CN203000938U - Human body falling recognizing and early warning system based on video monitoring - Google Patents
Human body falling recognizing and early warning system based on video monitoring Download PDFInfo
- Publication number
- CN203000938U CN203000938U CN 201220604321 CN201220604321U CN203000938U CN 203000938 U CN203000938 U CN 203000938U CN 201220604321 CN201220604321 CN 201220604321 CN 201220604321 U CN201220604321 U CN 201220604321U CN 203000938 U CN203000938 U CN 203000938U
- Authority
- CN
- China
- Prior art keywords
- human body
- dsp
- warning system
- image acquisition
- display
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Alarm Systems (AREA)
Abstract
The utility model discloses a human body falling recognizing and early warning system based on video monitoring. The system comprises a host machine, a display connected to the host machine; a plastic pad for a human body to walk is laid in front of the display; a plastic boss is arranged around the plastic pad; an image acquisition box is arranged at the top of the display; a FPGA (Field Programmable Gate Array) and a DSP (Digital Signal Processor) in mutual two-way communicating connection with each other are arranged in the image acquisition box; a pair of cameras aiming at a human body on the plastic pad respectively are arranged on the sidewall of the image acquisition box; both of the cameras are connected to the FPGA, and the DSP is connected with the two cameras through an I2C/SPI bus respectively; and the DSP is also communicated with the host machine through an USB (Universal Serial Bus). The system further comprises sleeves worn on human limbs; a center processing unit, as well as an inertia measuring unit and a wireless module which are connected to the center processing unit respectively are arranged inside the sleeves; the center processing units in the sleeves are communicated with the host machine; and the host machine is externally connected with an external warning system. The system has the advantages of higher accuracy and trueness, and capability of rapid recognition and warning of human body falling.
Description
Technical field
This utility model relates to human body behavior analysis early warning field, is specially a kind of falling over of human body identification and early warning system based on video monitoring.
Background technology
Motion identification device based on video is made of main frame, display, action recognition module etc., can be by the moving image of the camera collection human body in motion identification device, and by integrated image algorithm chip, moving image is resolved, form the Three-Dimensional Dynamic coordinate of human motion, synthetic and the emulation through the image of main frame shows corresponding action at last in display.Therefore the action recognition technology based on video can be used as the falling over of human body recognition system.Still there is no ripe falling over of human body identification and warning system based on video monitoring in prior art.
The utility model content
The purpose of this utility model is to provide a kind of falling over of human body identification and early warning system based on video monitoring, there is no the falling over of human body identification of video monitoring and the problem of early warning system to solve prior art.
In order to achieve the above object, the technical scheme that adopts of this utility model is:
a kind of falling over of human body identification and early warning system based on video monitoring, include main frame, the display of access host, it is characterized in that: display the place ahead setting is equipped with the plastic mattress for human body walking, be provided with the boss of plastic material around plastic mattress, also be coated with one deck cotton on boss, the display top is provided with the image acquisition box, the image acquisition box is built-in with the FPGA of both-way communication connection each other, DSP, be provided with a pair of photographic head of aiming at respectively human body on plastic mattress on image acquisition box sidewall, two photographic head access FPGA by holding wire respectively, DSP is connected with two photographic head by the I2C/SPI bus respectively, DSP also is connected with host communication by usb bus, also comprise the oversleeve that is worn on human limb, oversleeve is built-in with center processing unit, and the Inertial Measurement Unit that accesses respectively center processing unit, wireless module, center processing unit in oversleeve is connected with host communication by the wireless module that connects, main frame is circumscribed with warning system.
Described a kind of falling over of human body identification and early warning system based on video monitoring, it is characterized in that: described Inertial Measurement Unit comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.
In this utility model, human body is walked on plastic mattress, plastic mattress and boss can prevent the human body traumatic injury, by the camera collection human motion image, gather human body movement data by Inertial Measurement Unit in oversleeve, and be sent to respectively main frame, simulate the relevant action picture on display in conjunction with human body movement data according to human motion image by the main frame internal program.The utlity model has higher precision and validity, can identify fast the behavior of falling down of human body and report to the police.
Description of drawings
Fig. 1 is this utility model structural representation.
Fig. 2 is this utility model image acquisition box theory diagram.
Fig. 3 is this utility model oversleeve internal structure theory diagram.
The specific embodiment
As Fig. 1, Fig. 2 and shown in Figure 3.a kind of falling over of human body identification and early warning system based on video monitoring, include main frame 1, the display 2 of access host 1, display 2 the place aheads arrange the plastic mattress 3 that is equipped with for human body walking, be provided with the boss 4 of plastic material around plastic mattress 3, also be coated with one deck cotton on boss 4, display 2 tops are provided with image acquisition box 5, image acquisition box 5 is built-in with the FPGA of both-way communication connection each other, DSP, be provided with a pair of photographic head 6 of aiming at respectively human body on plastic mattress 3 on image acquisition box 5 sidewalls, two photographic head 6 access FPGA by holding wire respectively, DSP is connected with two photographic head 6 by the I2C/SPI bus respectively, DSP also is connected with main frame 1 communication by usb bus, also comprise the oversleeve 7 that is worn on human limb, oversleeve 7 has center processing unit, and the Inertial Measurement Unit that accesses respectively center processing unit, wireless module, center processing unit in oversleeve 7 is connected with main frame 1 communication by the wireless module that connects, main frame is circumscribed with warning system 8.Inertial Measurement Unit comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.
Claims (2)
1. the falling over of human body based on video monitoring is identified and early warning system, include main frame, the display of access host, it is characterized in that: display the place ahead setting is equipped with the plastic mattress for human body walking, be provided with the boss of plastic material around plastic mattress, also be coated with one deck cotton on boss, the display top is provided with the image acquisition box, the image acquisition box is built-in with the FPGA of both-way communication connection each other, DSP, be provided with a pair of photographic head of aiming at respectively human body on plastic mattress on image acquisition box sidewall, two photographic head access FPGA by holding wire respectively, DSP is connected with two photographic head by the I2C/SPI bus respectively, DSP also is connected with host communication by usb bus, also comprise the oversleeve that is worn on human limb, oversleeve is built-in with center processing unit, and the Inertial Measurement Unit that accesses respectively center processing unit, wireless module, center processing unit in oversleeve is connected with host communication by the wireless module that connects, main frame is circumscribed with warning system.
2. a kind of falling over of human body based on video monitoring according to claim 1 is identified and early warning system, and it is characterized in that: described Inertial Measurement Unit comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220604321 CN203000938U (en) | 2012-11-15 | 2012-11-15 | Human body falling recognizing and early warning system based on video monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220604321 CN203000938U (en) | 2012-11-15 | 2012-11-15 | Human body falling recognizing and early warning system based on video monitoring |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203000938U true CN203000938U (en) | 2013-06-19 |
Family
ID=48592580
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220604321 Expired - Fee Related CN203000938U (en) | 2012-11-15 | 2012-11-15 | Human body falling recognizing and early warning system based on video monitoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203000938U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106652343A (en) * | 2016-12-16 | 2017-05-10 | 合肥寰景信息技术有限公司 | Human body falling identification and early warning system based on video monitoring |
| CN106781273A (en) * | 2016-12-16 | 2017-05-31 | 合肥寰景信息技术有限公司 | A kind of human body unusual checking and early warning system based on action recognition |
| CN111311877A (en) * | 2020-02-20 | 2020-06-19 | 吉林农业大学 | Fall detection and positioning method and device based on attitude angle |
-
2012
- 2012-11-15 CN CN 201220604321 patent/CN203000938U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106652343A (en) * | 2016-12-16 | 2017-05-10 | 合肥寰景信息技术有限公司 | Human body falling identification and early warning system based on video monitoring |
| CN106781273A (en) * | 2016-12-16 | 2017-05-31 | 合肥寰景信息技术有限公司 | A kind of human body unusual checking and early warning system based on action recognition |
| CN111311877A (en) * | 2020-02-20 | 2020-06-19 | 吉林农业大学 | Fall detection and positioning method and device based on attitude angle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102974085B (en) | Gesture recognition technology-based skiing training auxiliary system | |
| CN203000938U (en) | Human body falling recognizing and early warning system based on video monitoring | |
| CN203000939U (en) | Human gait analytical system based on gesture recognition technology | |
| CN203017737U (en) | Tennis training auxiliary system based on action identification technique | |
| CN203012745U (en) | Human abnormal behavior detecting and early-warning system based on motion identification | |
| CN106652343A (en) | Human body falling identification and early warning system based on video monitoring | |
| CN203001823U (en) | Health promotion system based on Internet of Things and action recognition technology | |
| CN105824432A (en) | Motion capturing system | |
| CN203139479U (en) | Rope skipping exercise assistant system on basis of action identification technology | |
| CN203017728U (en) | Archery training auxiliary system based on motion recognition technology | |
| CN203139577U (en) | Karate training auxiliary system based on action recognition technology | |
| CN203139506U (en) | Sit-up training assistant system on basis of action identification technology | |
| CN203017724U (en) | Aerobics training auxiliary system based on action identification technique | |
| CN202961776U (en) | Table tennis training assistance equipment based on video motion recognition technology | |
| CN109343713B (en) | Human body action mapping method based on inertial measurement unit | |
| CN202961778U (en) | Indoor-exercise warm-up system based on action recognition technology | |
| CN203017721U (en) | Multifunctional rhythm jogging training auxiliary system based on action recognition technology | |
| CN102989156A (en) | Toxophily training auxiliary system based on action recognition technology | |
| CN203017653U (en) | Limb balance rehabilitation training system based on action identification technique | |
| CN203070756U (en) | Motion recognition and voice synthesis technology-based sign language-lip language intertranslation system | |
| CN203139477U (en) | Long jump training assistant system on basis of action identification technology | |
| CN202961803U (en) | Stretching-exercise rehabilitation training system based on action recognition technology | |
| CN203059700U (en) | Human body function dynamic evaluation system based on track motion | |
| CN102989155B (en) | Hammer throw training auxiliary system based on action recognition technology | |
| CN203017725U (en) | Kickboxing training auxiliary system based on action recognition technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130619 Termination date: 20131115 |