위키원
"SafeRoadClub(SRC)"의 두 판 사이의 차이
(About [SRC.aiSRC.ai](http://src.ai/) is an AI-powered Web3 app that monetizes routine driving data, transforming driving habits into recorded and rewarded activities. This innovative platform automates data collection and game-like decision-making through) |
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| 1번째 줄: | 1번째 줄: | ||
[[파일:SRC_logo.jpg]] | [[파일:SRC_logo.jpg]] | ||
| − | '''About''' [SRC.aiSRC.ai](http://src.ai/) is an AI-powered Web3 app that monetizes routine driving data | + | '''About''' [SRC.aiSRC.ai](http://src.ai/) is a vision data platform to develop LLM for self-driving and vision model using road images collected from src dapp users. |
| + | SRC.ai offers an AI-powered Web3 app that monetizes routine driving data. The dapp automates data collection and game-like decision-making through an AI agent. | ||
| + | SRC platform builds training data for autonomous driving and vision research by integrating GPS data and road images from user dash cam recordings. | ||
| + | [SRC.ai] (http://src.ai/) offers real-time feedback and rewards to drivers aiming to collect road data around the world. | ||
== Road Map == | == Road Map == | ||
| 9번째 줄: | 12번째 줄: | ||
▫️Business Road Map | ▫️Business Road Map | ||
Leading the Earn ecosystem driven by data and AI (leaping as a company centered on data production, data sharing, and data-driven revenue) | Leading the Earn ecosystem driven by data and AI (leaping as a company centered on data production, data sharing, and data-driven revenue) | ||
| − | + | ||
2024 - Accumulation of data collection and AI analysis technology | 2024 - Accumulation of data collection and AI analysis technology | ||
| − | -> | + | -> Flexible rewarding for individual driving and data contribution (starting with substantial rewards based on compliance with regulated speeds, NFT levels and contribution of driving recordings) |
| − | + | ||
| − | + | 2025 - Data sharing and sales, business partnerships | |
| − | -> Sharing of individual driving habit data (mutual partnership with global insurance companies such as Tesla, Allianz SE, AXA S.A, etc., through AI analysis of driving habit data | + | -> Data API to autonomous driving developers, research institute and consumer application. |
| + | -> Sharing of individual driving habit data (mutual partnership with global insurance companies such as Tesla, Allianz SE, AXA S.A, etc., through AI analysis of driving habit data) | ||
| + | |||
| + | 2026 - LLM for self driving | ||
| + | -> Develop SOTA LLM model for autonomous driving trained with full dataset collected from dapp users. | ||
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| 23번째 줄: | 28번째 줄: | ||
▫️Business Strategy | ▫️Business Strategy | ||
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| + | [Phase 1 Dapp] Compliance with regulations and recording of driving (commercial Dash Cam) - App running -> Reward token mining | ||
| + | |||
| + | [Phase 2 Data API] Development of data API including user driving data and road images from user dash cam recordings. Data API applications include Full Self Driving training, Vision research and consumer applications. | ||
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| + | [Phase 3 AI Model] Heavy training of LLM to serve self driving inference. The highest road coverages with crowd sourced data will enable stable LLM performance throughout the roads in the world. | ||
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| 34번째 줄: | 40번째 줄: | ||
Mecurial data analysis and AI video recognition technology | Mecurial data analysis and AI video recognition technology | ||
| − | -> Road image extraction from | + | -> Road image extraction from Dash Cam videos, and integrating user data and road images to server data API. |
| − | + | ||
| − | + | AI subsystem for dapp and platform. | |
| − | -> | + | -> Automatic App control with LLM RAG system. |
| − | -> | + | -> Training pipeline from preprocessing to enhanced model generation. |
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== Partnership == | == Partnership == | ||
| 56번째 줄: | 60번째 줄: | ||
-Domus Ai (2024-05-07) | -Domus Ai (2024-05-07) | ||
-WALK UP (2024-05-08) | -WALK UP (2024-05-08) | ||
| + | -IO.NET (2024-05-15) | ||
The partnership continues | The partnership continues | ||
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== White Paper == | == White Paper == | ||
2024년 5월 20일 (월) 14:35 판
About [SRC.aiSRC.ai](http://src.ai/) is a vision data platform to develop LLM for self-driving and vision model using road images collected from src dapp users.
SRC.ai offers an AI-powered Web3 app that monetizes routine driving data. The dapp automates data collection and game-like decision-making through an AI agent. SRC platform builds training data for autonomous driving and vision research by integrating GPS data and road images from user dash cam recordings.
[SRC.ai] (http://src.ai/) offers real-time feedback and rewards to drivers aiming to collect road data around the world.
Road Map
https://saferoadclub.app/#RoadMap
▫️Business Road Map Leading the Earn ecosystem driven by data and AI (leaping as a company centered on data production, data sharing, and data-driven revenue) 2024 - Accumulation of data collection and AI analysis technology -> Flexible rewarding for individual driving and data contribution (starting with substantial rewards based on compliance with regulated speeds, NFT levels and contribution of driving recordings)
2025 - Data sharing and sales, business partnerships -> Data API to autonomous driving developers, research institute and consumer application. -> Sharing of individual driving habit data (mutual partnership with global insurance companies such as Tesla, Allianz SE, AXA S.A, etc., through AI analysis of driving habit data) 2026 - LLM for self driving -> Develop SOTA LLM model for autonomous driving trained with full dataset collected from dapp users.
SRC Vision
▫️Business Strategy [Phase 1 Dapp] Compliance with regulations and recording of driving (commercial Dash Cam) - App running -> Reward token mining [Phase 2 Data API] Development of data API including user driving data and road images from user dash cam recordings. Data API applications include Full Self Driving training, Vision research and consumer applications. [Phase 3 AI Model] Heavy training of LLM to serve self driving inference. The highest road coverages with crowd sourced data will enable stable LLM performance throughout the roads in the world.
SRC TECH
Mecurial data analysis and AI video recognition technology -> Road image extraction from Dash Cam videos, and integrating user data and road images to server data API. AI subsystem for dapp and platform. -> Automatic App control with LLM RAG system. -> Training pipeline from preprocessing to enhanced model generation.
Partnership
-Buritto Wallet (2024-04-09) -SaaSGo (2024-04-11) -Orbler (2024-04-12) -MasterPop (2024-04-16) -Hela Labs (2024-04-17) -Collably (2024-04-18) -XpNetwork (2024-04-19) -Catex (2024-04-24) -STAR (2024-04-24) -MTMT (2024-04-26) -GptPlus (2024-04-29) -Domus Ai (2024-05-07) -WALK UP (2024-05-08) -IO.NET (2024-05-15) The partnership continues
White Paper
https://saferoadclub.gitbook.io/src-ai
Community
Telegram - https://t.me/SRCofficial_channel X - https://twitter.com/SrcAi_Official
SRC
Total Supply: 1,000,000,000 (1 Billions) $SRC Token Address : 5gkd3yk3WmTEjYxiTsCXk3p8uPd9W85L5UNYNUQaheyb Tokenomics: https://saferoadclub.gitbook.io/src-ai/tokenomics/tokenomics/src
