WO2024049376A1 - Drone fish detection system and algorithm - Google Patents
Drone fish detection system and algorithm Download PDFInfo
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- WO2024049376A1 WO2024049376A1 PCT/TR2023/050097 TR2023050097W WO2024049376A1 WO 2024049376 A1 WO2024049376 A1 WO 2024049376A1 TR 2023050097 W TR2023050097 W TR 2023050097W WO 2024049376 A1 WO2024049376 A1 WO 2024049376A1
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- WIPO (PCT)
- Prior art keywords
- data
- drone
- module
- artificial intelligence
- fish
- Prior art date
Links
- 241000251468 Actinopterygii Species 0.000 title claims abstract description 32
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 12
- 244000144980 herd Species 0.000 claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 6
- 244000144992 flock Species 0.000 claims abstract description 6
- 230000010354 integration Effects 0.000 claims abstract description 6
- 238000012546 transfer Methods 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims abstract 2
- 238000002156 mixing Methods 0.000 claims abstract 2
- 230000007613 environmental effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/86—Combinations of sonar systems with lidar systems; Combinations of sonar systems with systems not using wave reflection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/88—Sonar systems specially adapted for specific applications
- G01S15/96—Sonar systems specially adapted for specific applications for locating fish
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U10/00—Type of UAV
- B64U10/10—Rotorcrafts
- B64U10/13—Flying platforms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
- B64U2101/30—UAVs specially adapted for particular uses or applications for imaging, photography or videography
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U50/00—Propulsion; Power supply
- B64U50/30—Supply or distribution of electrical power
- B64U50/31—Supply or distribution of electrical power generated by photovoltaics
Definitions
- This invention is related to the artificial intelligence-based drone fish detection system and algorithm, which provides detailed detection of fish herds, etc. marine creatures by means of drones.
- Fish finders used in the current system transmit the electrical signal to the mirrors in order to create a sound wave.
- the wave is reflected back, and it is possible to interpret the underwater by converting it into an electrical signal.
- the patent application US20130085630 describes a “Fishfinder Data Display Device, Fishfinder Device, Method of Specifying Destination and Computer Readable Media”.
- the present invention includes a memory for storing the data obtained by the fish finder, and a display device containing the location information from which the data is received, a display unit, a controller for reading the position and autopilot operation.
- the patent application CN110476860 describes a “Drone-Based Feeding System and Method”.
- the present invention consists of a swarm detection device, a feeding drone and a cloud server.
- the system that is the subject of the invention It provides monitoring of the fish flock and feeding it with a feeding drone.
- the patent application TR201704522 describes a “Portable Fish Detector”.
- the present invention deals with the portable fish detection device that detects the fish species, size, toxicity and prohibition status and informs the user on the visual screen.
- This invention is a drone fish detection system and algorithm, and its feature is; Provides detailed detection of herds of fish, etc., by means of drones, provides high-performance, high-resolution images, has high accuracy, does not suffer from errors and performance reductions due to environmental factors, has high efficiency, low cost, simple, gives results without being affected by the characteristics of water and watercraft, It is a new technology based on artificial intelligence.
- the invention in order to realize all the objectives mentioned above and which will emerge from the detailed description below; It enables the detection of fish herds or similar objects through drones in which camera and sensor systems are integrated.
- the inventive system it is aimed to detect fish herds or similar objects in detail by processing the data obtained from the camera systems in autonomously flying drones through artificial intelligence algorithms and using the data obtained from the sensor system.
- Image data of the water surface or underwater are obtained through the camera system included in the invention.
- all data sets including camera data, location data, route data, etc., are stored in a database that is constantly updated.
- the subject of the invention is not affected by the surrounding obstacles by covering both the drone and the drone propellers with a special light system in the system.
- the invention allows the location data of fish herds or similar objects to be detected and allows the routes of sailors, fishermen, etc. to be created in advance.
- Figure 1 A view of drone and mobile device interaction.
- Figure 2 A modular view of the drone system.
- Figure 3 A structural view of the drone system.
- the invention is based on the fact that solar powered propellers provision of automatic flight (10), obtaining the data (20), obtain location data by means of obtaining the data (20), receipt of records (30) via the camera, control the operation of the control(40), unit transferring the data to transfer to the artificial intelligence module (50), analyzing the data transferred in the data analysis (60), processing the image data with processing with image processing techniques (70), obtaining the final detection data (80), updating (90) processing steps.
- the propellers positioned around the drone operate with solar energy through the panels on it, allowing the drone to provision of automatic flight (10).
- both the drone and the propeller are obtaining the data (20) such as photolumine scent in order to create an environmental perception and ensure that the system is affected by environmental obstacles in the least possible way.
- data such as distance, location, direction, distance, etc.
- a sensor system such as ultrasonic and/or radar, etc.
- waves that vary according to the sensor system used, such as sound waves and/or electromagnetic waves obtaining the data (20).
- receipt of records (30) of the water surface or underwater are taken by means of the camera system working in connection with the artificial intelligence module.
- the image data obtained with the camera system and the sensor data obtained with the sensor system are transferred to the artificial intelligence module through the transfer to the artificial intelligence module (50).
- the data obtained through the camera system and integrated into the artificial intelligence module are analyzed in the data analysis (60) before data processing.
- image data is processing with image processing techniques (70) in the data processing module of the artificial intelligence module in order to calculate specific data such as the type, size and amount of sea creatures such as fish .
- a subject in the system of the Invention Artificial Intelligence in drone detection module sensor system integrated in the module data obtained through the location, direction, distance, distance, etc and the data processing module of the data obtained in the type, size, quantity, such as specific data into a mixture of swarms of fish, of living etc obtaining the final detection data (80).
- the raw image data obtained from the database contained in the artificial intelligence module in the invention subject system, the processed data processed in the data processing module, the fish obtained through the sensor, etc. the position, direction, distance, distance, coordinates, etc. belonging to living beings, the data, the drone route map data, the final result data obtained in the data detection module are continuously transferred and continuously updating (90) with the integration of all new and old data sets.
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
Abstract
This invention is related to the artificial intelligence-based drone fish detection system and algorithm, which provides detailed detection of fish herds, etc. marine creatures by means of drones and its feature is; the propellers positioned around the drone are powered by solar energy to provision of automatic flight (10), obtaining the data (20) about the location, direction, distance, distance, etc. of fish flocks, sea creatures, etc., by means of a sensor, such as ultrasonic and/or radar, etc. integrated into the drone, receipt of records (30) of fish herds etc. via the camera integrated into the drone, control (40) unit integrated into the drone controls the operation of the drone and the modules integrated into the drone, transfer to the Artificial Intelligence Module (50) integrated into the drone via the data integration module, analysis of the data transferred in the data analysis (60) module in the artificial intelligence module, processing with image processing techniques (70) in the data processing module in the artificial intelligence module obtaining the final detection data (80) of fish flocks, etc., by blending the image and sensor data in the data detection module in the artificial intelligence module and continuous updating (90) of the database in the artificial intelligence module with the integration of all new and old data sets includes the process steps.
Description
DRONE FISH DETECTION SYSTEM AND ALGORITHM
Technical Field:
This invention is related to the artificial intelligence-based drone fish detection system and algorithm, which provides detailed detection of fish herds, etc. marine creatures by means of drones.
State of the Art:
Various techniques are used to detect fish today. With the development of technology, these techniques have been automated to make human life easier. The fish finders used in the current system enable the monitoring of the points where the fish are concentrated with the sound frequencies.
In order to get high efficiency from fish finders, it is necessary to fulfill many different criteria. The performance of fish finders varies depending on the salt content of the sea, its depth, wave condition, degree of turbidity, etc., the structure of the boat, the type of mirror to be connected, the power of the mirror, the way and size of the mirror attachment. For example, if a recessed mirror is to be used, costly and damaging applications such as drilling the bottom of the boat must be carried out.
Fish finders used in the current system transmit the electrical signal to the mirrors in order to create a sound wave. When the sound waves sent by the mirrors hit any object, the wave is reflected back, and it is possible to interpret the underwater by converting it into an electrical signal.
The patent application US20130085630 describes a “Fishfinder Data Display Device, Fishfinder Device, Method of Specifying Destination and Computer Readable Media”. The present invention includes a memory for storing the data obtained by the fish finder,
and a display device containing the location information from which the data is received, a display unit, a controller for reading the position and autopilot operation.
The patent application CN110476860 describes a “Drone-Based Feeding System and Method”. The present invention; It consists of a swarm detection device, a feeding drone and a cloud server. The system that is the subject of the invention; It provides monitoring of the fish flock and feeding it with a feeding drone.
The patent application TR201704522 describes a “Portable Fish Detector”. The present invention; It deals with the portable fish detection device that detects the fish species, size, toxicity and prohibition status and informs the user on the visual screen.
There are no artificial intelligence-based systems in existing systems. In this respect, decision-making mechanisms remain primitive because they have not developed.
As a result, high efficiency, low cost, simple, high-performance, high-accuracy, high- resolution images that can overcome the above-mentioned disadvantages and enable detailed detection of sea creatures such as fish flocks, high-resolution images due to environmental factors, high efficiency, low cost, there is a need for a new artificial intelligence-based technology that gives results without being affected by the features of the vehicle.
Description of the Invention:
This invention is a drone fish detection system and algorithm, and its feature is; Provides detailed detection of herds of fish, etc., by means of drones, provides high-performance, high-resolution images, has high accuracy, does not suffer from errors and performance reductions due to environmental factors, has high efficiency, low cost, simple, gives results without being affected by the characteristics of water and watercraft, It is a new technology based on artificial intelligence.
The invention in order to realize all the objectives mentioned above and which will emerge from the detailed description below; It enables the detection of fish herds or similar objects through drones in which camera and sensor systems are integrated.
In the inventive system, it is aimed to detect fish herds or similar objects in detail by processing the data obtained from the camera systems in autonomously flying drones through artificial intelligence algorithms and using the data obtained from the sensor system.
Image data of the water surface or underwater are obtained through the camera system included in the invention.
Detailed location data of fish herds or similar objects are obtained through the location and distance sensors included in the invention.
By means of artificial intelligence algorithms included in the invention, data are processed and fish herds or similar objects are detected.
In the system subject to the invention, all data sets, including camera data, location data, route data, etc., are stored in a database that is constantly updated.
The subject of the invention is not affected by the surrounding obstacles by covering both the drone and the drone propellers with a special light system in the system.
The invention allows the location data of fish herds or similar objects to be detected and allows the routes of sailors, fishermen, etc. to be created in advance.
The characteristic features of the products of the invention and the advantages outlined below and all structural shapes, and these shapes by making references to the detailed written description will be understood more clearly and, therefore, must be made in consideration of the evaluation of these figures and detailed description.
Description of the Figures:
The invention will be described with reference to the accompanying figures, so that the features of the invention will be more clearly understood and appreciated, but the purpose of this is not to limit the invention to these certain regulations. On the contrary, it is intended to cover all alternatives, changes and equivalences that can be included in the area of the invention defined by the accompanying claims. The details shown should be understood that they are shown only for the purpose of describing the preferred embodiments of the present invention and are presented in order to provide the most convenient and easily understandable description of both the shaping of methods and the rules and conceptual features of the invention. In these drawings.
Figure 1 A view of drone and mobile device interaction.
Figure 2 A modular view of the drone system.
Figure 3 A structural view of the drone system.
The figures to help understand the present invention are numbered as indicated in the attached image and are given below along with their names.
Description of References:
10. Provision of Automatic Flight
20. Obtaining the Data
30. Receipt of Records
40. Control
50. Transfer to the Artificial Intelligence Module
60. Data Analysis
70. Processing with Image Processing Techniques
80. Obtaining the Final Detection Data
90. Updating
Detailed Description of The Invention:
The invention is based on the fact that solar powered propellers provision of automatic flight (10), obtaining the data (20), obtain location data by means of obtaining the data (20), receipt of records (30) via the camera, control the operation of the control(40), unit transferring the data to transfer to the artificial intelligence module (50), analyzing the data transferred in the data analysis (60), processing the image data with processing with image processing techniques (70), obtaining the final detection data (80), updating (90) processing steps.
In the system of the invention, the propellers positioned around the drone operate with solar energy through the panels on it, allowing the drone to provision of automatic flight (10).
In the system subject to the invention, both the drone and the propeller are obtaining the data (20) such as photolumine scent in order to create an environmental perception and ensure that the system is affected by environmental obstacles in the least possible way.
In the system subject to the invention, data such as distance, location, direction, distance, etc., are obtained by means of a sensor system, such as ultrasonic and/or radar, etc., by means of waves that vary according to the sensor system used, such as sound waves and/or electromagnetic waves obtaining the data (20).
In the system that is the subject of the invention, receipt of records (30) of the water surface or underwater are taken by means of the camera system working in connection with the artificial intelligence module.
It controls (40) the functioning of the artificial intelligence module, the data analysis module integrated into the artificial intelligence module, the data processing module, the data detection module, the data integration module and the database.
In the system subject to the invention, the image data obtained with the camera system and the sensor data obtained with the sensor system are transferred to the artificial intelligence module through the transfer to the artificial intelligence module (50).
In the inventive system, the data obtained through the camera system and integrated into the artificial intelligence module are analyzed in the data analysis (60) before data processing.
In the system that is the subject of the invention, image data is processing with image processing techniques (70) in the data processing module of the artificial intelligence module in order to calculate specific data such as the type, size and amount of sea creatures such as fish .
A subject in the system of the Invention, Artificial Intelligence in drone detection module sensor system integrated in the module data obtained through the location, direction, distance, distance, etc and the data processing module of the data obtained in the type, size, quantity, such as specific data into a mixture of swarms of fish, of living etc obtaining the final detection data (80).
The raw image data obtained from the database contained in the artificial intelligence module in the invention subject system, the processed data processed in the data processing module, the fish obtained through the sensor, etc. the position, direction, distance, distance, coordinates, etc. belonging to living beings, the data, the drone route map data, the final result data obtained in the data detection module are continuously transferred and continuously updating (90) with the integration of all new and old data sets.
Claims
CLAIMS - The invention relates to the drone fish detection system and algorithm, and its feature is;
- the propellers positioned around the drone are powered by solar energy to provision of automatic flight (10), obtaining the data (20) about the location, direction, distance, distance, etc. of fish flocks, sea creatures, etc., by means of a sensor, such as ultrasonic and/or radar, etc. integrated into the drone, receipt of records (30) of fish herds etc. via the camera integrated into the drone, control (40) unit integrated into the drone controls the operation of the drone and the modules integrated into the drone,
- transfer to the Artificial Intelligence Module (50) integrated into the drone via the data integration module, analysis of the data transferred in the data analysis (60) module in the artificial intelligence module, processing with image processing techniques (70) in the data processing module in the artificial intelligence module obtaining the final detection data (80) of fish flocks, etc., by blending the image and sensor data in the data detection module in the artificial intelligence module and continuous updating (90) of the database in the artificial intelligence module with the integration of all new and old data sets includes the process steps.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TR2022/013492 | 2022-08-29 | ||
| TR2022/013492A TR2022013492A2 (en) | 2022-08-29 | 2022-08-29 | FISH DETECTION SYSTEM AND ALGORITHM WITH DRON |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2024049376A1 true WO2024049376A1 (en) | 2024-03-07 |
Family
ID=85162092
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/TR2023/050097 WO2024049376A1 (en) | 2022-08-29 | 2023-02-06 | Drone fish detection system and algorithm |
Country Status (2)
| Country | Link |
|---|---|
| TR (1) | TR2022013492A2 (en) |
| WO (1) | WO2024049376A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118525760A (en) * | 2024-07-25 | 2024-08-23 | 四川省农业机械科学研究院 | Solar intelligent temperature control yak breeding system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20200128221A (en) * | 2019-04-18 | 2020-11-12 | 이기택 | Smart fish farm management system |
| WO2022107513A1 (en) * | 2020-11-19 | 2022-05-27 | 東京幻実株式会社 | Fishing system |
-
2022
- 2022-08-29 TR TR2022/013492A patent/TR2022013492A2/en unknown
-
2023
- 2023-02-06 WO PCT/TR2023/050097 patent/WO2024049376A1/en unknown
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20200128221A (en) * | 2019-04-18 | 2020-11-12 | 이기택 | Smart fish farm management system |
| WO2022107513A1 (en) * | 2020-11-19 | 2022-05-27 | 東京幻実株式会社 | Fishing system |
| JP2022081369A (en) * | 2020-11-19 | 2022-05-31 | 東京幻実株式会社 | Fishing system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118525760A (en) * | 2024-07-25 | 2024-08-23 | 四川省农业机械科学研究院 | Solar intelligent temperature control yak breeding system |
Also Published As
| Publication number | Publication date |
|---|---|
| TR2022013492A2 (en) | 2022-10-21 |
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