新ビジネスモデルアプリ特許ご採用提案書 for S.Watch

ＷａＨＭＡ®

Weather and Health
Mobile Applications

このアプリ特許はSmart Watchに組み込んだり、スマホ画面と連動させた新商品にできます。 このアプリの特許使用権は日本はもとより世界中の御社関連商品に（この特許をSmart Watchで活用して頂ける会社を探していいます。） ご採用頂けます。
世界特許でグローバ
ル展開が安心可能！

天候予測ｘ身体状況
×健康対策
ブルーツースによる連動またはS.W 画面での表示も可能■各地域の気象予測データを取り込み、熱中症有害紫外線、花粉症、PM2.5等の身体情報を加味した健康対策や関連商品情報をも教えてくれる端末、スマホアプリ。日本初、世界初！

Smart Watchの身体状況把握機能にこの特許を加えると、世界中の健康対策関連商品のアフィリエイト宣伝事業と連携できて、S.W販売との連携事業を将来飛躍拡大できます。

S.Wの例■気象予測×身体状況を加味した健康対策を予知し、健康関連商品の使用推奨や販促情報を提供するスマホアプリの当社特許が成立しました。
日本特許；第6793301号 2020年11月登録成立
世界特許；PCT/JP2020/027960（閲覧リンク）
世界150か国での特許権が活用可能です。）

JANｺｰﾄﾞからもＯＫ
個別商品の天候予測に合わせた熱中症対策商品の例
販促宣伝が可能！

花粉・PM2.5対策

QRコード
チエック！

■下記のQRコードをあな
たのスマホで読み取ると、このアプリのデモ画面へリンクします。
このビジネスモデルの概要が理解できます。

紫外線対策

他対策
商品

他UV対策
商品
日焼止めクリーム

UV,熱中症対策商品にQRコードのタグを貼り付けた例■気象予測データの入手；
このビジネスモデルアプリには日本全国の3から7日間の気象予測APIデータが必要です。
これらは、日本の民間気象予報会社から入手可能です。
また、世界の気象予測APIデータは英国等の地球衛星での気象予報会社から同じく入手可能です。

花粉症■ 連絡先；
株式会社 日曜発明ギャラリー（英文社名；KOBAYA Co Ltd ）担当 小林 （山田）電話；＋81-54-625-0839
FAX ;+81-54-625-1898
E-mail; kobaya@kobaya-co.jp
http://www.kobaya-co.jp

同時に表示できる健康商品宣伝バナー© KOBAYA 日曜発明ギャラリー

File No;20210105JP

for Smart Watch
New Business Model App Patent Adoption Proposal

ＷａＨＭＡ®

Weather and Health
Mobile Applications

This app patent can be incorporated into a Smart Watch or madeinto a new product linked with a smartphone screen. (We areThis patent usage right applies tolooking for a company that can utilize this patent in Smart Watch.)
Weather forecast x physicalcondition× Health measures

Global expansion issafe with worldpatentsCommunicationinterlocking or
On the S.W screen
Display is also possible■Incorporating weather forecast data, heat stroke
Add physical information to harmful ultraviolet rays,
hay fever, PM2.5, etc. It also tells you about healthmeasures and related product information, world's first!

For the physical condition grasp functionof Smart Watch. By adding this patent, we
can collaborate with the affiliate
advertising business of health measuresrelated products and expand the businessdramatically in the future.

Smart Watch

your company-related products inJapan and around the world.

JAN Code entry OK!

■ Weather prediction x health-related productsthat take into account physical conditions.The app thatprovides usage recommend and promotional■Japanese patent; No. 6793301 registered inNovember 2020
World Patent; PCT / JP2020 / 027960 (Link)
Patent rights in 150 countries around the world!
■If you read the QR code
below with yoursmartphone,
Link to the demo screen of
this app. Try it!

QR codeCheck!

Promotionaccording toHeat stroke countermeasure
weather forecast ！

PM2.5 protection

UV protection

他対策
商品

花粉症

Promotional banner

他UV対策
商品
日焼止めクリーム■Obtaining weather forecast data; For thisbusiness model app We need 3 to 7 days ofweather forecast API data for the country inquestion.
Japan is available from private weather
forecasting companies.
In addition, the world weather prediction
API data is also available from weather
forecasting companies on Earth satellites
such as the United Kingdom.
■ contact information;
Nichiyou Hatsumei Gallery Co., Ltd.
(English company name; KOBAYA Co Ltd)In charge T. Kobayashi
Phone; + 81-54-625-0839
FAX; + 81-54-625-1898
E-mail; kobaya@kobaya-co.jp
http://www.kobaya-co.jp© KOBAYA 日曜発明ギャラリーFile No;20210106En

Japanese Government Patent Registration Notification

Japan Pat.No;6793301 andWorld Patent No; PCT/JP2020/027960 (WIPO)

Toyohiro KOBAYASHI■特許権利期間

２０４０年８月まで

Patent right period until August 2040

Patent summary in English on the next page

JAN Code entry OK!

Ｗeather Forecast
Agency and AI Cloud

Human body status input function

Patent summary in English
Japan Pat.No;6793301 andWorld Patent No; PCT/JP2020/027960 (WIPO)[Summary]
PROBLEM TO BE SOLVED:
To easily know how much a health-related countermeasure product has acountermeasure effect level and how much countermeasure can be taken against
regional weather environment forecast information.
SOLUTION:
A two-dimensional code 1 incorporating countermeasure effect level information foreach health-related countermeasure category is attached to a product. Alternatively, it
has a means for reading the above countermeasure classification. On the other hand, amobile terminal device 2 that automatically inputs the amount of planned activity in
exercise and work, physical condition, etc., pulse rate, body temperature, etc., and ahealth-related measure information processing device 3 connected to a communicationnetwork. Also obtains weather information such as temperature, humidity and heatindex, ultraviolet rays, pollen and PM2.5 scattering ,other air pollution status amount foreach region from the weather forecast prediction data transmitter 4, generates thenecessary countermeasure level, compares it with the countermeasure effect level, anddetermines the product. Useful for selection. In addition, failure occurrence prediction
information generated by a deep learning method and related countermeasure productpromotion information are obtained from the progress history of the information.