IP Library Granted Patent US 10,262,244
Granted Patent B2
US 10,262,244 · App. 15/760,561 · Granted Apr 16, 2019

Image evaluation method

Inventors: Norio Yamaguchi (Tokyo, JP); Yohei Sakai (Tokyo, JP); Takashi Togami (Tokyo, JP); Kyosuke Yamamoto (Tokyo, JP); Yasutaka Kosugi (Tokyo, JP)
Assignee: PS SOLUTIONS CORP.
G06K9/68A01G7/00G06F16/00G06F16/5838G06F16/5866G06F17/30256G06F17/30268G06K9/3241G06T1/00
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Quick Facts
Patent No.
US 10,262,244
App. No.
15/760,561
Granted
Apr 16, 2019
Kind
B2
Abstract

The purpose of the present invention is to improve evaluation accuracy of a photographed image when an event occurs. An image evaluation method according to the present invention includes steps, which are carried out by a server, for: storing, in a plurality of storage units, organism images each corresponding to a mode of an organism and outbreak environment information indicating the range of environment information suited for a mode of an organism; receiving a photographed image transmitted from a portable terminal; receiving environment information measured by a sensor terminal from the sensor terminal; retrieving organism images similar to the received photographed image among a plurality of organism images and assigning scores to names each related to the mode of an organism corresponding to the retrieved organism image; extracting names each related to the mode of an organism associated with outbreak environment information including the environment information received from the sensor terminal; assigning a weight to the scores of the extracted names; and transmitting a name, having the highest score among the plurality of scores as an evaluation result name, to the portable terminal that has transmitted the photographed image.

Claims (16)

1. An image evaluation method using a server for communicating with a portable terminal and a sensor terminal located in an agricultural field, the server including a storage unit, the method comprising the steps of, executed by the server:

for each of animal or plant species, storing in the storage unit, animal or plant species images corresponding to respective animal or plant species, and occurrence environmental information representing a range of environmental information in which the respective animal or plant species occurs;

storing in the storage unit, crop information corresponding to a crop cultivated in the agricultural field and environmental information transmitted from the sensor terminal, the crop information and the environmental information associated with the sensor terminal;

receiving a captured image transmitted from the portable terminal;

receiving the environmental information measured by the sensor terminal from the sensor terminal;

for each of the animal or plant species images, generating a classification model for a feature vector corresponding to a local feature amount for each feature point in each of the animal or plant species images, and generating the feature vector corresponding to the local feature amount for the captured image;

assigning a point to a name of each animal or plant species based on the classification model for corresponding animal or plant species images and the feature vector for the captured image;

extracting the crop information corresponding to the crop cultivated in the agricultural field, the crop information associated with the sensor terminal;

extracting the occurrence environmental information associated with the extracted crop information;

determining whether or not the extracted occurrence environmental information includes the received environmental information from the sensor terminal;

when it is determined that the extracted occurrence environmental information includes the received environmental information from the sensor terminal, extracting the name of the animal or plant species corresponding to the extracted occurrence environmental information, and weighting the a point of the extracted name; and

transmitting a name having a highest point of the points to the portable terminal as an evaluation result name.

2. The image evaluation method according to claim 1 , wherein in the step of weighting, the server extracts the names of the animal or plant species associated with the occurrence environmental information comprising the environmental information received from a sensor terminal near an image capture position of the portable terminal when the animal or plant species is captured by the portable terminal.

3. The image evaluation method according to claim 2 , further comprising the step of, executed by the server:

storing in the storage unit, the names of the animal or plant species in association with an agricultural field recognized to have the animal or plant species,

wherein in the step of weighting, the server extracts the names of the animal or plant species recognized in a different agricultural field around the agricultural field in which the sensor terminal near the image capture position is located, and further weights the points of the extracted names.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 19, 2024
From: SOFTBANK CORP.
To: GREEIN INC.
Reel/Frame 068639/0221 →
CHANGE OF ADDRESS Recorded Mar 10, 2021
From: SOFTBANK CORP.
To: SOFTBANK CORP.
Reel/Frame 056594/0681 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2019
From: PS SOLUTIONS CORP.
To: SOFTBANK CORP.
Reel/Frame 049690/0520 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 26, 2018
From: YAMAGUCHI, NORIO; SAKAI, YOHEI; TOGAMI, TAKASHI; YAMAMOTO, KYOSUKE; KOSUGI, YASUTAKA
To: PS SOLUTIONS CORP.
Reel/Frame 045348/0720 →
Priority Claims (1)
JP 2015-185843 · Sep 18, 2015 · national
Continuity (1)
Related Publication 20180276504A1 · Sep 27, 2018
Cited By (2)
US 12,211,268 US 12,557,407