"SafeRoadClub(SRC)"의 두 판 사이의 차이

위키원
이동: 둘러보기, 검색
(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)
 
 
(다른 사용자 한 명의 중간 판 하나는 보이지 않습니다)
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, transforming driving habits into recorded and rewarded activities. This innovative platform automates data collection and game-like decision-making through an AI agent, integrating GPS speed tracking and AI analytics to enhance and reward driving activities. [SRC.ai](http://src-ai.com/) offers real-time feedback and rewards to drivers, aiming to create a safer, more connected, and data-driven driving ecosystem.
+
'''About''' [SRC.aiSRC.ai](http://src-ai.com/) 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
-> Rewarding individual safe driving (starting with substantial rewards based on compliance with regulated speeds, etc., and expanding the ecosystem)
+
-> 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)
 
+
2026 - Data sharing and sales, business partnerships
+
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 and Tesla self-driving car companies )
+
-> 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.
  
2027 - Leading the EARN ecosystem in the Web 3.0 era
 
-> Innovative M2E 2.0 service combining cutting-edge technologies such as data, AI, blockchain, NFT, etc., through MOVE, DRIVE, PLAY, X (specific activities)
 
  
  
23번째 줄: 28번째 줄:
  
 
▫️Business Strategy
 
▫️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.
  
[Phase 1 Dapp] Compliance with regulations - App running -> Reward token mining
 
 
[Phase 2 Data API] Development of data API including user driving data and road images from user blackbox recordings.  Full Self Driving training, Vision research and various applications.
 
 
[Phase 3 Advanced data] Future expansions include support for OBD-II, mobility service payments, vehicle inspections, and diverse functionalities for vehicle status monitoring. Planned for services including rapid acceleration, rapid braking, lane departure, overall driving habits, and vehicle condition confirmation.
 
  
  
34번째 줄: 40번째 줄:
  
 
Mecurial data analysis and AI video recognition technology
 
Mecurial data analysis and AI video recognition technology
-> Road image extraction from blackbox videos, and integrating user data and road images to server data API.
+
-> Road image extraction from Dash Cam videos, and integrating user data and road images to server data API.
 
+
 
Realization of sophisticated collection and analysis of actual driving behavior data
+
AI subsystem for dapp and platform. 
-> Driving habits, vehicle condition confirmation (intersections, crosswalks, rapid acceleration, predicted signal starts, abrupt lane changes, repetitive sudden braking, driving hazard habits, etc., overall vehicle status information)
+
-> Automatic App control with LLM RAG system.
-> Driver and type-specific accident analysis, accident response (Driver & Driving type Incident analysis and response)
+
-> Training pipeline from preprocessing to enhanced model generation.
 
 
 
 
 
== 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
 
  
 
== White Paper ==
 
== White Paper ==

2024년 5월 20일 (월) 14:39 기준 최신판

SRC logo.jpg

About [SRC.aiSRC.ai](http://src-ai.com/) 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[편집]

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[편집]

▫️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[편집]

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[편집]

-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[편집]

https://saferoadclub.gitbook.io/src-ai


Community[편집]

Telegram - https://t.me/SRCofficial_channel X - https://twitter.com/SrcAi_Official


SRC[편집]

Total Supply: 1,000,000,000 (1 Billions) $SRC Token Address : 5gkd3yk3WmTEjYxiTsCXk3p8uPd9W85L5UNYNUQaheyb Tokenomics: https://saferoadclub.gitbook.io/src-ai/tokenomics/tokenomics/src