Fishing system
A fishing system includes an unmanned aerial vehicle and a fishing line fixing portion placed on a main body of the unmanned aerial vehicle, the fishing line fixing portion including a first fixing portion for fixing a fishing line and a second fixing portion detachably connected to the first fixing portion. The unmanned aerial vehicle includes an imaging device, a fish school tracking processing unit configured to identify a fish in imaging data captured by the imaging device and control the unmanned aerial vehicle to track the fish. A connection between the first fixing portion and the second fixing portion is released when the fish is hooked on an artificial bait attached to a first end of the fishing line.
1 . A fishing system comprising:
an unmanned aerial vehicle; and
an information processing device equipped on the unmanned aerial vehicle, the information processing device being configured to:
drop an artificial bait connected to a fishing line into a sea without the fishing line being separated from the unmanned aerial vehicle;
autopilot the unmanned aerial vehicle according to a fish school tracking pattern; and
separate the fishing line from the unmanned aerial vehicle.
2 . The fishing system according to claim 1 , wherein the artificial bait is dropped into the sea when a school of fish is detected.
3 . The fishing system according to claim 2 , further comprising an imaging device equipped on the unmanned aerial vehicle for detecting the school of fish.
4 . The fishing method according to claim 3 , wherein the imaging device is provided with a polarizing filter.
5 . The fishing system according to claim 1 , wherein the fishing line is separated from the unmanned aerial vehicle when the fishing line is pulled toward the sea with a force greater than or equal to a preset value.
6 . The fishing system according to claim 1 , wherein the artificial bait comprises a sonar sensor.
7 . The fishing system according to claim 6 , wherein sonar information from the sonar sensor is transmitted to an information communication terminal of a user.
8 . The fishing system according to claim 1 ,
wherein the fish school tracking pattern comprises at least one of a first pattern, a second pattern, or a third pattern,
wherein the first pattern is a pattern in which the artificial bait is moved linearly along a direction of movement of a school of fish,
wherein the second pattern is a pattern in which the artificial bait is moved in a wave shape along the direction of the movement of the school of fish, and
wherein the artificial bait is moved circularly so as to surround the school of fish in the direction of the movement of the school of fish.
9 . The fishing system according to claim 1 , wherein the fish school tracking pattern is determined using a fish school tracking model having a neuron network which is learned by deep learning.
10 . The fishing system according to claim 1 , wherein the information processing device is further configured to autopilot the unmanned aerial vehicle to return to a departure position after the fishing line is separated from the unmanned aerial vehicle.
11 . A fishing method using an unmanned aerial vehicle, comprising the steps of:
dropping an artificial bait connected to a fishing line into a sea without the fishing line being separated from the unmanned aerial vehicle;
autopiloting the unmanned aerial vehicle according to a fish school tracking pattern; and
separating the fishing line from the unmanned aerial vehicle.
12 . The fishing method according to claim 11 , wherein the artificial bait is dropped into the sea when a school of fish is detected.
13 . The fishing method according to claim 12 , wherein the school of fish is detected using an imaging device equipped on the unmanned aerial vehicle.
14 . The fishing method according to claim 13 , wherein the imaging device is provided with a polarizing filter.
15 . The fishing method according to claim 11 , wherein the fishing line is separated from the unmanned aerial vehicle when the fishing line is pulled toward the sea with a force greater than or equal to a preset value.
16 . The fishing method according to claim 11 , wherein the artificial bait comprises a sonar sensor.
17 . The fishing method according to claim 16 , wherein sonar information from the sonar sensor is transmitted to an information communication terminal of a user.
18 . The fishing method according to claim 11 ,
wherein the fish school tracking pattern comprises at least one of a first pattern, a second pattern, or a third pattern,
wherein the first pattern is a pattern in which the artificial bait is moved linearly along a direction of movement of a school of fish,
wherein the second pattern is a pattern in which the artificial bait is moved in a wave shape along the direction of the movement of the school of fish, and
wherein the artificial bait is moved circularly so as to surround the school of fish in the direction of the movement of the school of fish.
19 . The fishing method according to claim 11 , wherein the fish school tracking pattern is determined using a fish school tracking model having a neuron network which is learned by deep learning.
20 . The fishing method according to claim 11 , further comprising a step of autopiloting the unmanned aerial vehicle to return to a departure position after the fishing line is separated from the unmanned aerial vehicle.