CN111882821A - Anti-falling and injury-breaking early warning system for engineering site based on image recognition - Google Patents
Anti-falling and injury-breaking early warning system for engineering site based on image recognition Download PDFInfo
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- CN111882821A CN111882821A CN202010776052.3A CN202010776052A CN111882821A CN 111882821 A CN111882821 A CN 111882821A CN 202010776052 A CN202010776052 A CN 202010776052A CN 111882821 A CN111882821 A CN 111882821A
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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
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses an engineering field anti-falling and smashing early warning system based on image recognition, which comprises an image acquisition unit, an image recognition unit, a processor and an alarm unit, wherein the image acquisition unit comprises a digital camera, and the system acquires images in a visible range of an engineering field, preprocesses the acquired images according to a time sequence to generate a time sequence image and estimates whether an object shot by the time sequence image has a specified phenomenon. Compared with the prior art, the method has the advantages that: the invention adopts the latest high-tech image recognition, and connects the image recognition with the calculator processing system and the alarm device to form an engineering field falling prevention and smashing early warning system based on the image recognition, and the system can timely detect and react to the falling object at the engineering field, so that the constructors can know that the safety problem occurs at the earliest time, and more reliable guarantee is provided for the safety of the constructors.
Description
Technical Field
The invention relates to the technical field of anti-falling and anti-smashing in engineering sites, in particular to an early warning system for the anti-falling and anti-smashing in engineering sites based on image recognition.
Background
In construction sites such as construction engineering sites and the like, the phenomenon of falling objects at high altitude sometimes occurs, and if constructors directly receive the impact of the falling objects, the safety helmet is used as a protection tool for protecting the head of a human body, so that the personal safety of the constructors is guaranteed to a certain extent. However, how to let the personnel keep away from the object that falls, eliminate the potential safety hazard, carry out real time monitoring to whether there is the object that falls the condition, when falling the object, immediately report an emergency and ask for help or increased vigilance. It becomes critical. In order to solve the problems, the anti-falling and injury-breaking early warning system based on image recognition is provided again.
Disclosure of Invention
The invention aims to solve the technical problems and provides an image recognition-based anti-falling injury early warning system for an engineering site, which is used for detecting whether an object falls through a real-time video of the anti-falling injury early warning system, and giving an alarm in real time to remind the user of avoiding the object falling.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the utility model provides an engineering scene prevents falling and injures early warning system by a crashing object based on image recognition, the engineering scene prevents falling and injures early warning system by a crashing object based on image recognition includes image acquisition unit, image recognition unit, treater and alarm unit, image acquisition unit includes the digital camera, the number of digital camera is a plurality of and evenly installs on the building at every corner of engineering scene, and the digital camera passes through adjustable mounting bracket to be fixed on the engineering scene building, a plurality of the digital camera all is connected with the image recognition unit electricity, the image recognition unit includes information processor, and the image recognition unit is connected with the alarm unit electricity, and the image recognition unit is connected with the treater electricity, and the treater includes wireless processing module.
Furthermore, the digital camera is installed in the guard box, plays the effect of protecting and keeping out the wind and rain to the digital camera, guard box and adjustable mounting bracket fixed connection.
Further, the alarm unit comprises a siren and a warning lamp. Providing a light alarm and a voice alarm.
Furthermore, the image acquisition unit is used for acquiring video image information and uploading the image to the image identification module.
Furthermore, the image recognition unit further comprises a storage module, and the storage module can store video images of the irregular phenomena.
Further, the processor reports the information to a remote server through a wireless communication module on the processor, so that the remote server is marked.
Compared with the prior art, the invention has the advantages that: the invention adopts the latest high-tech image recognition technology and connects the image recognition technology with the calculator processing system and the alarm device to form an engineering field falling prevention and smashing early warning system based on image recognition, the system can timely detect and react to the falling object at the engineering field, the constructor can know that the safety problem occurs at the earliest time, and more reliable guarantee is provided for the safety of the constructor.
Drawings
FIG. 1 is a system flow chart of a fall and injury prevention early warning system for an engineering field based on image recognition.
Fig. 2 is a schematic structural diagram of a digital camera of the anti-falling and injury-breaking early warning system for the engineering field based on image recognition.
As shown in the figure: 1. digital camera, 2, adjustable mounting bracket, 3, guard box.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments and drawings.
An engineering field anti-falling and smashing early warning system based on image recognition comprises an image acquisition unit, an image recognition unit, a processor and an alarm unit, wherein the image acquisition unit comprises a plurality of digital cameras 1, the digital cameras 1 are uniformly arranged on buildings at each corner of an engineering field, falling object detection of each angle on the engineering field is guaranteed, construction safety of the engineering field is comprehensively guaranteed, the digital cameras 1 are fixed on the buildings at the engineering field through adjustable mounting frames 2, the mounting heights and the inclination angles of the digital cameras 1 are different, the adjustable mounting frames 2 are convenient for adjusting the angles of the digital cameras 1 during mounting, the digital cameras 1 are mounted in a protective box 3, the protective box 3 is fixedly connected with the adjustable mounting frames 2, the digital cameras 1 are all electrically connected with an image recognition unit, the image recognition unit comprises an information processor, the image recognition unit is electrically connected with an alarm unit, the alarm unit comprises a siren and an alarm lamp, the image recognition unit is electrically connected with the processor, and the processor comprises a wireless processing module.
The image acquisition unit is used for acquiring video image information and uploading images to the image identification module. The image recognition unit further comprises a storage module, and the storage module can store video images of the irregular phenomena. When the video image information is transmitted to the information processor in the image recognition module, the information processor can rapidly compare the video image information with the video image information in the storage module, and the video image information is matched with the video image information which is not in accordance with the regulations in the storage module, so that the information processor rapidly transmits an instruction to the alarm unit to provide warning information for constructors. Then the information processor will transmit the video of the accident to the processor in a wireless way, and the processor reports the information to the remote server through the wireless communication module on the processor, so that the remote server is marked.
The invention and its embodiments have been described above, without this being limitative. Without departing from the spirit of the invention, a person skilled in the art shall appreciate that embodiments similar to the above-described embodiments may be devised without inventing, and the invention shall fall within the scope of the claims.
Claims (6)
1. The utility model provides an engineering scene prevents falling and injures early warning system by a crashing object based on image recognition which characterized in that: the anti-falling injury-breaking early warning system based on image recognition for the engineering site comprises an image acquisition unit, an image recognition unit, a processor and an alarm unit, wherein the image acquisition unit comprises a digital camera (1), the number of the digital camera (1) is a plurality of, the digital camera is uniformly installed on a building at each corner of the engineering site, the digital camera (1) is fixed on the building of the engineering site through an adjustable installation frame (2), the digital camera (1) is a plurality of, the digital camera is electrically connected with the image recognition unit, the image recognition unit comprises an information processor, the image recognition unit is electrically connected with the alarm unit, the image recognition unit is electrically connected with the processor, and the processor comprises a wireless processing module.
2. The engineering field fall and injury prevention early warning system based on image recognition is characterized in that: the digital camera (1) is installed in the protection box (3), and the protection box (3) is fixedly connected with the adjustable installation frame (2).
3. The engineering field fall and injury prevention early warning system based on image recognition is characterized in that: the alarm unit comprises a siren and an alarm lamp.
4. The engineering field fall and injury prevention early warning system based on image recognition is characterized in that: the image acquisition unit is used for acquiring video image information and uploading images to the image identification module.
5. The engineering field fall and injury prevention early warning system based on image recognition is characterized in that: the image recognition unit further comprises a storage module, and the storage module can store video images of the irregular phenomena.
6. The engineering field fall and injury prevention early warning system based on image recognition is characterized in that: the processor reports the information to the remote server through the wireless communication module, so that the remote server leaves a trace.
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CN202010776052.3A CN111882821A (en) | 2020-08-05 | 2020-08-05 | Anti-falling and injury-breaking early warning system for engineering site based on image recognition |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112560751A (en) * | 2020-12-24 | 2021-03-26 | 湘潭大学 | Balcony high-altitude falling risk detection method and system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001108494A (en) * | 1999-10-12 | 2001-04-20 | Japan Radio Co Ltd | Falling rock-monitoring system |
US20130286197A1 (en) * | 2012-04-27 | 2013-10-31 | Hon Hai Precision Industry Co., Ltd. | Safety guard device and method for detecting falling object |
CN104601939A (en) * | 2013-10-31 | 2015-05-06 | 深圳市东宝嘉科技有限公司 | Method and system for monitoring thrown object and eliminating risks of thrown object |
CN108574831A (en) * | 2018-06-27 | 2018-09-25 | 华北电力大学(保定) | High altitude anti-falling object device and method |
CN109842787A (en) * | 2019-01-09 | 2019-06-04 | 武汉海慧技术有限公司 | A kind of method and system monitoring throwing object in high sky |
CN110636264A (en) * | 2019-09-23 | 2019-12-31 | 天津天地人和企业管理咨询有限公司 | High-altitude parabolic intelligent detection early warning system and method |
CN111163285A (en) * | 2018-11-08 | 2020-05-15 | 佳维技术有限公司 | High-altitude falling object monitoring method and system and computer readable storage medium |
-
2020
- 2020-08-05 CN CN202010776052.3A patent/CN111882821A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001108494A (en) * | 1999-10-12 | 2001-04-20 | Japan Radio Co Ltd | Falling rock-monitoring system |
US20130286197A1 (en) * | 2012-04-27 | 2013-10-31 | Hon Hai Precision Industry Co., Ltd. | Safety guard device and method for detecting falling object |
CN104601939A (en) * | 2013-10-31 | 2015-05-06 | 深圳市东宝嘉科技有限公司 | Method and system for monitoring thrown object and eliminating risks of thrown object |
CN108574831A (en) * | 2018-06-27 | 2018-09-25 | 华北电力大学(保定) | High altitude anti-falling object device and method |
CN111163285A (en) * | 2018-11-08 | 2020-05-15 | 佳维技术有限公司 | High-altitude falling object monitoring method and system and computer readable storage medium |
CN109842787A (en) * | 2019-01-09 | 2019-06-04 | 武汉海慧技术有限公司 | A kind of method and system monitoring throwing object in high sky |
CN110636264A (en) * | 2019-09-23 | 2019-12-31 | 天津天地人和企业管理咨询有限公司 | High-altitude parabolic intelligent detection early warning system and method |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112560751A (en) * | 2020-12-24 | 2021-03-26 | 湘潭大学 | Balcony high-altitude falling risk detection method and system |
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Application publication date: 20201103 |