Licenses

ライセンス表記

本アプリは、以下のオープンソースおよび第三者ソフトウェアを利用しています。各著作権者に感謝します。

オープンソース

LGPL-3.0

FFmpeg（FFmpegKit 経由で利用）
Copyright © FFmpeg contributors.
使用目的：市販ドライブレコーダー（CellStar 等）の録画ファイル（AVI／ADPCM 音声）をアプリ内で読み込み・変換・再生するために使用しています。
本ビルドは --enable-version3 構成のため、LGPL v3.0 の条件で利用しています（GPL 構成要素は含みません）。本アプリは FFmpeg を動的に利用しており、LGPL の定めにより、ライブラリのソースコードおよび再リンクに必要な情報は、下記のお問い合わせ先にご請求いただけます。
ffmpeg.org/legal ・ LGPL-3.0 全文

LGPL-3.0

FFmpegKit（ffmpeg-kit-ios-full 4.5.1）
Copyright © Taner Şener / Arthenica.
github.com/arthenica/ffmpeg-kit ・ LGPL-3.0 全文

第三者サービス（SDK）

Proprietary — Google

Google Mobile Ads SDK（AdMob）
Copyright © Google LLC. Google の利用規約・ポリシーに従います。
使用目的：本アプリを無料で提供するため、広告の表示（収益化）に使用しています。
利用規約・プライバシーポリシー

学習済みモデル・データセット

MIT

TwinLiteNet（Core ML に変換して利用）
Copyright © 2023 Chế Quang Huy.
使用目的：道路側カメラの映像から車線を検知するために使用しています（端末内で処理）。
github.com/chequanghuy/TwinLiteNet ・ MIT License 全文

MIT License

Copyright (c) 2023 Chế Quang Huy

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

BSD

BDD100K（TwinLiteNet の学習データ）
Copyright © The Regents of the University of California.
本アプリにデータセット自体は含まれていません。
bdd-data.berkeley.edu

Public Domain

YOLOv3 / YOLOv3-Tiny（Apple 提供の Core ML モデル）
原著：Joseph Redmon（Darknet）。YOLO License により、パブリックドメインとして公開されています。
使用目的：道路側カメラの映像から前方の車両を検知するために使用しています（端末内で処理）。
github.com/pjreddie/darknet ・ Apple Core ML Models

Apple フレームワーク

AVFoundation・CoreLocation・CoreMotion・StoreKit・MapKit など Apple 提供のフレームワークは、Apple のソフトウェア使用許諾契約に基づいて利用しており、個別の表記は不要です。

記載されている会社名・製品名（CellStar 等）は、各社の商標または登録商標です。本アプリは各社と提携・承認関係にはありません。

Contact

ライセンスに関するお問い合わせ：support@hijapan.net

Licenses

Open-Source Licenses

This app uses the following open-source and third-party software. We thank the respective copyright holders.

Open Source

LGPL-3.0

FFmpeg (used via FFmpegKit)
Copyright © FFmpeg contributors.
Purpose: used to read, convert, and play recordings (AVI / ADPCM audio) from commercial dashcams such as CellStar within the app.
This build uses the --enable-version3 configuration and is therefore used under the terms of LGPL v3.0 (no GPL components are included). This app links to FFmpeg dynamically. As required by the LGPL, the library’s source code and the information needed to relink are available on request at the contact below.
ffmpeg.org/legal ・ LGPL-3.0 full text

LGPL-3.0

FFmpegKit (ffmpeg-kit-ios-full 4.5.1)
Copyright © Taner Şener / Arthenica.
github.com/arthenica/ffmpeg-kit ・ LGPL-3.0 full text

Third-Party Services (SDKs)

Proprietary — Google

Google Mobile Ads SDK (AdMob)
Copyright © Google LLC. Subject to Google’s terms and policies.
Purpose: used to display ads (monetization) so the app can be offered for free.
Terms ・ Privacy Policy

Pre-trained Models & Datasets

MIT

TwinLiteNet (converted to Core ML)
Copyright © 2023 Chế Quang Huy.
Purpose: used to detect lane lines in the road camera video (processed on device).
github.com/chequanghuy/TwinLiteNet ・ MIT License full text

MIT License

Copyright (c) 2023 Chế Quang Huy

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

BSD

BDD100K (training data for TwinLiteNet)
Copyright © The Regents of the University of California.
The dataset itself is not included in this app.
bdd-data.berkeley.edu

Public Domain

YOLOv3 / YOLOv3-Tiny (Core ML models provided by Apple)
Original work: Joseph Redmon (Darknet), released into the public domain under the YOLO License.
Purpose: used to detect the vehicle ahead in the road camera video (processed on device).
github.com/pjreddie/darknet ・ Apple Core ML Models

Apple Frameworks

Apple-provided frameworks such as AVFoundation, CoreLocation, CoreMotion, StoreKit, and MapKit are used under Apple’s software license agreement and require no separate attribution.

All company and product names mentioned (such as CellStar) are trademarks or registered trademarks of their respective owners. This app is not affiliated with or endorsed by them.

Contact

License inquiries: support@hijapan.net