CN104027193A - Horizontal cervical vertebra tractor with facial recognition function - Google Patents
Horizontal cervical vertebra tractor with facial recognition function Download PDFInfo
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- CN104027193A CN104027193A CN201410270901.2A CN201410270901A CN104027193A CN 104027193 A CN104027193 A CN 104027193A CN 201410270901 A CN201410270901 A CN 201410270901A CN 104027193 A CN104027193 A CN 104027193A
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- air pump
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Abstract
The invention belongs to the technical field of medical equipment, and provides a horizontal cervical vertebra tractor with a facial recognition function. On the basis of an existing horizontal cervical vertebra tractor, a computer and a facial recognition mechanism fixedly connected to the upper portion of a physiotherapy couch are added, and the computer is provided with an image processing module, a facial recognition module, a database access module and an electromechanical control module. The facial recognition module, a traction cylinder of a traction mechanism in the cervical vertebra tractor, an air pump of a head and neck support mechanism, a motor of a main platform rotating mechanism, a first air pump outlet pressure sensor in a first detector, a second air pump outlet pressure sensor, a third air pump outlet pressure sensor and a fourth air pump outlet pressure sensor are all controlled by the computer. By the horizontal cervical vertebra tractor, the face of a patient can be shot and recognized automatically, then recorded data parameters of the patient can be invoked from a database, automatic control is performed in the whole treatment process, medical staff can be prevented from performing diagnosis and parameter setting again, treatment is quicker and more convenient, and working efficiency of the medical staff is improved.
Description
Technical field
The invention belongs to armarium technical field, be specifically related to a kind of horizontal cervical-vertebra traction machine with face recognition function.
Background technology
Traditional cervical traction bed needs medical personnel equipment to be carried out to the adjusting of parameter before patient uses, patient for the treatment of often coming, the parameter of every secondary device is basically identical, medical personnel will input a series of data and lose time very much before each treatment, especially when patient is many, can greatly reduce the efficiency for the treatment of.
Summary of the invention
The object of this invention is to provide a kind of horizontal cervical-vertebra traction machine with face recognition function, this cervical-vertebra traction machine is in dorsal position, after patient lies low and fixes incidence, the control panel of facial recognition mechanism is moved to directly over face, the mug shot of taking by photographic head and the mug shot in data base are compared, make cervical-vertebra traction machine automatically be written into patient's physiological data and adjust patient's neck location, the object that realizes intellectualized operation and save treatment time and doctor's energy.
The present invention is comprised of physiotherapy bed 1, cervical vertebra tractor A, and wherein physiotherapy bed 1 is relative with ground fixing, and in cervical vertebra tractor A, the driven gear wheel 28 of main platform rotating mechanism A3 is fixed in main platform 6 bottoms; The motor 30 of main platform rotating mechanism A3 is fixed in main platform 6 bottoms through metal baffle I 2; The pneumatic die cushion platform 25 of head and neck supporting mechanism A2 is fixed in main platform 6 tops; The neck support air bag 26 of head and neck supporting mechanism A2 is fixed in main platform 6 tops through air-bag base 27; Air pump 4 is connected with the traction cylinder 10 of haulage gear A1 through trachea I 9 flatly; 4 two mouthfuls of air pumps are connected with the inflation pneumatic die cushion I 7 of head and neck supporting mechanism A2 through trachea II 24; 4 three mouthfuls of air pumps are connected with the inflation pneumatic die cushion II 8 of head and neck supporting mechanism A2 through trachea III 23; Air pump 4 four-holes are connected with the neck support air bag 26 of head and neck supporting mechanism A2 through trachea IV 22; Air pump 4 is affixed with main platform 6 through metal baffle II 3 and metal baffle III 5; In checkout gear A4, air pump outlet pressure sensor I 34, air pump outlet pressure sensor II 35, air pump outlet pressure sensor III 36, air pump outlet pressure sensor IV 37 are fixed in respectively air pump 33 and trachea I 17, trachea II 18, trachea III 19, trachea IV 20 junctions.
In the present invention, be provided with computer C, the physiotherapy bed 1 affixed facial recognition B of mechanism in top, the B of facial recognition mechanism is by base 44, main rotary support 43, support I 42, support II 40, panel rotary support 39, control panel 38, photographic head 51 and touch display screen 52 form, wherein base 44 is by bolt I 45, bolt II 48 is fixed on physiotherapy bed 1, main rotary support 43 is fixed on base 44 by bolt III 46, support I 42 root one end are hinged by axle I 47 and main rotary support 43, support I 42 other ends are hinged by axle II 41 and support II 40 one end, support II 40 other ends are hinged by axle III 49 and panel rotary support 39, panel rotary support 39 is affixed by bolt IV 50 and control panel 38, photographic head 51 is arranged on control panel 38 front upper, touch display screen 52 is arranged on control panel 38 fronts, computer C independently places, and computer C is provided with image processing module, facial recognition modules, data base access module and Electromechanical Control module, the air pump 4 of the traction cylinder 16 of haulage gear A1, head and neck supporting mechanism A2 in the B of facial recognition mechanism, cervical vertebra tractor A, the motor 30 of main platform rotating mechanism A3, the air pump outlet pressure sensor I 35 in checkout gear A4, air pump outlet pressure sensor II 34, the gentle pump discharge pressure sensor IV 32 of air pump outlet pressure sensor III 33 by computer C, control.
Described control panel 38 is provided with light compensating apparatus LED lamp 53, is arranged on photographic head 51 1 sides.
Technical scheme of the present invention is: mechanical actuating mechanism and intelligent control part, consist of; Wherein, mechanical actuating mechanism is comprised of physiotherapy bed 1, cervical vertebra tractor A, the B of facial recognition mechanism, and wherein physiotherapy bed 1 is relative with ground fixing, and cervical vertebra tractor A is fixed in physiotherapy bed 1, and the base 44 of the B of facial recognition mechanism is fixed on physiotherapy bed 1 top; Intelligent control part is comprised of image collecting device, image processing module, facial recognition modules, data base access module, Electromechanical Control module and all kinds sensor, and wherein image processing module, facial recognition modules, data base access module, Electromechanical Control module integration are in computer C.The described B of facial recognition mechanism is by base 44, main rotary support 43, support I 42, support II 40, panel rotary support 39, control panel 38, photographic head 51, touch display screen 52 forms, wherein base 44 is by bolt I 45, bolt II 48 is fixed on physiotherapy bed 1, main rotary support 43 is fixed on base 44 by bolt III 46, support I 42 root one end are hinged by axle I 47 and main rotary support 43, support I 42 other ends are hinged by axle II 41 and support II 40 one end, support II 40 other ends are hinged by axle III 49 and panel rotary support 39, panel rotary support 39 is affixed by bolt IV 50 and control panel 38, photographic head 51 is arranged on control panel 38 front upper, touch display screen 52 is arranged on control panel 38 fronts, described Electromechanical Control module by information in data base call and the action of traction apparatus actuator is controlled in the execution of program, described data base is for the identity information of store patient, and face image, treats data, described image collecting device is arranged on the inside of control panel 38, is connected with photographic head 51, for gathering patient's face image, and uploads to image processing module, described image processing module and facial recognition modules are used for analyzing patient's facial feature data, and compare with the characteristic in described data base, thereby transfer corresponding identity information and treatment data, described control panel 38 is provided with light compensating apparatus, is arranged on photographic head 51 1 sides, and described light compensating apparatus is LED lamp 53.
The invention has the beneficial effects as follows: the cervical-vertebra traction machine with facial recognition techniques that the present invention is designed, patient lie low in place after, guidance panel with photographic head and touch display screen is moved to directly over patient's face, photographic head automatic capturing face is also taken and identification work, then recall this patient from data base before, be recorded in interior data parameters, equipment reads treatment parameter automatically, thereby can avoid medical personnel's diagnosis again and parameter setting, make treatment more efficient and convenient, improve medical personnel's work efficiency.
Accompanying drawing explanation
Fig. 1 is the schematic appearance (axonometric drawing) with the horizontal cervical-vertebra traction machine of face recognition function
Fig. 2 is the schematic appearance (front view) with the horizontal cervical-vertebra traction machine of face recognition function
Fig. 3 is the front view of cervical vertebra tractor
Fig. 4 is the axis side view that waits of cervical vertebra tractor
Fig. 5 is the front view of haulage gear
Fig. 6 is the axis side view that waits of haulage gear
Fig. 7 is the structural representation of head and neck supporting mechanism
Fig. 8 is the position view of air pump outlet pressure sensor
Fig. 9 is for adopting the structure of the detecting device schematic diagram of non-contact displacement transducer
Figure 10 is for adopting the structure of the detecting device schematic diagram of tangent displacement sensor
Figure 11 is the structural representation of facial recognition mechanism
Figure 12 is the front view of facial recognition mechanism
Figure 13 is the upward view of facial recognition mechanism
Figure 14 is control system structured flowchart
Cervical traction apparatus including: a. A1, A2 traction institutions. The head and neck support institutions A3. The rotation mechanism A4. The main platform A5 detection device. The detection device 2 b. c. facial recognition institutions computer 1. 2. Physical therapy bed metal baffle Ⅰ 3. Metal baffle Ⅱ 4. Pump 5. Metallic damper Ⅲ 6. The main platform 7. 8. Main platform sliding rail inflatable air pillow Ⅰ 9. Inflatable air pillow Ⅱ 10. Tracheal Ⅰ 11. 12. Traction cylinder base 13. Pulley Ⅱ 14. 15. Stent pulley Ⅰ 16. Traction rope 17. Slide 18. The metal ring 19. 20. The tripod head fixed traction with 21. The jaw broadband 22. The tracheal Ⅳ 23. Tracheal Ⅲ 24. The tracheal Ⅱ 25. 26 air pillow platform. The neck support airbag 27 air base 28. The driven wheel 29 active pinion 30. Motor 31. 32. The motor base pump outlet pressure sensor Ⅳ 33. The pump outlet pressure sensor Ⅲ 34 pump outlet pressure sensor Ⅱ 35 pump outlet pressure sensor Ⅰ 36 hall displacement sensor with A 38 photoelectric encoder. The control panel. 39 panel rotary bearing the 40 stent Ⅱ 41. The shaft Ⅱ 42. The stent Ⅰ 43. The main rotating pedestal 44. 45. The base bolt Ⅰ 46. Bolt Ⅲ 47. The shaft Ⅰ 48. Bolt Ⅱ 49. The shaft Ⅲ 50. The bolt Ⅳ 51. The camera 52. 53. Touch screen LED lights
The specific embodiment
Embodiment
As shown in Figure 1 and Figure 2, a kind of horizontal cervical-vertebra traction machine with face recognition function, is comprised of mechanical actuating mechanism and intelligent control part; Wherein, mechanical actuating mechanism is comprised of physiotherapy bed 1, cervical vertebra tractor A, the B of facial recognition mechanism, and wherein physiotherapy bed 1 is relative with ground fixing, and cervical vertebra tractor A is fixed in physiotherapy bed 1, and the base 44 of the B of facial recognition mechanism is fixed on physiotherapy bed 1 top;
As shown in Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, in cervical vertebra tractor A, the head fixing traction belt 20 of haulage gear A1 is connected with pull rope 16 with quoit 17 through tripod 19, and pull rope 16 is affixed with traction cylinder 11 through the guiding of two pulleys; The pneumatic die cushion platform 25 of head and neck supporting mechanism A2 is fixed in main platform 6 tops; The neck support air bag 26 of head and neck supporting mechanism A2 is fixed in main platform 6 tops through air-bag base 27; The driven gear wheel 28 of main platform rotating mechanism A3 is fixed in main platform 6 bottoms; The motor 30 of main platform rotating mechanism A3 is fixed in main platform 6 bottoms through metal baffle I 2; Air pump 4 is connected with the traction cylinder 10 of haulage gear A1 through trachea I 9 flatly; 4 two mouthfuls of air pumps are connected with the inflation pneumatic die cushion I 7 of head and neck supporting mechanism A2 through trachea II 24; 4 three mouthfuls of air pumps are connected with the inflation pneumatic die cushion II 8 of head and neck supporting mechanism A2 through trachea III 23; Air pump 4 four-holes are connected with the neck support air bag 26 of head and neck supporting mechanism A2 through trachea IV 22; Air pump 4 is affixed with main platform 6 through metal baffle II 3 and metal baffle III 5.
As Fig. 8, Fig. 9, shown in Figure 10, various types of sensors comprise air pump outlet pressure sensor I 35, air pump outlet pressure sensor II 34, air pump outlet pressure sensor III 33, air pump outlet pressure sensor IV 32 and angular displacement sensor form, air pump outlet pressure sensor I 35 wherein, air pump outlet pressure sensor II 34, air pump outlet pressure sensor III 33, air pump outlet pressure sensor IV 32 is fixed in respectively air pump 4 and trachea I 10, trachea II 24, trachea III 23, trachea IV 22 junctions, when angular displacement sensor adopts the photoelectric encoder 37 of contact, photoelectric encoder 37 is affixed with the output shaft of motor 30, when angular displacement sensor adopts contactless hall displacement transducer 36, hall displacement transducer 36 is fixed on main platform 6, is placed in driven gear wheel 28 1 sides.
As Figure 11, Figure 12, shown in Figure 13, the B of facial recognition mechanism is by base 44, main rotary support 43, support I 42, support II 40, panel rotary support 39, control panel 38, photographic head 51 and touch display screen 52 form, wherein base 44 is by bolt I 45, bolt II 48 is fixed on physiotherapy bed 1, main rotary support 43 is fixed on base 44 by bolt III 46, support I 42 root one end are hinged by axle I 47 and main rotary support 43, support I 42 other ends are hinged by axle II 41 and support II 40 one end, support II 40 other ends are hinged by axle III 49 and panel rotary support 39, panel rotary support 39 is affixed by bolt IV 50 and control panel 38, photographic head 51 is arranged on control panel 38 front upper, touch display screen 52 is arranged on control panel 38 fronts, control panel 38 is provided with light compensating apparatus LED lamp 53, is arranged on photographic head 51 1 sides.
As shown in figure 14, described Electromechanical Control module, by the calling and the execution of program of information in data base, is controlled the action of traction apparatus actuator; Described data base is for the identity information of store patient, face-image, treatment data, after patient is treated can by this patient's treatment data with and facial feature data store, when facial-recognition security systems identifies patient's treatment of again coming, can automatically recall the treatment data that this patient has stored; Described image collecting device is arranged on the inside of control panel 38, is connected with photographic head 51, for gathering patient's face image, and uploads to image processing module; Described image processing module and facial recognition modules are used for analyzing patient face principal character data, and compare with the characteristic in described data base, thereby transfer corresponding identity information and treatment data.
Claims (2)
1. a horizontal cervical-vertebra traction machine with face recognition function, by physiotherapy bed (1), cervical vertebra tractor (A), formed, wherein physiotherapy bed (1) is relative with ground fixing, and in cervical vertebra tractor (A), the driven gear wheel (28) of main platform rotating mechanism (A3) is fixed in main platform (6) bottom, the motor (30) of main platform rotating mechanism (A3) is fixed in main platform (6) bottom through metal baffle I (2), the pneumatic die cushion platform (25) of head and neck supporting mechanism (A2) is fixed in main platform (6) top, the neck support air bag (26) of head and neck supporting mechanism (A2) is fixed in main platform (6) top through air-bag base (27), air pump (4) is connected with the traction cylinder (10) of haulage gear (A1) through trachea I (9) flatly, (4) two mouthfuls of air pumps are connected with the inflation pneumatic die cushion I (7) of head and neck supporting mechanism (A2) through trachea II (24), (4) three mouthfuls of air pumps are connected with the inflation pneumatic die cushion II (8) of head and neck supporting mechanism (A2) through trachea III (23), air pump (4) four-hole is connected with the neck support air bag (26) of head and neck supporting mechanism (A2) through trachea IV (22), air pump (4) is affixed with main platform (6) through metal baffle II (3) and metal baffle III (5), in checkout gear (A4), air pump outlet pressure sensor I (34), air pump outlet pressure sensor II (35), air pump outlet pressure sensor III (36), air pump outlet pressure sensor IV (37) are fixed in respectively air pump (33) and trachea I (17), trachea II (18), trachea III (19), trachea IV (20) junction, it is characterized in that being provided with computer (C), physiotherapy bed (1) top affixed facial recognition mechanism (B), facial recognition mechanism (B) is by base (44), main rotary support (43), support I (42), support II (40), panel rotary support (39), control panel (38), photographic head (51) and touch display screen (52) form, wherein base (44) is by bolt I (45), bolt II (48) is fixed on physiotherapy bed (1), main rotary support (43) is fixed on base (44) by bolt III (46), support I (42) root one end is hinged by axle I (47) and main rotary support (43), support I (42) other end is hinged by axle II (41) and support II (40) one end, support II (40) other end is hinged by axle III (49) and panel rotary support (39), panel rotary support (39) is affixed by bolt IV (50) and control panel (38), photographic head (51) is arranged on control panel (38) front upper, touch display screen (52) is arranged on control panel (38) front, computer (C) is independent to be placed, and computer (C) is provided with image processing module, facial recognition modules, data base access module and Electromechanical Control module, facial recognition mechanism (B), the middle traction cylinder (16) of haulage gear (A1) of cervical vertebra tractor (A), the motor (30) of the air pump (4) of head and neck supporting mechanism (A2), main platform rotating mechanism (A3), the air pump outlet pressure sensor I (35) in checkout gear (A4), air pump outlet pressure sensor II (34), air pump outlet pressure sensor III (33) gentle pump discharge pressure sensor IV (32) are controlled by computer (C).
2. by the horizontal cervical-vertebra traction machine with face recognition function claimed in claim 1, it is characterized in that described control panel (38) is provided with light compensating apparatus LED lamp (53), is arranged on photographic head (51) one sides.
Priority Applications (1)
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CN201410270901.2A CN104027193B (en) | 2014-06-17 | 2014-06-17 | There is the horizontal cervical-vertebra traction machine of face recognition function |
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CN201410270901.2A CN104027193B (en) | 2014-06-17 | 2014-06-17 | There is the horizontal cervical-vertebra traction machine of face recognition function |
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CN104027193A true CN104027193A (en) | 2014-09-10 |
CN104027193B CN104027193B (en) | 2015-11-18 |
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CN201410270901.2A Expired - Fee Related CN104027193B (en) | 2014-06-17 | 2014-06-17 | There is the horizontal cervical-vertebra traction machine of face recognition function |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104083240A (en) * | 2014-07-16 | 2014-10-08 | 长春中医药大学附属医院 | Horizontal type cervical vertebra traction bed adaptive to physiological curvature of cervical vertebrae |
CN105213079A (en) * | 2015-11-03 | 2016-01-06 | 长春中医药大学附属医院 | One can support cervical vertebra clinostatism batch (-type) extension table |
CN105963128A (en) * | 2016-04-27 | 2016-09-28 | 深圳前海勇艺达机器人有限公司 | Voice-controlled lumbar vertebra massaging robot |
CN106798604A (en) * | 2017-02-24 | 2017-06-06 | 上海恒洋医疗器械有限公司 | A kind of personalized cervical traction mechanism of Shi angles family and its system |
CN108363413A (en) * | 2018-01-18 | 2018-08-03 | 深圳市中科智诚科技有限公司 | A kind of face recognition device that the accuracy of identification with Face detection function is high |
CN112890975A (en) * | 2021-01-15 | 2021-06-04 | 河北医科大学第二医院 | Shaping and beautifying jaw face fixing device |
TWI775643B (en) * | 2021-10-13 | 2022-08-21 | 大葉大學 | Portable cloud computing auto-diagnosis cervical vertebra tractor |
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JPH06269469A (en) * | 1993-03-19 | 1994-09-27 | Yoshitaka Tanaka | Vertebra traction device |
CN2249589Y (en) * | 1994-08-09 | 1997-03-19 | 崔玉田 | Cervical spine tractor |
CN201119936Y (en) * | 2007-12-04 | 2008-09-24 | 石峰 | Multifunctional folding type dragging device for human body correction |
CN102068366A (en) * | 2011-01-21 | 2011-05-25 | 许�鹏 | Multifunctional cervical vertebra and vertebral column homeopathic traction physiotherapy couch |
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2014
- 2014-06-17 CN CN201410270901.2A patent/CN104027193B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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JPH06269469A (en) * | 1993-03-19 | 1994-09-27 | Yoshitaka Tanaka | Vertebra traction device |
CN2249589Y (en) * | 1994-08-09 | 1997-03-19 | 崔玉田 | Cervical spine tractor |
CN201119936Y (en) * | 2007-12-04 | 2008-09-24 | 石峰 | Multifunctional folding type dragging device for human body correction |
CN102068366A (en) * | 2011-01-21 | 2011-05-25 | 许�鹏 | Multifunctional cervical vertebra and vertebral column homeopathic traction physiotherapy couch |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104083240A (en) * | 2014-07-16 | 2014-10-08 | 长春中医药大学附属医院 | Horizontal type cervical vertebra traction bed adaptive to physiological curvature of cervical vertebrae |
CN105213079A (en) * | 2015-11-03 | 2016-01-06 | 长春中医药大学附属医院 | One can support cervical vertebra clinostatism batch (-type) extension table |
CN105963128A (en) * | 2016-04-27 | 2016-09-28 | 深圳前海勇艺达机器人有限公司 | Voice-controlled lumbar vertebra massaging robot |
CN106798604A (en) * | 2017-02-24 | 2017-06-06 | 上海恒洋医疗器械有限公司 | A kind of personalized cervical traction mechanism of Shi angles family and its system |
CN108363413A (en) * | 2018-01-18 | 2018-08-03 | 深圳市中科智诚科技有限公司 | A kind of face recognition device that the accuracy of identification with Face detection function is high |
CN108363413B (en) * | 2018-01-18 | 2020-12-18 | 深圳市海清视讯科技有限公司 | Face recognition equipment with face positioning function |
CN112890975A (en) * | 2021-01-15 | 2021-06-04 | 河北医科大学第二医院 | Shaping and beautifying jaw face fixing device |
TWI775643B (en) * | 2021-10-13 | 2022-08-21 | 大葉大學 | Portable cloud computing auto-diagnosis cervical vertebra tractor |
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