阅读说明：本技术 一种基于人工智能的疲劳程度检测系统 (Fatigue degree detecting system based on artificial intelligence ) 是由 赵峰 于 2020-07-09 设计创作，主要内容包括：本发明公开了一种基于人工智能的疲劳程度检测系统,涉及疲劳程度检测技术领域。包括信息采集模块、中央服务器、存储模块、报警模块、疲劳预警模块以及移动客户端,信息采集模块通过通信模块双向电连接有中央服务器,中央服务器通过4G通信模块双向电连接有移动客户端,中央服务器与存储模块、报警模块以及疲劳预警模块之间电连接。通过信息采集模块采集血脉信息、人脸图像信息、呼吸频率信息以及语音对话语速等信息,并将采集的信息传输给中央服务器中数据处理模块中,与预先存储正常状态下进行核对,从而判断是否疲劳,多种信息获取比对,利于获取准确的结果,实现了对人员疲劳程度的准确检测,避免发生事故,及时进行疲劳预警提示。(The invention discloses a fatigue degree detection system based on artificial intelligence, and relates to the technical field of fatigue degree detection. The fatigue early warning system comprises an information acquisition module, a central server, a storage module, an alarm module, a fatigue early warning module and a mobile client, wherein the information acquisition module is electrically connected with the central server through a communication module in a bidirectional mode, the central server is electrically connected with the mobile client through a 4G communication module in a bidirectional mode, and the central server is electrically connected with the storage module, the alarm module and the fatigue early warning module. Blood vessel information, face image information, respiratory frequency information, voice conversation speed and other information are collected through the information collection module, the collected information is transmitted to the data processing module in the central server and is checked with the prestored normal state, whether fatigue exists is judged, various information is obtained and compared, accurate results are obtained, accurate detection of fatigue degree of a person is achieved, accidents are avoided, and fatigue early warning prompt is timely carried out.)

1. A fatigue degree detection system based on artificial intelligence comprises an information acquisition module, a central server, a storage module, an alarm module, a fatigue early warning module and a mobile client, and is characterized in that the information acquisition module is electrically connected with the central server in a bidirectional mode through a communication module, the central server is electrically connected with the mobile client in a bidirectional mode through a 4G communication module, and the central server is electrically connected with the storage module, the alarm module and the fatigue early warning module;

the information acquisition module comprises a blood vessel detection acquisition unit, a face image shooting acquisition unit, a respiratory frequency detection acquisition unit and a voice information detection acquisition unit;

the blood vessel detection and acquisition unit is mainly used for acquiring blood vessel activity information through the heart activity sensor, and the acquired blood vessel activity information is transmitted to the central server through the communication module;

the human face image shooting and collecting unit is mainly used for collecting human face image information through a camera, and the collected human face image information is transmitted to the central server through the communication module;

the respiratory frequency detection and acquisition unit is mainly used for acquiring respiratory information through a respiratory sensor, and the acquired respiratory information is transmitted to a central server through a communication module;

the voice information detection and acquisition unit is mainly used for acquiring voice information through a microphone and a loudspeaker, and the acquired voice information is transmitted to the central server through the communication module.

2. The system of claim 1, wherein the blood vessel detecting and collecting unit collects blood vessel data information to determine fatigue through blood vessel data changes, the facial image capturing and collecting unit collects images through a camera, the image information includes eye closure degree, sight line direction and facial expression, and fatigue is detected through facial expression.

3. The system of claim 1, wherein the respiratory rate detection and collection unit is configured to perform respiration information within a predetermined time mainly through a respiration sensor, and determine fatigue through the respiration information, and the voice information detection and collection unit is configured to determine fatigue through a voice conversation with a user.

4. The system of claim 1, wherein the central server comprises a controller, a data processing module and a timing module, the controller is FX5U-32MT/ES, and the data processing module stores blood vessel information, facial expression, respiratory rate information and voice information of a person in a normal state within a predetermined time in advance.

5. The system according to claim 4, wherein the data processing module receives the fatigue characteristic data collected by the information collection module, and checks the fatigue characteristic data detected by the information collection module with pre-stored fatigue judgment standard data to judge whether fatigue is present, and the timing module is used for timing and collecting fatigue information within a predetermined time.

6. The system of claim 1, wherein the fatigue warning module comprises a sound player and a voice player, and the manner of the fatigue warning module performing the wake-up operation according to the instruction of the central server comprises at least one of the following: and playing a wake-up sound wave through the sound wave player, wherein the wake-up sound wave comprises 1000-2000Hz, or releasing the pre-selected music through the voice player.

7. The system of claim 1, wherein the communication module comprises one or a combination of any more of a GSM unit, a CDMA unit, a WCDMA unit, a CDMA2000 unit, a TD-SCDMA unit, a satellite communication network unit, and a WI-FI unit.

8. The artificial intelligence based fatigue degree detection system according to claim 1, wherein the alarm module uses a buzzer for alarming, and the type of the buzzer is ND16-22FS, and the storage module is used for storing the fatigue information collected in the information collection module.

Technical Field

The invention relates to the technical field of fatigue degree detection, in particular to a fatigue degree detection system based on artificial intelligence.

Background

Fatigue is not a disease, normal people occasionally feel fatigue, but if fatigue is caused for a long time, the fatigue can become chronic fatigue and cannot wait for a casualty, and the long-term failure can cause the crisis of myocardial infarction, stroke and even overwork death; meanwhile, the daily life and work are affected by serious fatigue, interpersonal relationship is lowered, the fatigue monitoring is a real reflection of the tense life state of modern people, and the number of attack people is increasing year by year in the world. Fatigue monitoring can test fatigue of people, and scientific assessment is the health state every day, is a very practical cell-phone software, and at present, along with the improvement of people's living standard, the resident begins to cared about self living environment, from air, drinking water to daily action, has all obtained people's attention, especially along with the suggestion of these years sub-health concepts, people's degree of concern to work and life is more and more high, and in addition, some posts are concerned with life and important property safety, need the staff on post to keep highly clear-headed and attention-focused state constantly.

Whether the daily work and life or the monitoring of important posts, the detection of the fatigue degree is very important information which is necessary to be monitored in real time, the traditional detection means is implemented by artificial data statistics, the means is relatively backward and difficult to be effectively counted, and the artificial intelligence is widely applied along with the continuous development of social economy.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a fatigue degree detection system based on artificial intelligence, which aims to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme: a fatigue degree detection system based on artificial intelligence comprises an information acquisition module, a central server, a storage module, an alarm module, a fatigue early warning module and a mobile client, wherein the information acquisition module is electrically connected with the central server in a bidirectional mode through a communication module;

the information acquisition module comprises a blood vessel detection acquisition unit, a face image shooting acquisition unit, a respiratory frequency detection acquisition unit and a voice information detection acquisition unit;

the blood vessel detection and acquisition unit is mainly used for acquiring blood vessel activity information through the heart activity sensor, and the acquired blood vessel activity information is transmitted to the central server through the communication module;

the human face image shooting and collecting unit is mainly used for collecting human face image information through a camera, and the collected human face image information is transmitted to the central server through the communication module;

the respiratory frequency detection and acquisition unit is mainly used for acquiring respiratory information through a respiratory sensor, and the acquired respiratory information is transmitted to a central server through a communication module;

the voice information detection and acquisition unit is mainly used for acquiring voice information through a microphone and a loudspeaker, and the acquired voice information is transmitted to the central server through the communication module.

Further optimize this technical scheme, blood vessel detection and collection unit gathers blood vessel data information, judges whether tired through blood vessel data change, facial image collection unit of making a video recording carries out image acquisition through the camera, and its image information includes eyes closure degree and sight direction and facial expression, detects whether tired through facial expression.

Further optimize this technical scheme, respiratory frequency detects the collection unit and mainly carries out respiratory information in the regulation time through respiratory sensor, judges whether tired through respiratory information, voice information detects the collection unit and is used for judging whether tired through talking with user's pronunciation.

Further optimizing the technical scheme, the central server comprises a controller, a data processing module and a timing module, wherein the model of the controller is FX5U-32MT/ES, and the data processing module stores blood vessel information, facial expressions, respiratory frequency information and voice information of a person in a normal state within a specified time in advance.

According to the technical scheme, the data processing module receives the fatigue characteristic data acquired by the information acquisition module, the fatigue characteristic data of the information acquisition module detection personnel is checked with the prestored fatigue judgment standard data, so that whether fatigue occurs is judged, the timing module is used for timing, and fatigue information acquisition is carried out within a set time.

Further optimizing the technical scheme, the fatigue early warning module comprises a sound wave player and a voice player, and the mode of the fatigue early warning module executing the awakening operation according to the instruction of the central server comprises at least one of the following modes: and playing a wake-up sound wave through the sound wave player, wherein the wake-up sound wave comprises 1000-2000Hz, or releasing the pre-selected music through the voice player.

Further optimizing the technical scheme, the communication module comprises one or the combination of any more of a global system for mobile communication network GSM unit, a code division multiple access network CDMA unit, a wideband code division multiple access network WCDMA unit, a code division multiple access network CDMA2000 unit, a time division synchronous code division multiple access communication network TD-SCDMA unit, a satellite communication network unit and a wireless internet WI-FI communication unit.

Further optimizing the technical scheme, the alarm module adopts a buzzer for alarming, the type of the buzzer is ND16-22FS, and the storage module is used for storing the fatigue information collected in the information collection module.

Compared with the prior art, the invention provides a fatigue degree detection system based on artificial intelligence, which has the following beneficial effects:

this fatigue degree detecting system based on artificial intelligence, gather blood vessel information through information acquisition module, face image information, information such as respiratory frequency information and speech dialogue speech rate, and in data processing module in the information transmission for central server with gathering, check under the normal condition with prestore, thereby judge whether tired, multiple information acquisition compares, do benefit to and acquire accurate result, realized the accurate detection to personnel's fatigue degree, avoid taking place the accident on the specific post, carry out fatigue early warning suggestion through fatigue early warning module simultaneously, the personnel of in time reminding the fatigue operation resume clear-headed work, can reach the purpose of steady safety in production.

Drawings

FIG. 1 is a system diagram of a fatigue level detection system based on artificial intelligence according to the present invention;

fig. 2 is a schematic diagram of a system module of a fatigue degree detection system based on artificial intelligence 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 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. 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.