CN112447013A - Intelligent face tracking recognition device for multi-person medicine taking - Google Patents
Intelligent face tracking recognition device for multi-person medicine taking Download PDFInfo
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- CN112447013A CN112447013A CN202011265516.0A CN202011265516A CN112447013A CN 112447013 A CN112447013 A CN 112447013A CN 202011265516 A CN202011265516 A CN 202011265516A CN 112447013 A CN112447013 A CN 112447013A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- Oral & Maxillofacial Surgery (AREA)
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Abstract
The invention discloses a human face tracking intelligent recognition device for multi-person medicine taking, which comprises a device main body and a processing center arranged in the device main body, wherein a human face recognition display screen and a human face recognition bipolar lens are arranged on the device main body, the human face recognition bipolar lens and the human face recognition display screen are both connected with the processing center and controlled by the processing center, human face data of authorized persons are stored in a storage database, a control module is connected with an intelligent lock structure of medicine storage equipment, a recognition module is connected with the human face recognition bipolar lens, and an analysis module is connected with the recognition module. According to the invention, the face tracking intelligent recognition device is arranged on the intelligent medicine storing and taking cabinet, integrates the functions of high-resolution night vision infrared and color double cameras, can capture high-quality face pictures, realizes quick identification, realizes non-contact authentication login, is convenient and efficient, avoids the possibility of contact cross infection, is more sanitary, and meets the requirements of hospitals.
Description
Technical Field
The invention relates to the technical field of medicine storage equipment, in particular to a human face tracking intelligent recognition device for taking medicines by multiple persons.
Background
The hospital information system is an information system which utilizes the modernized means of computer software and hardware technology, network communication technology and the like to comprehensively manage the people flow, logistics and financial flow of the hospital and all the departments to which the hospital belongs, and collects, stores, processes, extracts, transmits, summarizes and processes the data generated in all the stages of medical activities to generate various information, thereby providing comprehensive and automatic management and various services for the integral operation of the hospital.
Due to the convenience of statistics and management, hospital information systems have started to be widely used in the field of medical care and health, and along with the development of intelligent technologies and intelligent devices, a variety of intelligent medical devices are gradually produced, including drug storage, taking and placing links. The traditional intelligent medicine cabinet mostly adopts the combination of a user name and a password to realize the authority login of the medicine cabinet, and part of the intelligent medicine cabinet utilizes the authority login modes such as RFID identification, fingerprint identification and the like, the login of the login modes is mostly in a contact type, and the problems of low login efficiency and low login speed exist.
The above disadvantages need to be improved.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a human face tracking intelligent recognition device for taking medicines by multiple people.
The technical scheme of the invention is as follows:
the utility model provides a many people get medicine's face tracking intelligent recognition device, includes the device main part and sets up the inside processing maincenter of device main part, be provided with face identification display screen and face identification bipolar lens in the device main part, face identification bipolar lens with the face identification display screen all with processing maincenter connects and receives processing maincenter's control, processing maincenter is including storage database, control module, identification module and analysis module, storage database stores authorized personnel's face data, control module connects the intelligent lock structure of medicine storage equipment, identification module connects face identification bipolar lens, analysis module connects identification module.
The intelligent face tracking recognition device for multi-person medicine taking is characterized in that the device body is further provided with a fingerprint recognition module, and the fingerprint recognition module is connected with the processing center.
The intelligent face tracking recognition device for multi-person medicine taking is characterized in that the device main body is further provided with an RFID recognition module, and the RFID recognition module is connected with the processing center.
The face recognition display screen is connected with the recognition module, a face automatic tracking capture frame is arranged on the face recognition display screen, images shot by the face recognition bipolar lens are transmitted to the face recognition display screen to be displayed after being calculated by the recognition module, and the shot face parts are placed in the face automatic tracking capture frame.
The intelligent face tracking recognition device for multi-person medicine taking is characterized in that an infrared light supplement lamp is arranged near the face recognition bipolar lens.
The intelligent face tracking recognition device for multi-person medicine taking comprises the following recognition processes:
s1, inputting authorized face data into the storage database and recording related face features;
s2, the face recognition bipolar lens shoots a face image and sends the face image to the recognition module, and the recognition module controls the face to realize automatic face tracking detection after calculation;
s3, the identification module sends the acquired face image to the analysis module, and the analysis module performs intelligent algorithm analysis;
s4, the identification module acquires analysis data of the analysis module and compares the analysis data with data in the storage database;
s5, obtaining a face recognition result;
and S6, processing the central hub authorization login.
Further, in step S3, the recognition module continuously receives the face image captured by the face recognition dipole lens, the recognition module sends the face image to the analysis module, the analysis module performs computation analysis such as splitting, simulation, and recombination on the received face image according to a built-in algorithm, and maps the face image according to the algorithm to form a feature vector of a face image sample set covariance matrix, and the analysis module continuously extracts and perfects the formed face image feature vector to form a complete face image function package.
Further, in step S4, the recognition module is provided with a preset threshold, the recognition module obtains a formed threshold by comparing the face data calculated by the analysis module with the face data in the storage database, and the recognition module compares the formed threshold with the preset threshold.
Further, in step S5, the recognition module determines whether the formation threshold is higher than a preset threshold, if so, the face recognition is successful, and if not, the face recognition is failed.
Further, in step S6, the identification module sends the identification result to the control module, and the control module sends a control command to the intelligent lock structure after receiving the signal indicating that the identification is successful, and the intelligent lock structure is unlocked.
According to the scheme, the intelligent face tracking identification device is arranged on the intelligent medicine storing and taking cabinet, integrates the functions of high-resolution night vision infrared and color double cameras, can capture high-quality face pictures, realizes quick identification, realizes non-contact authentication login, is convenient and efficient, avoids the possibility of contact cross infection, is more sanitary, and meets the requirements of hospitals.
Compared with the face tracking intelligent recognition device on the existing intelligent medicine cabinet, the face tracking intelligent recognition device has the following advantages:
1. the human face recognition interface is visual, a human face image is captured through the face recognition bipolar lens and displayed on the face recognition display screen, meanwhile, the face automatic tracking capture frame is arranged on the face recognition display screen, the position of a fabric area is accurately positioned, the position of the human face can be positioned along with the change of the position of the human face, the human face recognition of the equipment is visual, an auxiliary user uses the equipment, and an actuating user is matched with the face recognition to accelerate the speed of the face recognition.
2. The near-infrared light supplementing lamp is arranged to support visible light and near-infrared light face collection, near-infrared light supplementing is used, and compared with white light supplementing, the image is brighter under the condition of low illumination, the face recognition image is clearer, and the recognition speed and the recognition rate are improved.
3. The processing center adopts a deep learning algorithm, acquires multi-person face data through a face recognition bipolar lens, performs multi-face intelligent analysis, can quickly recognize a login user, and quickly compares the login user with face data of authorized users in a storage database, wherein the success rate is up to more than 99.7%.
4. The device adopts a modularized built-in structure and a processing center, uses the USB to drive-free start, realizes plug and play, and is simple and convenient.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural diagram of the present invention.
Fig. 2 is a schematic flow chart of the face tracking intelligent recognition device performing face recognition and authorized login.
Wherein, in the figures, the respective reference numerals:
1. a device main body; 2. a face recognition bipolar lens; 3. an infrared light supplement lamp; 4. a fingerprint identification module; 5, an RFID identification module; 6. a face recognition display screen;
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that when an element is referred to as being "fixed" or "disposed" or "connected" to another element, it can be directly or indirectly located on the other element. The terms "upper", "lower", "left", "inner", etc. indicate orientations or positions based on the positions shown in the drawings, and are only for convenience of description and should not be construed as limiting the technical solution.
The utility model provides a many people get intelligent recognition device of face tracking who fills medicine, including device main part 1 and the processing maincenter of setting in device main part 1 inside, be provided with face identification display screen 6 and face identification bipolar lens 2 on the device main part 1, face identification bipolar lens 2 all are connected with the processing maincenter and receive the control of processing maincenter with face identification display screen 6, the processing maincenter is including storing the database, a control module, identification module and analysis module, store authorized personnel's face data in the storage database, control module connects the intelligent lock structure of medicine storage equipment, identification module connects face identification bipolar lens 2, analysis module connects identification module.
As shown in fig. 1, the device body 1 is preferably further provided with a fingerprint recognition module 4, and the fingerprint recognition module 4 is connected with the processing hub. The device is provided with a fingerprint identification module 4, which can be regarded as adding an unlocking way, login personnel can carry out authorization identification through the fingerprint identification module 4, and the fingerprint identification module 4 sends a control signal to a processing center after judging that authorization is successful, so as to control the intelligent lock to be unlocked; and a re-authorization gateway can be added, so that the login personnel needs to pass through two authorization ways of face identification and fingerprint identification, and the two modules send control commands for successful authorization to the processing center to unlock the intelligent lock. In the same way, preferably, the device main body 1 is further provided with an RFID identification module 5, the RFID identification module 5 is connected with the processing center, the RFID identification module 5 can also be used as an additional unlocking way, and can also be used as a third authorization requirement of the intelligent lock, and the face identification module, the fingerprint identification module 4 and the RFID identification module 5 need to send an authorization success command to the control center together, so as to unlock the intelligent lock.
As shown in fig. 1, a face recognition bipolar lens 2 is arranged at the upper left corner of the face tracking intelligent recognition device, and infrared light supplement lamps 3 are arranged at both ends of the feet of the face recognition bipolar lens. The double cameras can capture a wider visual angle range and can also track and shoot different faces, and the face recognition modules of the face tracking intelligent recognition device can respectively control different cameras to focus different head images so as to acquire clearer face image information and facilitate comparison with face features in a face database. Simultaneously, set up infrared light filling lamp 3 around the face camera, this infrared light filling lamp 3 is near-infrared light filling lamp, can play fine light filling effect, contrast white light filling lamp, make the camera catch more light, improve the luminance of face identification image, it is clearer, obvious with the fuzzy dark part video picture ground on the face, play the effect of complementing the light source, make the face identification image who presents more clear, the details is more sufficient, be favorable to discerning the characteristic on the face, improve the speed and the reliability that the face was discerned.
Face tracking intelligent recognition device is provided with face identification display screen 6, show face automatic tracking on the face identification display screen 6 and catch the frame, face image is caught to face identification bipolar lens 2, face image is judged according to the face image of catching to face tracking intelligent recognition device's recognition module, according to the face characteristic facial position of judging, catch frame location this department with face automatic tracking, and start the stickness and track, calculate through recognition module high-efficiently, realize face identification and face tracking simultaneously.
As shown in fig. 2, the process of face tracking intelligent recognition device performing face recognition and authorizing login is as follows:
and S1, inputting authorized face data and recording related face features. Before the face tracking intelligent recognition device is used, face data of authorized personnel is adopted, the face recognition bipolar lens 2 is used for carrying out fixed-point data acquisition on the authorized personnel, or an external intelligent terminal is adopted to introduce the face data, and the face data is stored in a storage database. The analysis module carries out face feature acquisition on the imported face data, cuts the face, extracts face features and stores the face features in a storage database.
And S2, automatically tracking and detecting the human face. The face recognition bipolar lens 2 on the face tracking intelligent recognition device shoots, images shot by the face recognition bipolar lens 2 are displayed on the face recognition display screen 6 and are transmitted to the processing center, the recognition module of the processing center receives the images transmitted by the face recognition bipolar lens 2, the face position is recognized through calculation of a built-in algorithm, and the processing center starts the face automatic tracking capture frame immediately to perform face tracking and positioning.
And S3, intelligent algorithm analysis. The recognition module of the processing center continuously receives recognized face images and sends the face images to the analysis module, the analysis module carries out calculation analysis such as splitting, simulation and recombination on the received face images according to a built-in algorithm, the face images are mapped according to the algorithm to form feature vectors of a face image sample set covariance matrix, images with different frame numbers are taken, the formed face image feature vectors are continuously extracted and perfected, and a face image function packet is formed.
And S4, comparing the face database. The recognition module compares the feature vector data packet formed by the captured face image with the face database formed in the storage database one by one to form different threshold values.
And S5, recognizing a face. The recognition module is provided with a preset threshold value, a feature vector data packet formed by the face image is compared with any data packet in the face database to form a threshold value, the threshold value is compared with the preset threshold value, whether the formed threshold value is higher than the preset threshold value or not is judged, if the formed threshold value higher than the preset threshold value exists, face recognition is successful, and if the formed threshold value is not higher than the preset threshold value, face recognition is failed.
And S6, authorizing login. In step S5, if there is a forming threshold higher than the preset threshold, the face recognition is successful, and the recognition module sends the recognition result to the control module of the processing center. After the control module receives the identification success signal, a control command is sent to the intelligent lock of the medicine cabinet, so that a user can obtain the control right of the intelligent medicine cabinet, and therefore the user can send a plurality of control information to the intelligent medicine cabinet through the control end of the medicine cabinet to perform the operation of taking and placing medicines.
In one embodiment, the technical parameters of the intelligent face tracking recognition device are as follows:
| technical parameters | Parameter value | Remarks for note |
| Power input | DV5V | USB power supply |
| Power consumption | 2.5W(max) | |
| Pixel | 1920*1080 | |
| Light supplement mode | Infrared light supplement | |
| Communication method | USB communication | |
| Size of | 70mm*22mm*10.5mm |
According to the invention, the face tracking intelligent recognition device is arranged on the intelligent medicine storing and taking cabinet, integrates the functions of high-resolution night vision infrared and color double cameras, can capture high-quality face pictures, realizes quick identification, realizes non-contact authentication login, is convenient and efficient, avoids the possibility of contact cross infection, is more sanitary, and meets the requirements of hospitals.
Compared with the face tracking intelligent recognition device on the existing intelligent medicine cabinet, the face tracking intelligent recognition device has the following advantages:
1. the human face recognition interface is visual, a human face image is captured through the human face recognition bipolar lens 2 and displayed on the human face recognition display screen 6, meanwhile, a human face automatic tracking capture frame is arranged on the human face recognition display screen, the position of a fabric area is accurately positioned, the human face position can be positioned along with the change of the human face position, the human face recognition of equipment is visual, an auxiliary user uses the human face recognition interface, and an actuating user is matched with the human face recognition interface to accelerate the speed of the human face recognition.
2. The near-infrared light supplementing lamp is arranged to support visible light and near-infrared light face collection, near-infrared light supplementing is used, and compared with white light supplementing, the image is brighter under the condition of low illumination, the face recognition image is clearer, and the recognition speed and the recognition rate are improved.
3. The processing center adopts a deep learning algorithm, acquires the multi-person face data through the face recognition bipolar lens 2, performs multi-face intelligent analysis, can quickly recognize the login user, and quickly compares the login user with the face data of the authorized user in the storage database, and the success rate is as high as more than 99.7%.
4. The device adopts a modularized built-in structure and a processing center, uses the USB to drive-free start, realizes plug and play, and is simple and convenient.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The intelligent face tracking recognition device is characterized by comprising a device body and a processing center arranged in the device body, wherein a face recognition display screen and a face recognition bipolar lens are arranged on the device body, the face recognition bipolar lens and the face recognition display screen are connected with the processing center and controlled by the processing center, the processing center comprises a storage database, a control module, a recognition module and an analysis module, face data of authorized personnel are stored in the storage database, the control module is connected with an intelligent lock structure of medicine storage equipment, the recognition module is connected with the face recognition bipolar lens, and the analysis module is connected with the recognition module.
2. The intelligent face tracking recognition device for multiple person taking medicine according to claim 1, wherein the device body is further provided with a fingerprint recognition module, and the fingerprint recognition module is connected with the processing hub.
3. The intelligent face tracking recognition device for multi-person medicine taking as defined in claim 1, wherein the device body is further provided with an RFID recognition module, and the RFID recognition module is connected with the processing hub.
4. The intelligent face tracking recognition device for multi-person medicine taking as defined in claim 1, wherein the face recognition display screen is connected to the recognition module, the face recognition display screen is provided with a face auto-tracking capture frame, the image captured by the face recognition dipole lens is calculated by the recognition module and then transmitted to the face recognition display screen for display, and the captured face portion is placed in the face auto-tracking capture frame.
5. The intelligent face tracking recognition device for multi-person medicine taking as defined in claim 1, wherein an infrared fill light is provided near the face recognition dipole lens.
6. The intelligent face tracking recognition device for multi-person medicine taking as claimed in claim 1, wherein the recognition process of the intelligent face tracking recognition device is as follows:
s1, inputting authorized face data into the storage database and recording related face features;
s2, the face recognition bipolar lens shoots a face image and sends the face image to the recognition module, and the recognition module controls the face to realize automatic face tracking detection after calculation;
s3, the identification module sends the acquired face image to the analysis module, and the analysis module performs intelligent algorithm analysis;
s4, the identification module acquires analysis data of the analysis module and compares the analysis data with data in the storage database;
s5, obtaining a face recognition result;
and S6, processing the central hub authorization login.
7. The intelligent human face tracking recognition device for multi-person medicine taking as defined in claim 6, wherein in step S3, the recognition module continuously receives the human face images captured by the bipolar lens for human face recognition, the recognition module sends the human face images to the analysis module, the analysis module performs computation analysis such as splitting, simulation, and recombination on the received human face images according to a built-in algorithm, maps the human face images according to the algorithm to form feature vectors of covariance matrix of a human face image sample set, and the analysis module continuously extracts and perfects the formed feature vectors of the human face images to form a complete human face image function package.
8. The intelligent recognition device for face tracking of multi-person medicine taking as claimed in claim 6, wherein in step S4, the recognition module is provided with a preset threshold, the recognition module obtains a formed threshold by comparing the face data calculated by the analysis module with the face data in the storage database, and the recognition module compares the formed threshold with the preset threshold.
9. The intelligent face tracking recognition device for multiple person medicine taking according to claim 6, wherein in step S5, the recognition module determines whether the formation threshold is higher than a preset threshold, if so, the face recognition is successful, and if not, the face recognition is failed.
10. The intelligent human face tracking recognition device for multi-person medicine taking as claimed in claim 6, wherein in step S6, the recognition module sends the recognition result to the control module, and the control module sends a control command to the intelligent lock structure after receiving the signal of successful recognition, so that the intelligent lock structure is unlocked.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102857695A (en) * | 2012-08-06 | 2013-01-02 | 上海中和软件有限公司 | Single-camera automatic face tracking system and working method |
| CN105844247A (en) * | 2016-03-25 | 2016-08-10 | 杭州信鸽金融信息服务股份有限公司 | Bi-camera cabinet machine and face recognition and second-generation ID card identification system |
| CN105844246A (en) * | 2016-03-25 | 2016-08-10 | 杭州信鸽金融信息服务股份有限公司 | Face recognition and second-generation ID card identification system with single camera cabinet machine |
| CN105872363A (en) * | 2016-03-28 | 2016-08-17 | 广东欧珀移动通信有限公司 | Adjustingmethod and adjusting device of human face focusing definition |
| CN105868574A (en) * | 2016-04-25 | 2016-08-17 | 南京大学 | Human face tracking optimization method for camera and intelligent health monitoring system based on videos |
| CN107423690A (en) * | 2017-06-26 | 2017-12-01 | 广东工业大学 | A kind of face identification method and device |
| CN207198584U (en) * | 2017-06-28 | 2018-04-06 | 广州强固智能科技有限公司 | Intelligent cabinet |
| CN108256406A (en) * | 2017-01-05 | 2018-07-06 | 广州市晶密电子有限公司 | It is a kind of that the data processing method of face recognition and its device are realized by eyes orientation direction |
| CN207941044U (en) * | 2017-05-26 | 2018-10-09 | 深圳市南山区慢性病防治院 | Intelligent medicine box |
| CN108903370A (en) * | 2018-05-30 | 2018-11-30 | 江苏德品家具集团有限公司 | Recognition of face intelligence medical cupboard |
| WO2019051665A1 (en) * | 2017-09-13 | 2019-03-21 | 深圳传音通讯有限公司 | Start control method and start control system for smart terminal |
| CN210377675U (en) * | 2019-10-18 | 2020-04-21 | 北京云量互动科技有限公司 | Intelligent medicine cabinet |
| CN111383396A (en) * | 2020-04-14 | 2020-07-07 | 上海市第五人民医院 | Intelligent medicine box receiving and dispatching system |
-
2020
- 2020-11-13 CN CN202011265516.0A patent/CN112447013A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102857695A (en) * | 2012-08-06 | 2013-01-02 | 上海中和软件有限公司 | Single-camera automatic face tracking system and working method |
| CN105844247A (en) * | 2016-03-25 | 2016-08-10 | 杭州信鸽金融信息服务股份有限公司 | Bi-camera cabinet machine and face recognition and second-generation ID card identification system |
| CN105844246A (en) * | 2016-03-25 | 2016-08-10 | 杭州信鸽金融信息服务股份有限公司 | Face recognition and second-generation ID card identification system with single camera cabinet machine |
| CN105872363A (en) * | 2016-03-28 | 2016-08-17 | 广东欧珀移动通信有限公司 | Adjustingmethod and adjusting device of human face focusing definition |
| CN105868574A (en) * | 2016-04-25 | 2016-08-17 | 南京大学 | Human face tracking optimization method for camera and intelligent health monitoring system based on videos |
| CN108256406A (en) * | 2017-01-05 | 2018-07-06 | 广州市晶密电子有限公司 | It is a kind of that the data processing method of face recognition and its device are realized by eyes orientation direction |
| CN207941044U (en) * | 2017-05-26 | 2018-10-09 | 深圳市南山区慢性病防治院 | Intelligent medicine box |
| CN107423690A (en) * | 2017-06-26 | 2017-12-01 | 广东工业大学 | A kind of face identification method and device |
| CN207198584U (en) * | 2017-06-28 | 2018-04-06 | 广州强固智能科技有限公司 | Intelligent cabinet |
| WO2019051665A1 (en) * | 2017-09-13 | 2019-03-21 | 深圳传音通讯有限公司 | Start control method and start control system for smart terminal |
| CN108903370A (en) * | 2018-05-30 | 2018-11-30 | 江苏德品家具集团有限公司 | Recognition of face intelligence medical cupboard |
| CN210377675U (en) * | 2019-10-18 | 2020-04-21 | 北京云量互动科技有限公司 | Intelligent medicine cabinet |
| CN111383396A (en) * | 2020-04-14 | 2020-07-07 | 上海市第五人民医院 | Intelligent medicine box receiving and dispatching system |
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