CN112535857A - Safety assessment system for outdoor sports - Google Patents
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- CN112535857A CN112535857A CN202011296578.8A CN202011296578A CN112535857A CN 112535857 A CN112535857 A CN 112535857A CN 202011296578 A CN202011296578 A CN 202011296578A CN 112535857 A CN112535857 A CN 112535857A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
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- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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Abstract
The invention provides a safety evaluation system for outdoor sports, which comprises: the system comprises an outdoor environment data analysis unit, a crowd abnormal behavior detection unit, a motion information acquisition unit, a safety level judgment unit and an alarm monitoring unit; the outdoor environment data analysis unit is used for acquiring and analyzing outdoor sport environment data; the crowd abnormal behavior detection unit is used for detecting whether abnormal behaviors such as fighting and trampling occur to students during sports; the exercise information acquisition unit is used for acquiring physical sign information and exercise state information of students performing special outdoor sports; the safety grade judging unit is used for receiving detection data and judging the safety grade according to the detection data and set grade parameter data; the alarm monitoring unit is used for monitoring and managing safety influence factors in real time and giving an alarm, and the system can well evaluate the safety level of outdoor sports and reduce the occurrence of dangerous accidents.
Description
Technical Field
The invention relates to the technical field of sports training, in particular to a safety evaluation system for outdoor sports.
Background
The physical education course is the course that the primary and middle schools of education institute stipulate must study, its purpose is to study physical knowledge skill, strengthen student's physique and temper student's intention quality, the physical education course of giving lessons includes partly indoor exercise and partly outdoor motion, however, under polluted environment and extreme weather condition, carrying out the sports activity will influence healthy, produce the disease even cancer, simultaneously, if also can cause student's health injury and can't deal with in time not paying attention to when special physical training such as long distance running training, hurdle training etc.. According to the investigation, most schools in China still need outdoor physical education under the conditions of environmental pollution and extreme weather, and some special physical training teachers can not supervise the sports at any time after only explaining skills, so that the physical health of students is seriously threatened. The establishment of an effective safety evaluation system for the outdoor physical education classes of the schools can enable the outdoor physical education classes to be carried out under the appropriate natural environment and weather conditions, and the real-time motion state safety of students is monitored and alarmed, so that the learning and exercise quality of the students is guaranteed, and the body health of teachers and students is protected.
In summary, it is an urgent need to solve the problem of the technical staff in the art to provide a safety assessment system for outdoor sports, which can well assess the safety level of outdoor sports, reduce the occurrence of dangerous accidents, and have higher data accuracy and safety.
Disclosure of Invention
The present solution addresses the above-mentioned problems and needs by proposing a safety assessment system for outdoor sports activities that solves the above-mentioned technical problems thanks to the following solution.
In order to achieve the purpose, the invention provides the following technical scheme: a security assessment system for outdoor sports, comprising: the system comprises an outdoor environment data analysis unit, a crowd abnormal behavior detection unit, a motion information acquisition unit, a safety level judgment unit and an alarm monitoring unit;
the outdoor environment data analysis unit is used for acquiring and analyzing outdoor sport environment data, the outdoor environment data analysis unit comprises a meteorological data acquisition module, a data preprocessing module and a data analysis and arrangement module, the meteorological data acquisition module is used for acquiring environmental temperature and humidity, carbon dioxide concentration, PM2.5 concentration, illuminance and climate data information for multiple times, the data preprocessing module is used for carrying out data uniform analysis and frequency domain filtering preprocessing on the data information to obtain meteorological parameter data with uniform format, and the data analysis and arrangement module is used for analyzing and arranging the preprocessed meteorological data to output effective data;
the crowd abnormal behavior detection unit is used for detecting whether abnormal behaviors such as fighting and trampling occur to students in sports, and comprises a motion video acquisition module, an abnormal behavior identification module and an identification result correction output module, wherein the motion video acquisition module, the abnormal behavior identification module and the identification result correction output module are sequentially connected;
the sports information acquisition unit is used for acquiring physical sign information and sports state information of students performing special outdoor sports, and comprises a wearable detection device and a monitoring information transfer module;
the safety grade judging unit is used for receiving detection data sent by the outdoor environment data analyzing unit, the crowd abnormal behavior detecting unit and the motion information acquiring unit and judging a safety grade according to the detection data and set grade parameter data, and the safety grade judging unit comprises a parameter storage module, an information classification cache module, an inquiry comparing module and a user changing module;
the alarm monitoring unit is used for monitoring and managing safety influence factors and giving a safety alarm, and comprises a data input module, an intelligent alarm module, a historical safety factor analysis module and a data query and derivation module, wherein the data input module is used for receiving a safety grade judgment result and analyzing whether the judgment result reaches an alarm grade or not, when the judgment result reaches the alarm grade, the intelligent alarm module is triggered to give an alarm, and the historical safety factor analysis module is used for storing historical detection data, periodically analyzing the safety influence weight of the historical detection data and forming an analysis report.
Further, the user can select different evaluation modes through the user changing module to carry out targeted circulation monitoring on different detection data, wherein the evaluation modes comprise a first evaluation state and a second evaluation state, at least one of environment data, crowd abnormal behavior detection data or motion information can be shielded from being input in the first evaluation state, and the environment data, the crowd abnormal behavior detection data and the motion information are allowed to be input in the second evaluation state.
Furthermore, the meteorological data acquisition module includes hand-held meteorological acquisition device, hand-held meteorological acquisition device includes liquid crystal display, a plurality of sensor interface modules, menu button selection module and controller module, liquid crystal display, a plurality of sensor interface modules and menu button selection module all with the controller module is connected, the controller module is used for passing through the user the operation mode of menu button selection module selection and follows a plurality of sensor interface modules acquire sensing information, the operation mode includes manual mode and automatic mode.
Further, the data analyzing and sorting module receives the meteorological data after multiple times of preprocessing, and calculates effective data of each meteorological value by adopting a weighted average method according to the received multiple meteorological data values.
Furthermore, the motion video acquisition module comprises a plurality of spherical cameras with cloud platforms, the motion video acquisition module sends acquired real-time video images to the abnormal behavior identification module, the abnormal behavior identification module preprocesses video image frames and extracts crowd characteristic information to identify crowd behaviors, and the identification result correction output module corrects and outputs identification results to the safety level judgment unit.
Further, the abnormal behavior identification module specifically includes: firstly, acquiring a preprocessed video frame, and calculating the speed, the acceleration, the direction and the energy value of the crowd movement according to the change of an optical flow field of the crowd movement; then, weighting and fusing the obtained features to form a comprehensive optical flow transient feature descriptor; then, a single-frame image of the crowd motion track is obtained by using a KLT tracking algorithm, and the crowd motion track is extracted on the basis of the original single-frame image to represent the continuous characteristics of the crowd behavior; and (3) shunting the extracted instantaneous and continuous characteristics of the abnormal crowd movement into a double-current convolutional neural network TS-CNN, adding a fusion layer after the convolutional layer to form complete space-time characterization, and finally outputting a crowd abnormal behavior detection result through a classifier.
Further, wearable detection device is used for detecting student's real-time motion state, monitoring information transfer module be used for with detect status information send to safety level differentiates the unit, wearable detection device includes the pulse and detects wristwatch and motion undershirt, the pulse detects the wristwatch and is used for detecting the heartbeat change in the motion process, be provided with collision detection sensor, angle sensor, temperature sensor and wireless transmission module in the motion undershirt intermediate layer, collision detection sensor angle sensor with temperature sensor pass through flexible shielding wire with wireless transmission module links to each other.
Further, the parameter storage module is used for storing safety influence factor parameter threshold value data set by a user, the parameter storage module comprises a rule base storage module and a parameter association list, the parameter association list is used for associating parameter threshold values with different safety levels and different ranges according to rules set in a rule base, the information classification cache module is used for classifying and caching the detection data and sending cache information to the query comparison module according to a time stamp sequence, the query comparison module is used for comparing the received cache information with the set level parameter data to obtain a safety level and sending a comparison result to the alarm monitoring unit, and the user change module is used for the user to set corresponding parameter values of each level.
The alarm monitoring unit further comprises an authority authentication module, wherein the authority authentication module is used for verifying the operation authority when a user carries out data query change through the data query derivation module, the authority authentication module comprises a login module, a joint verification request module and a verification feedback module, when the user logs in the login module, the joint verification request module immediately triggers the joint verification request, the joint verification request module sends the joint verification request to each verification terminal, the verification feedback module is used for receiving feedback information of each verification terminal and comparing the feedback information with set verification conditions, if the feedback information is the same as the set verification conditions, the verification is successful, and otherwise, the user is reminded that the user cannot carry out next operation due to verification errors.
According to the technical scheme, the invention has the beneficial effects that: the invention can well evaluate the safety level of outdoor sports, can reduce the occurrence of dangerous accidents, and has higher data accuracy and safety.
In addition to the above objects, features and advantages, preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings so that the features and advantages of the present invention can be easily understood.
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 of the present invention or the prior art will be briefly described, wherein the drawings are only used for illustrating some embodiments of the present invention and do not limit all embodiments of the present invention thereto.
Fig. 1 is a schematic structural diagram of a safety evaluation system for outdoor sports according to the present invention.
Fig. 2 is a schematic structural diagram of the outdoor environment data analysis unit according to the present invention.
Fig. 3 is a schematic diagram illustrating specific steps of the abnormal behavior detection process according to the present invention.
Fig. 4 is a schematic structural diagram of the alarm monitoring unit according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of specific embodiments of the present invention. Like reference symbols in the various drawings indicate like elements. It should be noted that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
The outdoor physical education course safety evaluation system can enable outdoor physical education courses to be carried out under suitable natural environment and weather conditions, and monitors and alarms the real-time motion state safety of students, so that the learning and exercise quality of the students is guaranteed, and the health of teachers and students is protected. Therefore, the safety assessment system for the outdoor sports can effectively assess the safety level of the outdoor sports, can reduce the occurrence of dangerous accidents, and has higher data accuracy and safety. As shown in fig. 1 to 4, the system includes: the system comprises an outdoor environment data analysis unit, a crowd abnormal behavior detection unit, a motion information acquisition unit, a safety level judgment unit and an alarm monitoring unit. In this system, outdoor environment data analysis unit can carry out a lot of effective collection to sports outdoor exercises's place environmental data through hand-held type meteorological detection device, and crowd abnormal behavior detecting element can carry out real time monitoring to the student crowd who opens up sports, prevents that unusual behaviors such as crowd or fighting from appearing, motion information acquisition unit can be running for a long time. When hurdling and other special physical training, the physical sign state of students is monitored, the safety grade distinguishing unit can distinguish and output the safety grade of the current movement according to the detection data and the safety grade corresponding to the detection data which is set in advance, the alarm monitoring unit receives the output result, alarms when the result reaches the alarm condition, and forms an evaluation report after storing and analyzing historical detection data, thereby being convenient for safety evaluation and analysis.
The outdoor environment data analysis unit is used for acquiring and analyzing outdoor sport environment data, the outdoor environment data analysis unit comprises a meteorological data acquisition module, a data preprocessing module and a data analysis and arrangement module, the meteorological data acquisition module is used for collecting data information such as environment temperature and humidity, carbon dioxide concentration, PM2.5 concentration, illuminance and wind direction, wind speed, atmospheric pressure and the like for multiple times, the data preprocessing module is used for carrying out data unified analysis and frequency domain filtering preprocessing on the data information to obtain meteorological parameter data with a unified format, and the data analysis and arrangement module is used for analyzing, arranging and outputting effective data on the preprocessed meteorological data. As shown in fig. 2, the weather data acquiring module includes a handheld weather acquiring device, the handheld weather acquiring device includes a liquid crystal display, a plurality of sensor interface modules, a menu key selection module and a controller module, the liquid crystal display, the plurality of sensor interface modules and the menu key selection module are all connected to the controller module, the controller module is configured to acquire sensing information from the plurality of sensor interface modules according to an operation mode selected by a user through the menu key selection module, and the operation mode includes a manual mode and an automatic mode. And the data analysis and sorting module receives the meteorological data after multiple times of preprocessing, and calculates the effective data of each meteorological value by adopting a weighted average method according to the received multiple meteorological data values. In the embodiment, in the manual mode, a user can set a sampling interval through the menu key selection module and can record the time of pressing and various environment parameters at the moment and switch between the automatic mode and the manual mode at any time by confirming that the key is pressed once and stored once; the automatic mode automatically records data according to a preset interval time. The user collects data for many times at different positions of the outdoor exercise area, and the data analysis and sorting module respectively carries out weighted average on a plurality of groups of meteorological data collected at different positions and outputs a plurality of groups of collected average values as effective meteorological data.
Accessible crowd's unusual behavior detects carries out real-time supervision to student's safe situation when the free training is carried out to sports class, crowd's unusual behavior detecting element is used for detecting whether the student takes place to fight and trample etc. unusual behavior when carrying out sports, crowd's unusual behavior detecting element includes motion video acquisition module, unusual behavior identification module and identification result and corrects output module, motion video acquisition module unusual behavior identification module with identification result corrects output module and connects gradually. The motion video acquisition module comprises a plurality of spherical cameras with cloud platforms and is arranged at a position capable of covering an outdoor motion area of a student, the motion video acquisition module sends acquired real-time video images to the abnormal behavior identification module, the abnormal behavior identification module preprocesses video image frames and extracts crowd characteristic information to identify crowd behaviors, and the identification result correction output module corrects and outputs identification results to the safety level judgment unit. As shown in fig. 3, the abnormal behavior detection process specifically includes: a. firstly, acquiring a preprocessed video frame, and calculating the speed, the acceleration, the direction and the energy value of the crowd movement according to the change of an optical flow field of the crowd movement; b. then, weighting and fusing the obtained features to form a comprehensive optical flow transient feature descriptor; c. obtaining a crowd motion track single-frame image by using a KLT tracking algorithm, and extracting the crowd motion track on the basis of the single-frame original image to represent the crowd behavior persistence characteristics; d. and (3) shunting the extracted instantaneous and continuous characteristics of the abnormal crowd movement into a double-current convolutional neural network TS-CNN, adding a fusion layer after the convolutional layer to form complete space-time characterization, and finally outputting a crowd abnormal behavior detection result through a classifier.
The exercise information acquisition unit is used for acquiring physical sign information and exercise state information of students performing special outdoor sports, and comprises a wearable detection device and a monitoring information transfer module, wherein the wearable detection device is used for detecting the real-time motion state of the student, the monitoring information transfer module is used for sending the detection state information to the safety level judging unit, the wearable detection device comprises a pulse detection wristwatch and a sports vest, the pulse detection wristwatch is used for detecting the heartbeat change in the sports process, a collision detection sensor, an angle sensor, a temperature sensor and a wireless transmission module are arranged in the interlayer of the sports vest, the collision detection sensor, the angle sensor and the temperature sensor are connected with the wireless transmission module through flexible shielding wires.
The safety grade judging unit is used for receiving detection data sent by the outdoor environment data analyzing unit, the crowd abnormal behavior detecting unit and the motion information acquiring unit and judging a safety grade according to the detection data and set grade parameter data, and the safety grade judging unit comprises a parameter storage module, an information classification cache module, an inquiry comparing module and a user changing module. In the system, a user can select different evaluation modes through the user changing module to carry out targeted circulation monitoring on different detection data, wherein the evaluation modes comprise a first evaluation state and a second evaluation state, the input of at least one of environment data, crowd abnormal behavior detection data or motion information can be shielded in the first evaluation state, and the input of the environment data, the crowd abnormal behavior detection data and the motion information is allowed in the second evaluation state. The parameter storage module is used for storing safety influence factor parameter threshold value data set by a user, the parameter storage module comprises a rule base storage module and a parameter association list, the parameter association list is used for associating parameter threshold values with different safety levels and different ranges according to rules set in a rule base, the information classification cache module is used for classifying and caching the detection data and sending cache information to the query comparison module according to a time stamp sequence, the query comparison module is used for comparing the received cache information with the set level parameter data to obtain a safety level and sending a comparison result to the alarm monitoring unit, and the user change module is used for setting corresponding parameter values of each level by the user.
In the system, as shown in fig. 4, the alarm monitoring unit is used for monitoring and managing safety influence factors and giving a safety alarm, the alarm monitoring unit comprises a data input module, an intelligent alarm module, a historical safety factor analysis module, a data query derivation module and a permission authentication module, the data input module is used for receiving a safety grade discrimination result and analyzing whether the discrimination result reaches an alarm grade or not, the intelligent alarm module is triggered to give an alarm when the discrimination result reaches the alarm grade, the historical safety factor analysis module is used for storing historical detection data, periodically analyzing the safety influence weight of the historical detection data and forming an analysis report, the permission authentication module is used for verifying the operation permission when a user inquires and changes the data through the data query derivation module, and the permission authentication module comprises a login module, a history safety factor analysis module and a permission authentication module, The combined verification request module sends the combined verification request to each verification terminal when a user logs in the login module to immediately trigger the combined verification request, the verification feedback module is used for receiving feedback information of each verification terminal and comparing the feedback information with set verification conditions, if the feedback information is the same as the set verification conditions, the verification is successful, and otherwise, the user is reminded that the verification error cannot be operated next step.
It should be noted that the described embodiments of the invention are only preferred ways of implementing the invention, and that all obvious modifications, which are within the scope of the invention, are all included in the present general inventive concept.
Claims (9)
1. A security assessment system for outdoor sporting activities, comprising: the system comprises an outdoor environment data analysis unit, a crowd abnormal behavior detection unit, a motion information acquisition unit, a safety level judgment unit and an alarm monitoring unit;
the outdoor environment data analysis unit is used for acquiring and analyzing outdoor sport environment data, the outdoor environment data analysis unit comprises a meteorological data acquisition module, a data preprocessing module and a data analysis and arrangement module, the meteorological data acquisition module is used for acquiring environmental temperature and humidity, carbon dioxide concentration, PM2.5 concentration, illuminance and climate data information for multiple times, the data preprocessing module is used for carrying out data uniform analysis and frequency domain filtering preprocessing on the data information to obtain meteorological parameter data with uniform format, and the data analysis and arrangement module is used for analyzing and arranging the preprocessed meteorological data to output effective data;
the crowd abnormal behavior detection unit is used for detecting whether abnormal behaviors such as fighting and trampling occur to students in sports, and comprises a motion video acquisition module, an abnormal behavior identification module and an identification result correction output module, wherein the motion video acquisition module, the abnormal behavior identification module and the identification result correction output module are sequentially connected;
the sports information acquisition unit is used for acquiring physical sign information and sports state information of students performing special outdoor sports, and comprises a wearable detection device and a monitoring information transfer module;
the safety grade judging unit is used for receiving detection data sent by the outdoor environment data analyzing unit, the crowd abnormal behavior detecting unit and the motion information acquiring unit and judging a safety grade according to the detection data and set grade parameter data, and the safety grade judging unit comprises a parameter storage module, an information classification cache module, an inquiry comparing module and a user changing module;
the alarm monitoring unit is used for monitoring and managing safety influence factors and giving a safety alarm, and comprises a data input module, an intelligent alarm module, a historical safety factor analysis module and a data query and derivation module, wherein the data input module is used for receiving a safety grade judgment result and analyzing whether the judgment result reaches an alarm grade or not, when the judgment result reaches the alarm grade, the intelligent alarm module is triggered to give an alarm, and the historical safety factor analysis module is used for storing historical detection data, periodically analyzing the safety influence weight of the historical detection data and forming an analysis report.
2. The security assessment system for outdoor sports activities according to claim 1, wherein the user can select different assessment modes to perform targeted loop monitoring on different detection data through the user modification module, wherein the assessment modes comprise a first assessment state and a second assessment state, the first assessment state can shield any at least one data input of environment data, crowd abnormal behavior detection data or sports information, and the second assessment state can allow the environment data, the crowd abnormal behavior detection data and the sports information to be input completely.
3. The security assessment system for outdoor sports activities of claim 1, wherein said weather data acquisition module comprises a hand-held weather acquisition device, said hand-held weather acquisition device comprising a liquid crystal display, a plurality of sensor interface modules, a menu button selection module and a controller module, said liquid crystal display, said plurality of sensor interface modules and said menu button selection module being connected to said controller module, said controller module being configured to acquire sensing information from said plurality of sensor interface modules according to an operational mode selected by a user through said menu button selection module, said operational mode comprising a manual mode and an automatic mode.
4. The system of claim 1, wherein the data analysis and interpretation module receives a plurality of pre-processed weather data values and uses the plurality of received weather data values to calculate the effective data for each weather value using a weighted average.
5. The system of claim 1, wherein the motion video capturing module comprises a plurality of dome cameras with pan/tilt heads, the motion video capturing module sends the captured real-time video images to the abnormal behavior recognition module, the abnormal behavior recognition module preprocesses the video image frames and extracts the crowd characteristic information to recognize the crowd behavior, and the recognition result correction output module corrects the recognition result and outputs the recognition result to the safety level determination unit.
6. The system of claim 5, wherein the abnormal behavior recognition module comprises: firstly, acquiring a preprocessed video frame, and calculating the speed, the acceleration, the direction and the energy value of the crowd movement according to the change of an optical flow field of the crowd movement; then, weighting and fusing the obtained features to form a comprehensive optical flow transient feature descriptor; obtaining a crowd motion track single-frame image by using a KLT tracking algorithm, and extracting the crowd motion track on the basis of the single-frame original image to represent the crowd behavior persistence characteristics; and (3) shunting the extracted instantaneous and continuous characteristics of the abnormal crowd movement into a double-current convolutional neural network TS-CNN, adding a fusion layer after the convolutional layer to form complete space-time characterization, and finally outputting a crowd abnormal behavior detection result through a classifier.
7. The safety evaluation system for outdoor sports activities according to claim 1, wherein the wearable detection device is used for detecting real-time exercise status of students, the monitoring information transfer module is used for sending detection status information to the safety level determination unit, the wearable detection device comprises a pulse detection wristwatch and a sports vest, the pulse detection wristwatch is used for detecting heartbeat change during exercise, a collision detection sensor, an angle sensor, a temperature sensor and a wireless transmission module are arranged in an interlayer of the sports vest, and the collision detection sensor, the angle sensor and the temperature sensor are connected with the wireless transmission module through flexible shielding wires.
8. The safety assessment system for outdoor sports activities according to claim 1, the parameter storage module is used for storing safety influence factor parameter threshold value data set by a user, the parameter storage module comprises a rule base storage module and a parameter association list, the parameter association list is used for associating the different security levels with the parameter thresholds of different ranges according to the set rules in the rule base, the information classification cache module is used for classifying and caching the detection data and sending cache information to the query comparison module according to the time stamp sequence, the query comparison module is used for comparing the received cache information with the set grade parameter data to obtain a safety grade and sending the comparison result to the alarm monitoring unit, and the user change module is used for setting the corresponding parameter value of each grade by a user.
9. The system of claim 1, wherein the alarm monitoring unit further comprises a permission authentication module, the permission authentication module is used for verifying the operation permission when the user performs the data query change through the data query derivation module, the permission authentication module comprises a login module, a joint verification request module and a verification feedback module, when the user logs in the login module and immediately triggers a joint verification request, the joint verification request module sends the joint verification request to each verification terminal, the verification feedback module is used for receiving feedback information of each verification terminal and comparing the feedback information with a set verification condition, if the feedback information is the same as the set verification request, the verification is successful, otherwise, the user is reminded that the verification error cannot be performed for the next operation.
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| CN113642526A (en) * | 2021-09-03 | 2021-11-12 | 江阴市浩华新型复合材料有限公司 | Picture processing system and method based on computer control |
| CN113892928A (en) * | 2021-10-14 | 2022-01-07 | 首都体育学院 | Body-building behavior monitoring system based on Beidou positioning and narrowband Internet of things |
| CN114766756A (en) * | 2022-04-22 | 2022-07-22 | 广东职业技术学院 | Pronunciation electrical apparatus control system based on clothing is dressed to intelligence |
| CN115471139A (en) * | 2022-10-31 | 2022-12-13 | 北京奥邦体育赛事评估有限责任公司 | Large-scale crowd sports event comprehensive evaluation system based on image recognition technology |
| CN115471139B (en) * | 2022-10-31 | 2023-02-10 | 北京奥邦体育赛事评估有限责任公司 | Large-scale crowd sports event comprehensive evaluation system based on image recognition technology |
| CN117831714A (en) * | 2024-02-27 | 2024-04-05 | 小时教育科技(福建)有限公司 | Exercise data monitoring auxiliary method and system based on AI |
| CN117831714B (en) * | 2024-02-27 | 2024-04-26 | 小时教育科技(福建)有限公司 | Exercise data monitoring auxiliary method and system based on AI |
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