CN110647847A - Human body action track recognition machine and recognition method - Google Patents
Human body action track recognition machine and recognition method Download PDFInfo
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- CN110647847A CN110647847A CN201910903247.7A CN201910903247A CN110647847A CN 110647847 A CN110647847 A CN 110647847A CN 201910903247 A CN201910903247 A CN 201910903247A CN 110647847 A CN110647847 A CN 110647847A
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- assembled
- ccd camera
- clamping mechanism
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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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to a human body action track recognition machine and a recognition method, wherein the human body action track recognition machine comprises a rack; a clamping mechanism is arranged in the frame and used for clamping a product to be assembled; a plurality of material placing and detecting mechanisms are arranged around the clamping mechanism and used for placing assembly parts; a sensor for sensing the assembled parts is also arranged in the logistics detection mechanism; a part detection camera and a track CCD camera which are oppositely arranged on the rack are arranged above the clamping mechanism; the halo bracelet is matched with the track CCD camera and is worn on the hand of an operator; the track CCD camera has the advantages that the track CCD camera is convenient to use and easy to maintain, leaks which are not easy to find in the assembling process are greatly reduced, the cost is reduced, the efficiency is improved, the track CCD camera is particularly suitable for being used by precision part assembling and producing enterprises, and the track CCD camera has higher practicability.
Description
Technical Field
The invention belongs to the field of automatic part assembly recognition, and particularly relates to a human body motion track recognition machine and a human body motion track recognition method.
Background
In some production enterprises of precision part equipment, workers need to manually assemble a plurality of parts, but when the workers assemble the parts, the problems of wrong taking, wrong assembly, neglected assembly, improper installation and the like often exist, great trouble is brought to subsequent work, and meanwhile, the number of workers is large, so that the corresponding processing cost is high; and after workers work for a long time, the problems of installation are more easily caused during assembly, so that a lot of inconvenience is brought to production and processing of enterprises, and further development of the enterprises is restricted.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides the human body action track recognition machine and the human body action track recognition method which have the advantages of simple structure, convenience in use, easiness in maintenance, capability of reducing the defects which are not easy to find in the assembling process, cost reduction and efficiency improvement and are particularly suitable for precision part assembling and producing enterprises.
In order to achieve the purpose, the invention adopts the technical scheme that: a human body action track recognition machine comprises a rack, a clamping mechanism, a material placement detection mechanism, a sensor, a part detection camera, a halo bracelet, a track CCD camera and an electric screwdriver; a clamping mechanism is arranged in the frame and used for clamping a product to be assembled; a plurality of material placing and detecting mechanisms are arranged around the clamping mechanism and used for placing assembly parts; a sensor for sensing the assembled parts is also arranged in the logistics detection mechanism; a part detection camera and a track CCD camera which are oppositely arranged on the rack are arranged above the clamping mechanism; the halo bracelet is matched with the track CCD camera and is worn on the hand of an operator; and an electric screwdriver is arranged on one side of the track CCD camera and used for automatically driving a screw into a joint of a product to be assembled and an assembled part.
Furthermore, the device also comprises a display for displaying the running condition of the device and an alarm for alarming various faults; the display is internally provided with a control system for controlling the equipment, and the control system is connected with the display and the alarm.
A recognition method by using a human body motion track recognition machine comprises the following steps:
s1: placing the product to be assembled at the clamping mechanism, and clamping and positioning the product to be assembled;
s2: the staff sequentially take the assembly parts from the plurality of peripheral material placement detection mechanisms in sequence for assembly, and the alarm does not give an alarm if the taking sequence conforms to the sensing sequence of the preset sensor; if the alarm does not meet the preset alarm condition, the alarm gives an alarm;
s3: the wrist of the employee is provided with an optical bracelet, and the optical bracelet is used for being matched with the track CCD camera for detection; if the operation track of the staff hand is greatly different from the track of a preset program in the control system, an alarm gives an alarm; if the track difference is within the set range, the alarm does not give an alarm;
s4: the method comprises the following steps that a worker assembles a product to be assembled and an assembled part by using an electric screwdriver, the assembly is detected by a part detection camera, and if the difference between the assembled part and a program preset in a control system is large, an alarm gives an alarm; if the assembly is not in place, the alarm is also alarmed when the parts are not completely matched with the alarm.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages:
according to the human body action track recognition machine and the recognition method, the display, the material placing and detecting mechanism, the clamping mechanism, the part detecting camera, the track CCD camera and the electric screwdriver are arranged on the rack, the whole structure is simple, the use is convenient, the maintenance is easy, the easily found leak in the assembling process is greatly reduced, the cost is reduced, the efficiency is improved, the human body action track recognition machine is particularly suitable for being used by precision part assembling and producing enterprises, and the human body action track recognition machine and the recognition method have high practicability.
Drawings
The technical scheme of the invention is further explained by combining the accompanying drawings as follows:
FIG. 1 is a schematic perspective view of a human motion trajectory recognition device according to the present invention;
FIG. 2 is a front view of the human motion trajectory recognition device of the present invention;
FIG. 3 is a side view of FIG. 2;
wherein: 1. a frame; 2. a clamping mechanism; 3. a material placement detection mechanism; 4. a part inspection camera; 5. a trajectory CCD camera; 6. an electric screwdriver; 7. display, 8, alarm.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
Referring to fig. 1-3, the human body motion track recognition machine of the present invention comprises a frame 1, a clamping mechanism 2, a material placement detection mechanism 3, a sensor (not shown in the figure), a part detection camera 4, a halo bracelet (not shown in the figure), a track CCD camera 5 and an electric screwdriver 6; a clamping mechanism 2 is arranged in the frame 1 and used for clamping a product to be assembled; a plurality of material placing and detecting mechanisms 3 are arranged around the clamping mechanism 2 and used for placing assembly parts; a sensor for sensing assembly parts is also arranged in the logistics detection mechanism 3; a part detection camera 4 and a track CCD camera 5 which are oppositely arranged on the frame 1 are arranged above the clamping mechanism 2; the halo bracelet is matched with the track CCD camera 5 and is worn on the hand of an operator; and an electric screwdriver 6 is arranged on one side of the track CCD camera 5 and used for automatically driving screws into the joint of the product to be assembled and the assembled part.
In addition, the device also comprises a display 7 for displaying the running condition of the device and an alarm 8 for alarming various faults; the display 7 is internally provided with a control system for controlling the equipment, and the control system is connected with the display 7 and the alarm 8.
The invention also discloses an identification method by using the human body action track identification machine, which comprises the following steps:
s1: placing the product to be assembled at the clamping mechanism 2, and clamping and positioning the product to be assembled;
s2: the staff sequentially take the assembly parts from the plurality of peripheral material placement detection mechanisms 3 for assembly, and the alarm does not give an alarm if the assembly sequence conforms to the sensing sequence of the preset sensor; if not, the alarm gives an alarm.
Wherein, a plurality of inductors have set up the order of response in advance, for example 1 inductor responds first, and 2 inductors are back to respond to, if the installation order is in disorder then the alarm is reported to the police and is reminded the staff, its equipment mistake.
S3: the wrist of the employee is provided with an optical bracelet, and the optical bracelet is used for being matched with the track CCD camera for detection; if the operation track of the staff hand is greatly different from the track of a preset program in the control system, an alarm gives an alarm; if the track phase difference is within the set range, the alarm does not give an alarm.
If the operation track of the staff hand is greatly different from the track of a preset program in the control system, an alarm is given, the track similarity can be set, 100 or 50 can be set in the control system in advance, and the higher the number is, the higher the installation accuracy is represented.
S4: the method comprises the following steps that a worker assembles a product to be assembled and an assembled part by using an electric screwdriver, the assembly is detected by a part detection camera, and if the difference between the assembled part and a program preset in a control system is large, an alarm gives an alarm; if the assembly is not in place, the alarm also prompts to give an alarm if the parts are not completely matched.
According to the human body action track recognition machine and the recognition method, the display, the material placing and detecting mechanism, the clamping mechanism, the part detecting camera, the track CCD camera and the electric screwdriver are arranged on the rack, the whole structure is simple, the use is convenient, the maintenance is easy, the easily found leak in the assembling process is greatly reduced, the cost is reduced, the efficiency is improved, the human body action track recognition machine is particularly suitable for being used by precision part assembling production enterprises, and the human body action track recognition machine and the recognition method have higher practicability.
The above is only a specific application example of the present invention, and the protection scope of the present invention is not limited in any way. All the technical solutions formed by equivalent transformation or equivalent replacement fall within the protection scope of the present invention.
Claims (3)
1. A human body action track recognition machine is characterized by comprising a rack, a clamping mechanism, a material placement detection mechanism, a sensor, a part detection camera, a halo bracelet, a track CCD camera and an electric screwdriver; a clamping mechanism is arranged in the frame and used for clamping a product to be assembled; a plurality of material placing and detecting mechanisms are arranged around the clamping mechanism and used for placing assembly parts; a sensor for sensing the assembled parts is also arranged in the logistics detection mechanism; a part detection camera and a track CCD camera which are oppositely arranged on the rack are arranged above the clamping mechanism; the halo bracelet is matched with the track CCD camera and is worn on the hand of an operator; and an electric screwdriver is arranged on one side of the track CCD camera and used for automatically driving a screw into a joint of a product to be assembled and an assembled part.
2. The human motion trajectory recognition machine of claim 1, wherein: the device also comprises a display for displaying the running condition of the device and an alarm for alarming various faults; the display is internally provided with a control system for controlling the equipment, and the control system is connected with the display and the alarm.
3. A recognition method using the human body motion trajectory recognition machine according to claim 2, comprising the steps of:
s1: placing the product to be assembled at the clamping mechanism, and clamping and positioning the product to be assembled;
s2: the staff sequentially take the assembly parts from the plurality of peripheral material placement detection mechanisms in sequence for assembly, and the alarm does not give an alarm if the taking sequence conforms to the sensing sequence of the preset sensor; if the alarm does not meet the preset alarm condition, the alarm gives an alarm;
s3: the wrist of the employee is provided with an optical bracelet, and the optical bracelet is used for being matched with the track CCD camera for detection; if the operation track of the staff hand is greatly different from the track of a preset program in the control system, an alarm gives an alarm; if the track difference is within the set range, the alarm does not give an alarm;
s4: the method comprises the following steps that a worker assembles a product to be assembled and an assembled part by using an electric screwdriver, the assembly is detected by a part detection camera, and if the difference between the assembled part and a program preset in a control system is large, an alarm gives an alarm; if the assembly is not in place, the alarm is also alarmed when the parts are not completely matched with the alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910903247.7A CN110647847A (en) | 2019-09-24 | 2019-09-24 | Human body action track recognition machine and recognition method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910903247.7A CN110647847A (en) | 2019-09-24 | 2019-09-24 | Human body action track recognition machine and recognition method |
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| CN110647847A true CN110647847A (en) | 2020-01-03 |
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| CN201910903247.7A Pending CN110647847A (en) | 2019-09-24 | 2019-09-24 | Human body action track recognition machine and recognition method |
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Citations (7)
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| CN203109588U (en) * | 2013-06-13 | 2013-08-07 | 成都九鼎科技(集团)有限公司 | Anti-wrong-assembly device of assembly of parts |
| US20160161301A1 (en) * | 2014-10-11 | 2016-06-09 | Workaround Ug (Haftungsbeschraenkt) | Workwear Unit, Bracelet, Connecting Piece, Glove, Sensor Module and Method of Detecting, Documenting, Analyzing, Monitoring and/or Teaching Processes |
| CN106428295A (en) * | 2016-12-02 | 2017-02-22 | 山东中车同力达智能机械有限公司 | Mobile power car materiel order installation error-proof monitoring device |
| CN207556582U (en) * | 2017-11-06 | 2018-06-29 | 苏州坤地智能技术有限公司 | A kind of automatic detection car light equipment |
| CN208444183U (en) * | 2018-08-10 | 2019-01-29 | 机械工业第六设计研究院有限公司 | Fitter's bench error protection control system |
| CN109813925A (en) * | 2019-02-19 | 2019-05-28 | 厦门盈趣科技股份有限公司 | The method and its hand of a kind of electric screwdriver lock screw quality inspection wear equipment |
| CN110135284A (en) * | 2019-04-25 | 2019-08-16 | 中国地质大学（武汉） | A kind of basket baller's motion capture analytical equipment and method based on industrial camera |
-
2019
- 2019-09-24 CN CN201910903247.7A patent/CN110647847A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203109588U (en) * | 2013-06-13 | 2013-08-07 | 成都九鼎科技(集团)有限公司 | Anti-wrong-assembly device of assembly of parts |
| US20160161301A1 (en) * | 2014-10-11 | 2016-06-09 | Workaround Ug (Haftungsbeschraenkt) | Workwear Unit, Bracelet, Connecting Piece, Glove, Sensor Module and Method of Detecting, Documenting, Analyzing, Monitoring and/or Teaching Processes |
| CN106428295A (en) * | 2016-12-02 | 2017-02-22 | 山东中车同力达智能机械有限公司 | Mobile power car materiel order installation error-proof monitoring device |
| CN207556582U (en) * | 2017-11-06 | 2018-06-29 | 苏州坤地智能技术有限公司 | A kind of automatic detection car light equipment |
| CN208444183U (en) * | 2018-08-10 | 2019-01-29 | 机械工业第六设计研究院有限公司 | Fitter's bench error protection control system |
| CN109813925A (en) * | 2019-02-19 | 2019-05-28 | 厦门盈趣科技股份有限公司 | The method and its hand of a kind of electric screwdriver lock screw quality inspection wear equipment |
| CN110135284A (en) * | 2019-04-25 | 2019-08-16 | 中国地质大学（武汉） | A kind of basket baller's motion capture analytical equipment and method based on industrial camera |
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