CN113255705B - Intelligent identification device for protective color animal - Google Patents
Intelligent identification device for protective color animal Download PDFInfo
- Publication number
- CN113255705B CN113255705B CN202110798574.8A CN202110798574A CN113255705B CN 113255705 B CN113255705 B CN 113255705B CN 202110798574 A CN202110798574 A CN 202110798574A CN 113255705 B CN113255705 B CN 113255705B
- Authority
- CN
- China
- Prior art keywords
- animal
- module
- color
- control module
- information
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses an intelligent identification device for protective color animals, which can judge whether the protective color animals exist in the surrounding environment and can realize the accurate identification of the protective color animals in the surrounding environment, and comprises an image acquisition module, a control module, a communication module, a power supply module and a positioning module, wherein the image acquisition module is connected with the control module, the control module is connected with external terminal equipment through the communication module, the image acquisition module comprises an infrared camera and a visible light camera, the positioning module, the infrared camera and the visible light camera are all connected with the control module, and the identification method for the protective color animals comprises the following steps: the infrared camera is used for collecting thermal imaging information of the surrounding environment, the visible light camera is used for collecting image information of the surrounding environment, the positioning module is used for positioning the shooting position of the image collecting module, the control module is used for processing and judging the thermal imaging information and the image information, and the communication module is used for sending the position information and the recognition result to the external terminal equipment.
Description
Technical Field
The invention relates to the technical field of animal intelligent recognition devices, in particular to an animal intelligent recognition device with a protective color.
Background
The animal protection color is a camouflage which is similar to the surrounding environment and is not easy to be identified under the condition of natural law selection in order that animals can better avoid natural enemies or cannot be found by preys in the survival competition. In nature, animals with the characteristic of protective color are very common, such as lions and lizards in deserts, which have yellowish "desert color"; white polar bear and petrel in polar region; withered leaf butterfly, caterpillar, etc. in the forest. If people are in the environments, the animals are difficult to identify only by naked eyes, which brings certain influence to scientific research or personal safety of people.
In order to enhance the research of zoology, especially the field animal research and the personal safety protection, researchers in animal science often use intelligent detection equipment to detect animals in a certain area, and an image sensor, a biosensor, an integrated communication chip and the like are embedded in an intelligent detection device. The image sensor is used for collecting image information of the animal, and the image information is processed and analyzed to realize animal species identification. However, the detection device commonly used in the prior art can generally realize species identification with more prominent colors, and when an animal has a protective color, it is impossible to accurately judge whether the animal with the protective color exists in the shot image, and it is also impossible to identify the animal with the protective color from a complex background image, which affects the accuracy of animal species identification.
Disclosure of Invention
The invention provides an intelligent identification device for animals with protective colors, which can judge whether the animals with the protective colors exist in the surrounding environment or not and can realize the accurate identification of the animals with the protective colors in the surrounding environment, aiming at the problems that the animals with the protective colors are difficult to identify only by naked eyes in the prior art and the existing detection equipment has poor identification accuracy on the animals with the protective colors.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent identification device for protective color animals comprises an image acquisition module, a control module, a communication module and a power supply module, wherein the image acquisition module is connected with the control module, the control module is connected with external terminal equipment through the communication module, and the power supply module is used for supplying power to the image acquisition module, the control module and the communication module; its characterized in that, it still includes orientation module, image acquisition module includes infrared camera, visible light camera, orientation module, infrared camera, visible light camera all with control module connects, infrared camera is used for gathering the infrared thermal imaging information of surrounding environment, visible light camera is used for gathering the image information of surrounding environment, orientation module is used for acquireing image acquisition module's current position information, control module includes data processor, data processor is used for right infrared thermal imaging information, image information handle.
It is further characterized in that the method further comprises the steps of,
the control module comprises a storage unit, and the storage unit is used for storing set related parameters;
the relevant parameters comprise the scanning range and the angle of the image acquisition module;
the external terminal equipment comprises an OLED display screen or a human-computer interaction interface;
the power module comprises a power adapter and a power management unit, wherein the power management unit is used for boosting or reducing the voltage of the battery.
A protective color animal identification method based on the identification device is characterized by comprising the following steps: s1, collecting thermal imaging information of the surrounding environment through the infrared camera and sending the thermal imaging information to the control module;
s2, collecting image information of the surrounding environment through the visible light camera, and sending the image information to the control module;
s3, the shooting position of the image acquisition module is positioned through the positioning module, and position information is obtained and sent to the control module;
s4, processing and judging the thermal imaging information and the image information through a control module;
s41, judging whether animals or organisms exist in the surrounding environment through the thermal imaging information;
s42, judging whether the surrounding environment has protective color animals or not through the image information;
s43, identifying the type of the protective color animal based on the thermal imaging information and the image information;
s5, sending the position information, the judgment result of whether an animal or a living being exists, the judgment result of whether an animal having a protective color exists, and the result of identifying the type of the animal to the external terminal device through the communication module.
In step S41, processing the thermal imaging information to extract contour features of the animal or the living being, and if the contour of the animal or the living being can be obtained through the infrared thermal imaging information, it indicates that the animal or the living being exists in the surrounding environment, otherwise, the animal or the living being does not exist;
in step S42, processing the image information, extracting animal color features and ambient environment color features within the contour range, wherein if the animal color features are similar to the ambient environment color features, it indicates that an animal or a living being with a protective color exists in the ambient environment, otherwise, the animal or the living being does not exist;
in step S43, the type of animal or living being is identified based on the color feature.
By adopting the structure of the invention, the following beneficial effects can be achieved: this device includes orientation module, infrared camera, visible light camera, and orientation module, infrared camera, visible light camera all are connected with control module, through this detection device scanning surrounding environment, gather the infrared thermal imaging information, image information, the positional information of animal respectively through infrared camera, visible light camera, orientation module to send for control module, thereby realized the real-time collection of animal thermal imaging information, image information, positional information.
The control module comprises a data processor, the infrared thermal imaging information and the image information are processed through the data processor, and according to a processing result, whether animals or organisms exist in the surrounding environment or not, whether protective color animals or organisms exist or not and the type of the protective color animals are accurately judged. Compared with the existing mode of artificial naked eye identification, the mode of identification through the intelligent identification device and the intelligent identification method is simpler and faster, the subjective activity influence is reduced, and the accuracy of identification of the protection color animal is improved.
Control module passes through communication module and is connected with external terminal equipment, therefore, can be with the regional positional information who has the protection color animal through communication module, whether have the recognition result that animal or living beings exist, the kind information transmission of protection color animal gives external terminal equipment, scientific research personnel or field work personnel obtain relevant information through external terminal equipment is long-range, thereby realized the real-time detection of protection color animal in the surrounding environment, compare in staff to the mode of witnessed inspections, this detection mode is simple more swift, security and detection efficiency have been improved.
Drawings
FIG. 1 is a block diagram of the system architecture of the present invention;
FIG. 2 is a flow chart of a protective color animal identification method of the present invention;
FIG. 3 is a schematic circuit diagram of the connection of an infrared camera and an MCU main controller;
FIG. 4 is a schematic circuit diagram of the visible light camera and MCU master control connection;
FIG. 5 is a schematic circuit diagram of the GPS positioning device connected to the MCU master controller;
FIG. 6a is a schematic diagram of the interface circuit of U6A in the MCU master controller and its peripheral circuits;
FIG. 6b is a schematic diagram of the interface circuit of U6B in the MCU master controller and its peripheral circuits;
FIG. 6c is a schematic diagram of the interface circuit of U6C in the MCU master controller and its peripheral circuits;
FIG. 6d is a schematic diagram of a part of peripheral circuits in the MCU master controller;
fig. 7 is a schematic circuit diagram of the connector J2.
Detailed Description
See fig. 1, a protection look animal intelligent recognition device, it includes image acquisition module 1, control module 2, communication module 3, power module, orientation module 5, image acquisition module 1 includes infrared camera 11, visible light camera 12, orientation module 5, infrared camera 11, visible light camera 12 all are connected with control module 2, control module 2 passes through communication module 3 and is connected with external terminal equipment 6, external terminal equipment 6 includes OLED display screen or human-computer interaction interface. The power supply module is used for supplying power to the image acquisition module 1, the control module 2 and the communication module 3; the model of the infrared camera 11 is MLX90640 and is used for collecting infrared thermal imaging information of the surrounding environment, the model of the visible light camera 12 is OV7725 and is used for collecting image information of the surrounding environment, the positioning module 5 is used for acquiring current position information of the image collecting module 1, the control module 2 comprises a data processor 21, the data processor 21 is used for processing the infrared thermal imaging information and the image information, and the positioning module 5 comprises a GPS positioning device. The control module 2 comprises an MCU main controller, the model of the MCU main controller is STM32H743, and the MCU main controller comprises an MCU main controller U6A, U6B and U6C.
See fig. 3, infrared camera U3 is connected with the MCU main controller through infrared camera connecting circuit, and infrared camera connecting circuit includes electric capacity C51, C52, resistance R51, R52, and infrared camera U3's 1, 4 pins are connected 136, 137 pins of the MCU main controller respectively.
Referring to fig. 4, the visible light camera U1 is connected with the MCU main controller through a visible light camera connection circuit, the visible light camera connection circuit includes capacitors C71-C79 and resistors R71-R75, pins a5 and B5 of the visible light camera U1 are connected with pins 139 and 140 of the MCU main controller, and pins F5, F2, D6, D1, E6, E1, F6 and F1 are respectively connected with pins 96, 97, 125, 126, 3, 117, 4 and 5 of the MCU main controller.
See fig. 5, the GPS positioning device U4 is connected with the MCU main controller through a GPS positioning device connection circuit, pins 20 and 21 of the GPS positioning device U4 are connected with pins 102 and 101 of the MCU main controller through resistors R63 and R64, respectively, pin 3 of the GPS positioning device U4 is connected with pin 103 of the MCU main controller, and the GPS positioning device connection circuit further includes resistors R61 to R66, an antenna, an inductor L62, and a light emitting diode D1.
Fig. 6a, 6b, 6C, and 6d are schematic circuit diagrams of MCU master controllers U6A, U6B, U6C and peripheral circuits thereof, the peripheral circuits include crystal oscillators X1, X2, capacitors C20 to C42, resistors R27 to R36, and the connector J2 in fig. 7 is used for connecting external devices.
The power module comprises a power adapter and a power management unit, wherein the power adapter is a 220V-to-24V adapter in the embodiment, the power management unit is used for managing and controlling a power system of the whole identification device, 24V voltage output by the adapter is converted into 5V voltage through the power management unit, the power management unit comprises a voltage regulation chip LT8610, and the voltage regulation chip is used for boosting or reducing the voltage of the power voltage to enable each module and unit in the equipment to obtain corresponding working voltage.
Referring to fig. 2, the identification device is applied to identification of protected color animals, and the specific identification steps comprise: the surrounding environment is scanned through the detection device, S1, thermal imaging information of the surrounding environment is collected through the infrared camera 11 and sent to the control module 2, and the thermal imaging information of the surrounding environment can be collected 24 hours a day by the infrared camera 11;
s2, collecting image information of the surrounding environment through the visible light camera 12, and sending the image information to the control module 2; the visible light camera is a high-definition camera, captures a reflected light signal of the surrounding environment through the high-definition camera, and acquires image information according to the reflected light signal;
s3, positioning the shooting positions of the infrared camera 11 and the visible light camera 12 through the GPS positioning device in the positioning module 5, acquiring position information and sending the position information to the control module 2; the GPS positioning module can realize continuous and real-time three-dimensional positioning and speed measurement in a global range, in the application, the GPS positioning device is used for returning geographic position information of the image acquisition module 1, and when the control module 2 analyzes infrared thermal imaging information and image information, the geographic position information needs to be referred to, so that species of animals with protective colors, which do not belong to a set scanning range, are filtered, and the identification accuracy is improved;
s4, the data processor 21 in the control module 2 processes and determines the thermal imaging information and the image information, and the specific determining step includes:
s41, determining whether an animal or a living being exists in the surrounding environment through the thermal imaging information, specifically including: and processing the thermal imaging information to extract the contour characteristics of the animal or the living being, wherein if the contour of the animal or the living being can be obtained through the infrared thermal imaging information, the animal or the living being exists in the surrounding environment, and otherwise, the animal or the living being does not exist. The infrared camera mainly detects infrared specific wave band signals of object heat radiation by using a photoelectric technology, converts the signals into images which can be distinguished by human vision, and obtains the external contour of an animal or a living being through thermal imaging images;
s42, determining whether there is a color-protected animal in the surrounding environment through the image information, specifically including: s421, preprocessing the image in the outline range and the image of the environment around the outline, wherein the preprocessing method comprises the following steps: noise filtering, gray level equalization, and noise filtering and gray level equalization are sequentially performed; s422, respectively carrying out gray processing on RGB components of each pixel in the preprocessed image in the contour range and the image in the surrounding environment of the contour, acquiring an RGB gray map, extracting gray values, and generating an RGB histogram; s423, comparing the RGB histogram of the image in the contour range with the RGB histogram of the image of the surrounding environment of the contour, wherein if the gray value characteristics of the two are the same or similar, the surrounding environment is indicated to have animals or organisms with protective colors, otherwise, the surrounding environment is not present;
s43, identifying the type of the animal or the living being based on the color characteristics, specifically comprising: s431, preprocessing the image in the outline range, namely sequentially performing background segmentation, image binarization, noise removal and automatic filling preprocessing on the image in the outline range; s432, performing color space conversion on the image in the contour range, and converting RGB color components into HSV color components; s433, extracting H components, S components and V components of the HSV color image and generating color histograms of the components; s434, constructing low-order statistical matrix data according to the color histograms of the components, and taking the low-order statistical matrix data as color feature descriptors; and S435, finally, carrying out cluster analysis on the color feature descriptors through the conventional K-mean clustering algorithm, and judging the category of the obtained image, thereby realizing the identification of the animal or biological species.
S5, the position information, the judgment result of whether the animal exists, the judgment result of whether the animal has the protective color or not and the animal type identification result are sent to external terminal equipment through the communication module, and a user obtains the positioning data and the identification result through an OLED display screen or a human-computer interaction interface. The user can realize the operations of input, display and the like through the human-computer interaction interface, and compared with the existing button type or networking interaction mode, the human-computer interaction interface mode has better operation efficiency and response efficiency.
When scientific research personnel or field workers need to acquire the condition of the protective color animal in a certain area, the animal identification device integrated with the identification device and the identification method can be installed in the area for real-time monitoring, a user can remotely acquire the current shot position information through a computer, judge whether the animal exists or not and identify the animal type, so that the real-time detection of the protective color animal in the surrounding environment is realized, compared with the mode from the workers to the field detection, the detection mode is simpler and faster, and the detection efficiency is improved.
The above is only a preferred embodiment of the present application, and the present invention is not limited to the above embodiments. It is to be understood that other modifications and variations directly derived or suggested to those skilled in the art without departing from the spirit and scope of the invention are to be considered as included within the scope of the invention.
Claims (3)
1. An intelligent identification device for protective color animals comprises an image acquisition module, a control module, a communication module and a power supply module, wherein the image acquisition module is connected with the control module, the control module is connected with external terminal equipment through the communication module, and the power supply module is used for supplying power to the image acquisition module, the control module and the communication module; the infrared thermal imaging system is characterized by further comprising a positioning module, wherein the image acquisition module comprises an infrared camera and a visible light camera, the positioning module, the infrared camera and the visible light camera are all connected with the control module, the infrared camera is used for acquiring infrared thermal imaging information of the surrounding environment, the visible light camera is used for acquiring image information of the surrounding environment, the positioning module is used for acquiring current position information of the image acquisition module, the control module comprises a data processor, and the data processor is used for processing the infrared thermal imaging information and the image information; the steps of identifying the animal with the protective color based on the intelligent identification device for the animal with the protective color are as follows: s1, collecting thermal imaging information of the surrounding environment through the infrared camera and sending the thermal imaging information to the control module;
s2, collecting image information of the surrounding environment through the visible light camera, and sending the image information to the control module;
s3, the shooting position of the image acquisition module is positioned through the positioning module, and position information is obtained and sent to the control module;
s4, processing and judging the thermal imaging information and the image information through a control module, comprising:
s41, judging whether an animal or a living being exists in the surrounding environment through the thermal imaging information, wherein the judging mode comprises the following steps: processing the thermal imaging information, extracting the contour characteristics of the animal or the living being, if the contour of the animal or the living being can be obtained through the infrared thermal imaging information, indicating that the animal or the living being exists in the surrounding environment, otherwise, not existing;
s42, determining whether there is a protective color animal in the surrounding environment according to the image information, the determining method includes: processing the image information, extracting animal color features and ambient environment color features in the outline range, wherein if the animal color features are similar to the ambient environment color features, the animal or the living being with the protection color exists in the ambient environment, otherwise, the animal or the living being does not exist;
s43, identifying the type of the protective color animal based on the thermal imaging information and the color characteristics in the image information;
s5, sending the position information, the judgment result of whether an animal or a living being exists, the judgment result of whether an animal having a protective color exists, and the result of identifying the type of the animal to the external terminal device through the communication module.
2. The intelligent recognition device for the protected color animal according to claim 1, wherein the control module comprises a storage unit, and the storage unit is used for storing set related parameters; the relevant parameters include a scan range and an angle of the image acquisition module.
3. The intelligent recognition device for color-protected animals according to claim 2, wherein the external terminal device comprises an OLED display screen or a human-computer interaction interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110798574.8A CN113255705B (en) | 2021-07-15 | 2021-07-15 | Intelligent identification device for protective color animal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110798574.8A CN113255705B (en) | 2021-07-15 | 2021-07-15 | Intelligent identification device for protective color animal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113255705A CN113255705A (en) | 2021-08-13 |
| CN113255705B true CN113255705B (en) | 2021-11-05 |
Family
ID=77180361
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110798574.8A Active CN113255705B (en) | 2021-07-15 | 2021-07-15 | Intelligent identification device for protective color animal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113255705B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114397929B (en) * | 2022-01-18 | 2023-03-31 | 中山东菱威力电器有限公司 | Intelligent toilet lid control system capable of improving initial temperature of flushing water |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166841A (en) * | 2014-07-24 | 2014-11-26 | 浙江大学 | Rapid detection identification method for specified pedestrian or vehicle in video monitoring network |
| CN110378953A (en) * | 2019-07-17 | 2019-10-25 | 重庆市畜牧科学院 | A kind of method of spatial distribution behavior in intelligent recognition swinery circle |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5713790B2 (en) * | 2011-05-09 | 2015-05-07 | キヤノン株式会社 | Image processing apparatus, image processing method, and program |
| US8897554B2 (en) * | 2011-12-13 | 2014-11-25 | The Nielsen Company (Us), Llc | Video comparison using color histograms |
| CN106911914A (en) * | 2017-02-28 | 2017-06-30 | 中国科学院城市环境研究所 | Infrared thermal imaging animal activity tracing system |
| CN111025969B (en) * | 2019-12-05 | 2021-04-27 | 浙江大学 | Wild animal monitoring system and method based on information fusion |
| CN112615984B (en) * | 2020-12-11 | 2022-10-25 | 北京林业大学 | Integrated automatic wild animal image acquisition device and method |
| CN112926558B (en) * | 2021-05-12 | 2021-10-01 | 广州朗国电子科技股份有限公司 | Animal identification method and device |
-
2021
- 2021-07-15 CN CN202110798574.8A patent/CN113255705B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166841A (en) * | 2014-07-24 | 2014-11-26 | 浙江大学 | Rapid detection identification method for specified pedestrian or vehicle in video monitoring network |
| CN110378953A (en) * | 2019-07-17 | 2019-10-25 | 重庆市畜牧科学院 | A kind of method of spatial distribution behavior in intelligent recognition swinery circle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113255705A (en) | 2021-08-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102759528B (en) | Method for detecting diseases of crop leaves | |
| KR101832724B1 (en) | System and method for diagnosing crop through the video image | |
| CN106874871B (en) | Living body face double-camera identification method and identification device | |
| CN102509100B (en) | Knife switch connecting-disconnecting reliability recognition method based on image pattern recognition | |
| CN101006923A (en) | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method | |
| CN105866118B (en) | A kind of animal excrements composition detection system and method | |
| CN113255705B (en) | Intelligent identification device for protective color animal | |
| CN208061218U (en) | A kind of recognition of face mobile terminal device | |
| CN103605961A (en) | Fingerprint and iris integration identification device | |
| CN112514779A (en) | Intelligent irrigation system | |
| CN207940236U (en) | Shoal of fish automatic health detects and archive management device | |
| Abdullakasım et al. | An images analysis technique for recognition of brown leaf spot disease in cassava | |
| CN208335212U (en) | A kind of recognition of face image capture device | |
| CN114898405A (en) | Portable broiler chicken abnormity monitoring system based on edge calculation | |
| CN109581897A (en) | A kind of agricultural greenhouse Data Management Analysis system based on Internet of Things | |
| Hu et al. | Agricultural robot for intelligent detection of pyralidae insects | |
| CN205691511U (en) | A kind of animal excrements composition detection system | |
| CN209192258U (en) | A kind of unmanned plane polyphaser carry device | |
| CN108090910A (en) | It is a kind of that tomato plant image segmentation algorithm outside the night room of PCNN models is simplified based on comentropy gradient | |
| CN111462869A (en) | Multifunctional head image diagnosis and treatment system and method for neonate clinic | |
| CN212112506U (en) | Biometric identification device | |
| CN206147768U (en) | Integrative attendance system based on biometric feature recognition | |
| US20210110539A1 (en) | Optical imaging system and related apparatus, method and computer program | |
| CN109754003B (en) | Intelligent robot vision technology application detection system and method based on deep learning | |
| Wu et al. | Field crop extraction based on machine vision |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |