dead angle detection unit 11 comprises a plurality of high-definition cameras which are installed at some dead angle positions in the school in a concealed mode, such as a stairway space or a plurality of lanes, the abnormal behavior recording unit 12 comprises a sound recorder and is used for recording the abnormal behavior recording unit 12 when the camera detection unit 10 or the dead angle detection unit 11 detects that the campus blushing behavior exists around the abnormal behavior recording unit 12, the warning unit 13 comprises a sound device and is used for recording some dialogs in advance and stopping sound output when the campus blushing behavior is found to exist, when the campus blushing occurs in the school, through detection element 10 and the dead angle detecting element 11 of making a video recording, can in time discover to give early warning module 2 with information transmission, make the administrator in time know, and through unusual recording element 12 of action, can record campus rabdosia event, effectively prevented to have the emergence of campus rabdosia inside the school.
The working principle is as follows:
referring to the attached drawings 1-2 of the specification, when the mobile terminal 3 is used, students wear the mobile terminal 3, the mobile terminal 3 comprises a sound detection unit 5, a GPS (global positioning system) positioning unit 6, an identity binding unit 7, a behavior abnormity unit 8 and an aggregation detection unit 9, wherein a plurality of sensitive words are pre-stored in the sound detection unit 5 in advance, when the sound detection unit 5 detects that the sensitive words around the wearer appear, a sound detection module is automatically activated to record surrounding sound and transmit the information to an early warning module 2, the GPS positioning unit 6 comprises a GPS positioning chip which is used for positioning the geographic position of the wearer to prevent the wearer from being lost, and school managers or parents can find the wearer in time, the identity binding unit 7 is used for recording the identity information of the wearer, and the identity information comprises school information, Family information, emergency contact information and the like, when a problem occurs in a wearer, school managers can know identity information of the wearer in time, because the abnormal units comprise a three-axis accelerometer and a three-axis gyroscope and are used for detecting whether the action of the wearer is abnormal or not, when the action amplitude of the wearer is large, the abnormal behavior unit 8 transmits the information to the early warning module 2 and is analyzed by the early warning module 2, the aggregation detection unit 9 is used for detecting the number of the peripheral mobile terminals 3 and judging that the wearer is not a single person, when campus sculling behavior occurs, a plurality of students are aggregated together affirmatively and a plurality of sensitive vocabularies can occur and beating behaviors can also occur, and the information can be detected by the aggregation detection unit 9, the abnormal behavior unit 8 and the sound detection unit 5 sequentially, when the bad information is detected by the plurality of detection units, the mobile terminal 3 transmits the information to the early warning module 2, and the early warning module 2 uploads the information to the cloud server 1 after analyzing the information;
referring to the attached drawings 1-4 of the specification, when the invention is used, a fixed end 4 is installed in a school, the fixed end 4 comprises a camera detection unit 10, a dead angle detection unit 11, a behavior abnormality recording unit 12 and a warning unit 13, wherein the camera detection unit 10 comprises a plurality of high definition cameras for detecting all places of the school, the dead angle detection unit 11 comprises a plurality of high definition cameras which are installed at some dead angle positions in the school in a concealed manner, such as a stairway empty space or some small lanes, the behavior abnormality recording unit 12 comprises a sound recorder for recording the behavior abnormality recording unit 12 when the camera detection unit 10 or the dead angle detection unit 11 detects that the campus rabdosis behavior exists around the abnormal recording unit 12, the warning unit 13 comprises a sound system for recording some dialogues in advance to stop the sound when the campus rabdosis behavior exists in the school, and when the campus rabdosis occurs in the school, through detection element 10 and the dead angle detecting element 11 of making a video recording, can in time discover to give early warning module 2 with information transmission, make the administrator in time know, and through unusual recording element 12 of action, can record campus long-pending rabdosia event.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (7)
1. The utility model provides an artificial intelligence early warning system, includes cloud ware (1), its characterized in that: the cloud server (1) is connected with an early warning module (2), and the early warning module (2) is connected with a movable end (3) and a fixed end (4);
the mobile terminal (3) comprises a sound detection unit (5), a GPS (global positioning system) positioning unit (6), an identity binding unit (7), a behavior abnormity unit (8) and an aggregation detection unit (9), wherein a plurality of sensitive vocabularies are prestored in the sound detection unit (5), when the sound detection unit (5) detects that the sensitive vocabularies appear around a wearer, a sound detection module is automatically activated to record surrounding sounds and transmit information to an early warning module (2), the GPS positioning unit (6) comprises a GPS positioning chip which is used for positioning the geographical position of the wearer to prevent the wearer from being lost and enable school managers or parents to find the wearer in time, the identity binding unit (7) is used for recording the identity information of the wearer, and the identity information comprises student status information, family information, emergency contact information and the like, when the wearer goes wrong, school's managers can in time know wearer's identity information, because unusual unit includes triaxial accelerometer and triaxial gyroscope for the action that detects the wearer is non-existent unusual, when the wearer action range is great, unusual unit of action (8) become and transmit information transmission for early warning module (2), are analyzed by early warning module (2), gathering detecting element (9) are used for detecting the quantity of removing end (3) on every side for judge that the wearer is non-alone one person.
2. The artificial intelligence early warning system of claim 1, wherein: stiff end (4) are including making a video recording detecting element (10), dead angle detecting element (11), unusual recording unit of action (12) and warning unit (13), detecting element (10) of making a video recording include a plurality of high definition digtal cameras for detect each place of school, dead angle detecting element (11) are including a plurality of high definition digtal cameras, and some dead angle positions at school are installed to hidden, like stair sky or some lane.
3. The artificial intelligence early warning system of claim 2, wherein: the abnormal behavior recording unit (12) comprises a recorder and is used for recording when the shooting detection unit (10) or the dead angle detection unit (11) detects that the campus overlord behavior exists and when the abnormal behavior recording unit (12) exists around the campus overlord behavior.
4. The artificial intelligence early warning system of claim 2, wherein: the warning unit (13) comprises a sound system, and some dialogs are recorded in advance and used for stopping sound when campus rabdosis behavior is found to exist.
5. The artificial intelligence early warning system of claim 1, wherein: the early warning module (2) comprises an analysis unit (14) and a backup unit (15), wherein the analysis unit (14) is used for receiving the information of the mobile terminal (3) and the fixed terminal (4) and transmitting the information to the cloud server (1) after analysis.
6. The artificial intelligence early warning system of claim 5, wherein: and the backup module is used for backing up the information received by the early warning module (2) for later viewing.
7. The artificial intelligence early warning system of claim 1, wherein: the mobile terminal (3) can be a watch or an object such as a necklace and the like, and is convenient for a wearer to carry.
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| CN201911401515.1A CN111210591B (en) | 2019-12-30 | 2019-12-30 | Artificial intelligence early warning system |
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| CN112349060A (en) * | 2020-07-02 | 2021-02-09 | 曾敬 | Alarm method of child watch |
| CN112765986A (en) * | 2021-01-21 | 2021-05-07 | 读书郎教育科技有限公司 | System and method for monitoring social environment of teenagers |
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