CN111824371A - Safety distance identification platform and method applying type analysis - Google Patents
Safety distance identification platform and method applying type analysis Download PDFInfo
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- CN111824371A CN111824371A CN202010714969.0A CN202010714969A CN111824371A CN 111824371 A CN111824371 A CN 111824371A CN 202010714969 A CN202010714969 A CN 202010714969A CN 111824371 A CN111824371 A CN 111824371A
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- fish body
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63C—LAUNCHING, HAULING-OUT, OR DRY-DOCKING OF VESSELS; LIFE-SAVING IN WATER; EQUIPMENT FOR DWELLING OR WORKING UNDER WATER; MEANS FOR SALVAGING OR SEARCHING FOR UNDERWATER OBJECTS
- B63C11/00—Equipment for dwelling or working underwater; Means for searching for underwater objects
- B63C11/02—Divers' equipment
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63C—LAUNCHING, HAULING-OUT, OR DRY-DOCKING OF VESSELS; LIFE-SAVING IN WATER; EQUIPMENT FOR DWELLING OR WORKING UNDER WATER; MEANS FOR SALVAGING OR SEARCHING FOR UNDERWATER OBJECTS
- B63C11/00—Equipment for dwelling or working underwater; Means for searching for underwater objects
- B63C11/02—Divers' equipment
- B63C11/12—Diving masks
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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
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0266—System arrangements wherein the object is to detect the exact distance between parent and child or surveyor and item
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63C—LAUNCHING, HAULING-OUT, OR DRY-DOCKING OF VESSELS; LIFE-SAVING IN WATER; EQUIPMENT FOR DWELLING OR WORKING UNDER WATER; MEANS FOR SALVAGING OR SEARCHING FOR UNDERWATER OBJECTS
- B63C11/00—Equipment for dwelling or working underwater; Means for searching for underwater objects
- B63C11/02—Divers' equipment
- B63C2011/022—Divers' equipment for facilitating observation of objects in opaque liquids, e.g. in dirty, turbid or dark water
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Ocean & Marine Engineering (AREA)
- Health & Medical Sciences (AREA)
- Child & Adolescent Psychology (AREA)
- General Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
Abstract
The invention relates to a safe distance identification platform and a method for application type analysis, wherein the platform comprises: the diving wearing mechanism is used for a diver to wear underwater and comprises a waterproof mask, spread spectrum communication equipment and a top platform, wherein a top head is positioned above the waterproof mask and arranged above the head of the diver, and the spread spectrum communication equipment is in wireless communication with other spread spectrum communication equipment in a communication range of the spread spectrum communication equipment; and the lamplight illumination equipment is embedded at the front end of the top platform and is used for executing lamplight illumination operation on an underwater environment in front of the diver. The safe distance identification platform and method applying the category analysis have the advantages of timely alarm, safety and reliability. Because can distinguish the nearest fish body kind of distance diver in the dive scene immediately to give the safe distance that corresponds the kind when judging to belong to dangerous fish body, thereby can help the diver to keep safe distance, avoid being infringed by dangerous fish body.
Description
Technical Field
The invention relates to the field of diving instruments, in particular to a safe distance identification platform and method applying type analysis.
Background
The idea behind diving is to enter into activities below the water surface with or without professional tools for performing operations such as underwater exploration, salvage, repair, and underwater engineering. The back diving is gradually developed into a leisure sport which takes underwater activities as main contents, thereby achieving the purposes of body exercising and leisure and entertainment, and is widely popular with the public.
Diving equipment includes many parts such as respirators, air tubes, diving suits, flippers, BC's, diving bags, eye shields, diving gloves, diving watches, compasses, weight bands, diving knives, and the like.
If floating or diving, only a face mirror, a breathing tube and flippers are needed to be arranged, or a slightly thinner warm-keeping diving suit is worn. If the underwater lung dives (deep diving), the following equipment is also equipped: buoyancy compensating vests (BCDs), breathing regulators, diving suits, gas cylinders, and the like.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a safe distance identification platform applying type analysis, which can instantly identify the type of a fish body closest to a diver in a diving scene, and give a corresponding type of safe distance when the fish body belongs to a dangerous fish body, so as to help the diver to keep the safe distance and avoid being damaged by the dangerous fish body.
For this reason, the present invention needs to have at least the following important points:
(1) analyzing the target type of the fish body nearest to the diver by adopting a targeted diving mechanism so as to judge whether the fish body belongs to a dangerous fish body and decide whether to perform corresponding danger alarm action;
(2) and when the nearest fish body in front is judged to be a dangerous fish body, mapping the corresponding safe distance from the diver according to the type of the fish body so as to provide valuable reference information for the diver.
According to an aspect of the present invention, there is provided a safe distance recognition platform applying class analysis, the platform comprising:
the diving wearing mechanism is used for a diver to wear underwater and comprises a waterproof mask, spread spectrum communication equipment and a top platform, wherein a top head is positioned above the waterproof mask and arranged above the head of the diver, and the spread spectrum communication equipment is in wireless communication with other spread spectrum communication equipment in a communication range of the spread spectrum communication equipment;
the lamplight illumination equipment is embedded at the front end of the top platform and is used for executing lamplight illumination operation on an underwater environment in front of the diver;
the real-time video recording mechanism is arranged on the right side of the lamplight illumination equipment and is used for executing real-time video recording operation on an underwater environment in front of a diver so as to obtain a real-time video recording frame corresponding to the current moment;
local enhancement equipment, which is connected with the instant video recording mechanism and is used for executing histogram equalization processing on the received instant video recording frame so as to realize contrast enhancement operation of a part of image areas in the instant video recording frame without influencing the overall contrast of the instant video recording frame and obtain and output a corresponding local enhancement image;
the object searching mechanism is connected with the local enhancement equipment and used for searching the nearest fish body target in the local enhancement equipment as a reference fish body target;
the data storage device is used for pre-storing the reference outline of various fish bodies which cause damage to divers;
the danger detection device is respectively connected with the object searching mechanism and the data storage device and is used for judging that the reference fish body target is a threat fish body target when the similarity percentage of the reference fish body target and the reference outline of a fish body causing harm to divers exceeds the limit, otherwise, judging that the reference fish body target is a safe fish body target;
when the reference fish body target is judged to be a threat fish body target, the danger detection equipment generates a danger alarm signal and sends out a safety distance of the fish body type corresponding to the threat fish body target;
wherein, the safe distance of the fish body type corresponding to the fish body threatening target is that the fish threatening target can hurt the diver when the diver is out of the safe distance.
According to another aspect of the present invention, there is also provided a safe distance identification method using species analysis, the method including using the safe distance identification platform using species analysis as described above to determine a safe distance corresponding to a nearest fish body according to an analysis result of the nearest fish body type in a diving scene.
The safe distance identification platform and method applying the category analysis have the advantages of timely alarm, safety and reliability. Because can distinguish the nearest fish body kind of distance diver in the dive scene immediately to give the safe distance that corresponds the kind when judging to belong to dangerous fish body, thereby can help the diver to keep safe distance, avoid being infringed by dangerous fish body.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a view showing an outline of a waterproof mask in a safety distance recognition platform to which a species analysis is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of a safe distance recognition platform and method using class analysis according to the present invention will be described in detail with reference to the accompanying drawings.
Fish, the oldest vertebrate, is the species of fish. Progeny of crosses of partially different chromosome numbers still have fertility. They inhabit almost all aquatic environments on earth, from lakes and rivers in fresh water to seas and oceans in salt water. Fish are divided into two general classes: the maxillo-mandibular and maxillo-mandibular general classes include those of the classes of the circineolalia and the classes of the armatures, and the classes of the maxillo-mandibular general classes include those of the classes pelteobagrus, cartilaginosa and finfish, most of the fishes live in water all the year round, breathe with gills, and use fins to assist the temperature-changing vertebrates of body balance and movement, and also like african pulmonids, barracuda and sculpepers can live on land for a long time, and the snakes, yellowtail and finless eels breathe with single swim bladder, although most of the fishes are cold blood animals, many of the sharks and tunas are semi-constant in temperature, and the moon fish is constant in temperature. There are 36000 species of fish of the present species worldwide, which account for the majority of the named vertebrates, and new species of fish are continuously discovered, on average about 150 species per year, and should have increased by over 1500 over more than ten years. Due to the complexity of the diving environment and the variety of dangerous fishes, people can hardly distinguish whether the fishes are dangerous fishes or not facing the surrounding fishes in the diving water area.
In the prior art, because underwater scenes embedded by divers are all environments with complex terrain and rare people, various dangerous types of fish bodies and non-dangerous types of fish bodies can appear, if the divers cannot be identified in time and keep safe distance, the divers are easily damaged by the dangerous types of fish bodies, and even serious underwater casualty events are caused.
In order to overcome the defects, the invention builds a safe distance identification platform and a method for application type analysis, and can effectively solve the corresponding technical problems.
The safe distance recognition platform applying the category analysis according to the embodiment of the invention comprises:
the diving wearing mechanism is used for a diver to wear underwater and comprises a waterproof mask, spread spectrum communication equipment and a top platform, wherein a top head is positioned above the waterproof mask and arranged above the head of the diver, and the spread spectrum communication equipment is in wireless communication with other spread spectrum communication equipment in a communication range of the spread spectrum communication equipment;
fig. 1 is a view showing an outline of a waterproof mask in a safety distance recognition platform to which a species analysis is applied according to an embodiment of the present invention;
as shown in fig. 1, the waterproof mask includes a mask body 1 and an air supply duct 2 communicating with the mask body 1;
the lamplight illumination equipment is embedded at the front end of the top platform and is used for executing lamplight illumination operation on an underwater environment in front of the diver;
the real-time video recording mechanism is arranged on the right side of the lamplight illumination equipment and is used for executing real-time video recording operation on an underwater environment in front of a diver so as to obtain a real-time video recording frame corresponding to the current moment;
local enhancement equipment, which is connected with the instant video recording mechanism and is used for executing histogram equalization processing on the received instant video recording frame so as to realize contrast enhancement operation of a part of image areas in the instant video recording frame without influencing the overall contrast of the instant video recording frame and obtain and output a corresponding local enhancement image;
the object searching mechanism is connected with the local enhancement equipment and used for searching the nearest fish body target in the local enhancement equipment as a reference fish body target;
the data storage device is used for pre-storing the reference outline of various fish bodies which cause damage to divers;
the danger detection device is respectively connected with the object searching mechanism and the data storage device and is used for judging that the reference fish body target is a threat fish body target when the similarity percentage of the reference fish body target and the reference outline of a fish body causing harm to divers exceeds the limit, otherwise, judging that the reference fish body target is a safe fish body target;
when the reference fish body target is judged to be a threat fish body target, the danger detection equipment generates a danger alarm signal and sends out a safety distance of the fish body type corresponding to the threat fish body target;
wherein, the safe distance of the fish body type corresponding to the fish body threatening target is that the fish threatening target can hurt the diver when the diver is out of the safe distance.
Next, the detailed structure of the safety distance recognition platform to which the category analysis of the present invention is applied will be further described.
In the safety distance identification platform for application type analysis:
in the object search mechanism, searching for a nearest fish body target in the local enhancing apparatus as a reference fish body target includes: and taking the fish body target with the shallowest imaging depth of field in the local enhancement equipment as a reference fish body target.
In the safety distance identification platform for application type analysis:
and when the reference fish body target is judged to be the safe fish body target, the danger detection equipment generates a danger relieving signal.
In the safety distance identification platform for application type analysis:
the local augmentation device, the object search mechanism, the hazard detection device, and the data storage device are packaged in the same watertight instrument case.
The safety distance identification platform for application category analysis may further include:
and the voice receiving chip is arranged on the left side of the local enhancement equipment, is connected with the local enhancement equipment and is used for receiving a voice control signal input by a user and applied to the local enhancement equipment.
The safety distance identification platform for application category analysis may further include:
and the data conversion chip is connected with the voice receiving chip and used for carrying out voice content analysis on the received voice control signal so as to convert the voice control signal into a corresponding field control instruction.
In the safety distance identification platform for application type analysis:
the voice receiving chip is also connected with the object searching mechanism and used for receiving a voice control signal input by a user and applied to the object searching mechanism.
In the safety distance identification platform for application type analysis:
the object search mechanism is also internally provided with a memory for temporarily storing an output signal of the object search mechanism and an input signal of the object search mechanism;
the object searching mechanism consists of three programmable logic devices and is used for respectively realizing different functions of the object searching mechanism;
in the object searching mechanism, three programmable logic devices respectively realize the data receiving function, the data processing function and the data output function of the object searching mechanism.
The safety distance identification platform for application category analysis may further include:
and the real-time timing mechanism is respectively connected with the local enhancement equipment and the object searching mechanism and is used for respectively providing timing reference signals for the local enhancement equipment and the object searching mechanism.
Meanwhile, in order to overcome the defects, the invention also discloses a safe distance identification method applying the type analysis, which comprises the step of judging the safe distance corresponding to the nearest fish body according to the analysis result of the type of the nearest fish body in the diving scene by using the safe distance identification platform applying the type analysis.
In addition, in the secure distance identification platform for application type analysis, the data storage device may be selected as an SGRAM chip.
SGRAM is an abbreviation of Synchronous Graphics DRAM, and means that Synchronous Graphics RAM is a video memory specially designed for a video card, is a video memory with stronger Graphics read-write capability, and is formed by improving SDRAM. The method improves the defect of low video memory transmission rate of low performance in the past, and creates conditions for improving the performance of the display card. The SGRAM reads and writes data not one by one, but uses a Block as a unit, thereby reducing the times of reading and writing the whole memory and improving the efficiency of a graphic controller. But the design and manufacturing cost is higher, and more, the display card is applied to higher-end display cards at that time. At present, such a video memory is not adopted by manufacturers and is replaced by a DDR video memory. SDRAM, Synchronous dynamic random access memory DRAM (SDRAM), was once the most widely used memory type in PC computers, and even today SDRAM still has a place in the market. Since it is a "synchronous dynamic random access memory," it means that its operating speed is synchronized with the system bus speed. The SDRAM memory is divided into different specifications of PC66, PC100, PC133, etc., and the number following the specification represents the maximum normal operating system bus speed of the memory, such as PC100, which means that the memory can operate synchronously in a computer with a system bus of 100 MHz. Synchronous with the system bus speed, namely synchronous with the system clock, thus avoiding unnecessary waiting period and reducing data storage time. Synchronization also allows the memory controller to know during which clock period the data is being requested and therefore the data can begin to be transferred during the pulse rise period. SDRAM uses 3.3 volt working voltage, 168Pin DIMM interface, and the bandwidth is 64 bits. SDRAM is not only used in memories, but also in video memories. SDRAM can work with CPU synchronization, does not have the latency cycle, reduces data transmission delay.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A safe distance identification platform applying category analysis, the platform comprising:
the diving wearing mechanism is used for a diver to wear underwater and comprises a waterproof mask, spread spectrum communication equipment and a top platform, wherein a top head is positioned above the waterproof mask and arranged above the head of the diver, and the spread spectrum communication equipment is in wireless communication with other spread spectrum communication equipment in a communication range of the spread spectrum communication equipment;
the lamplight illumination equipment is embedded at the front end of the top platform and is used for executing lamplight illumination operation on an underwater environment in front of the diver;
the real-time video recording mechanism is arranged on the right side of the lamplight illumination equipment and is used for executing real-time video recording operation on an underwater environment in front of a diver so as to obtain a real-time video recording frame corresponding to the current moment;
local enhancement equipment, which is connected with the instant video recording mechanism and is used for executing histogram equalization processing on the received instant video recording frame so as to realize contrast enhancement operation of a part of image areas in the instant video recording frame without influencing the overall contrast of the instant video recording frame and obtain and output a corresponding local enhancement image;
the object searching mechanism is connected with the local enhancement equipment and used for searching the nearest fish body target in the local enhancement equipment as a reference fish body target;
the data storage device is used for pre-storing the reference outline of various fish bodies which cause damage to divers;
the danger detection device is respectively connected with the object searching mechanism and the data storage device and is used for judging that the reference fish body target is a threat fish body target when the similarity percentage of the reference fish body target and the reference outline of a fish body causing harm to divers exceeds the limit, otherwise, judging that the reference fish body target is a safe fish body target;
when the reference fish body target is judged to be a threat fish body target, the danger detection equipment generates a danger alarm signal and sends out a safety distance of the fish body type corresponding to the threat fish body target;
wherein, the safe distance of the fish body type corresponding to the fish body threatening target is that the fish threatening target can hurt the diver when the diver is out of the safe distance.
2. The secure distance identification platform applying category analysis of claim 1, wherein:
in the object search mechanism, searching for a nearest fish body target in the local enhancing apparatus as a reference fish body target includes: and taking the fish body target with the shallowest imaging depth of field in the local enhancement equipment as a reference fish body target.
3. The secure distance identification platform applying category analysis of claim 2, wherein:
and when the reference fish body target is judged to be the safe fish body target, the danger detection equipment generates a danger relieving signal.
4. A safe distance identification platform applying category analysis according to claim 3, characterized in that:
the local augmentation device, the object search mechanism, the hazard detection device, and the data storage device are packaged in the same watertight instrument case.
5. The secure distance identification platform applying class analysis of claim 4, wherein said platform further comprises:
and the voice receiving chip is arranged on the left side of the local enhancement equipment, is connected with the local enhancement equipment and is used for receiving a voice control signal input by a user and applied to the local enhancement equipment.
6. The secure distance identification platform applying class analysis of claim 5, wherein the platform further comprises:
and the data conversion chip is connected with the voice receiving chip and used for carrying out voice content analysis on the received voice control signal so as to convert the voice control signal into a corresponding field control instruction.
7. The secure distance identification platform applying category analysis of claim 6, wherein:
the voice receiving chip is also connected with the object searching mechanism and used for receiving a voice control signal input by a user and applied to the object searching mechanism.
8. The secure distance identification platform applying category analysis of claim 7, wherein:
the object search mechanism is also internally provided with a memory for temporarily storing an output signal of the object search mechanism and an input signal of the object search mechanism;
the object searching mechanism consists of three programmable logic devices and is used for respectively realizing different functions of the object searching mechanism;
in the object searching mechanism, three programmable logic devices respectively realize the data receiving function, the data processing function and the data output function of the object searching mechanism.
9. The secure distance identification platform applying class analysis of claim 8, wherein said platform further comprises:
and the real-time timing mechanism is respectively connected with the local enhancement equipment and the object searching mechanism and is used for respectively providing timing reference signals for the local enhancement equipment and the object searching mechanism.
10. A safe distance identification method applying species analysis, the method comprising using a safe distance identification platform applying species analysis according to any one of claims 1-9 to determine a safe distance corresponding to a nearest fish body based on an analysis result of the nearest fish body type within a diving scene.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010714969.0A CN111824371A (en) | 2020-07-23 | 2020-07-23 | Safety distance identification platform and method applying type analysis |
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| CN202010714969.0A CN111824371A (en) | 2020-07-23 | 2020-07-23 | Safety distance identification platform and method applying type analysis |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113869149A (en) * | 2021-09-13 | 2021-12-31 | 泰州蝶金软件有限公司 | Big data application node service system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008265527A (en) * | 2007-04-20 | 2008-11-06 | Seiko Epson Corp | Information processing device for diver, and control method and control program for the same |
| US20130311075A1 (en) * | 2012-05-18 | 2013-11-21 | Continental Automotive Systems, Inc. | Motorcycle and helmet providing advance driver assistance |
| CN105069414A (en) * | 2015-07-25 | 2015-11-18 | 张丽 | Diver special fish identification system based on data communication |
| CN105182443A (en) * | 2015-07-25 | 2015-12-23 | 张磊 | Method for catching fish body in oriented manner |
| CN107273881A (en) * | 2017-08-22 | 2017-10-20 | 深圳普思英察科技有限公司 | A kind of anti-terrorism SEEK BUS, wearable device and virtual reality detection system |
| CN206939021U (en) * | 2017-07-27 | 2018-01-30 | 东莞爱乐玛实业有限公司 | A kind of water-bed mask with illumination functions |
| CN108038459A (en) * | 2017-12-20 | 2018-05-15 | 深圳先进技术研究院 | A kind of detection recognition method of aquatic organism, terminal device and storage medium |
| CN109104572A (en) * | 2018-09-07 | 2018-12-28 | 北京金茂绿建科技有限公司 | A kind of helmet |
| CN109430984A (en) * | 2018-12-12 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of image conversion intelligent and safe helmet suitable for electric power place |
| US20190294966A1 (en) * | 2018-03-26 | 2019-09-26 | Cohda Wireless Pty Ltd. | Systems and methods for automatically training neural networks |
| CN110400442A (en) * | 2019-06-19 | 2019-11-01 | 河北贵能新能源科技有限公司 | Solar energy safety cap and its alarm method |
-
2020
- 2020-07-23 CN CN202010714969.0A patent/CN111824371A/en not_active Withdrawn
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008265527A (en) * | 2007-04-20 | 2008-11-06 | Seiko Epson Corp | Information processing device for diver, and control method and control program for the same |
| US20130311075A1 (en) * | 2012-05-18 | 2013-11-21 | Continental Automotive Systems, Inc. | Motorcycle and helmet providing advance driver assistance |
| CN105069414A (en) * | 2015-07-25 | 2015-11-18 | 张丽 | Diver special fish identification system based on data communication |
| CN105182443A (en) * | 2015-07-25 | 2015-12-23 | 张磊 | Method for catching fish body in oriented manner |
| CN206939021U (en) * | 2017-07-27 | 2018-01-30 | 东莞爱乐玛实业有限公司 | A kind of water-bed mask with illumination functions |
| CN107273881A (en) * | 2017-08-22 | 2017-10-20 | 深圳普思英察科技有限公司 | A kind of anti-terrorism SEEK BUS, wearable device and virtual reality detection system |
| CN108038459A (en) * | 2017-12-20 | 2018-05-15 | 深圳先进技术研究院 | A kind of detection recognition method of aquatic organism, terminal device and storage medium |
| US20190294966A1 (en) * | 2018-03-26 | 2019-09-26 | Cohda Wireless Pty Ltd. | Systems and methods for automatically training neural networks |
| CN109104572A (en) * | 2018-09-07 | 2018-12-28 | 北京金茂绿建科技有限公司 | A kind of helmet |
| CN109430984A (en) * | 2018-12-12 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of image conversion intelligent and safe helmet suitable for electric power place |
| CN110400442A (en) * | 2019-06-19 | 2019-11-01 | 河北贵能新能源科技有限公司 | Solar energy safety cap and its alarm method |
Non-Patent Citations (1)
| Title |
|---|
| 韦康博: "《人工智能 比你想象的更具颠覆性的智能革命》", 30 September 2016 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113869149A (en) * | 2021-09-13 | 2021-12-31 | 泰州蝶金软件有限公司 | Big data application node service system |
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| Motani | Rulers of the Jurassic Seas: Vertebrate Paleontology and Evolution. RL Carroll. Freeman, San Francisco, 1987. Dinosaurs, Spitfires, and Sea Dragons. Christopher McGowan. Harvard University Press, 1991. Eel-like Swimming in the Earliest Ichthyosaurs. Ryosuke Motani, You Hailu and Christopher McGowan in Nature, Vol. 382, pages 347–348; July 25, 1996. Ichthyosaurian Relationships Illuminated by New Primitive Skeletons from Japan. Ryosuke Motani, Nachio Minoura and Tatsuro Ando in Nature, Vol. 393, pages 255–257; May 21, 1998. Large Eyeballs in Diving Ichthyosaurs. Ryosuke Motani, Bruce M. Rothschild and William Wahl, Jr., in Nature, Vol. 402, page 747; December 16, 1999. Ryosuke Motani’s Web site: www. ucmp. berkeley. edu/people/motani/ichthyo | |
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Application publication date: 20201027 |