> For the complete documentation index, see [llms.txt](https://saferoadclub.gitbook.io/src-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://saferoadclub.gitbook.io/src-ai/problems-and-solution.md). # Problems and Solution ### Problem Statements 1. **Insufficient and low-quality vision data**: Current datasets for autonomous driving and ADAS development are limited in size, diversity, and quality, often failing to capture the wide range of real-world driving scenarios. This leads to suboptimal performance and safety concerns. 2. **High costs and inefficiencies in data acquisition**: Collecting, annotating, and maintaining large-scale vision datasets is expensive and time-consuming for individual researchers and companies, limiting access to high-quality data and slowing down innovation in the field. 3. **Data privacy and security concerns**: Sharing sensitive vehicle and driver data raises concerns about privacy and security, as centralized data storage systems are vulnerable to breaches and unauthorized access. ### Solution Overview SRC.ai addresses the challenges in autonomous driving and ADAS development by offering a decentralized, blockchain-based platform: 1. **Decentralized data collection through gamified dapp**: SRC.ai's user-friendly dapp gamifies the data collection process, incentivizing drivers worldwide to contribute their dash cam recordings and GPS data. This approach ensures a vast, diverse, and continuously growing dataset that better represents real-world driving conditions. 2. **Collaborative and incentivized data sharing**: The SRC.ai platform creates a decentralized data marketplace where contributors are rewarded with $SRC tokens for sharing their anonymized vision data. This reduces costs and inefficiencies for data consumers while providing a new income stream for data contributors. 3. **Blockchain-based data management**: By leveraging blockchain technology, SRC.ai ensures data integrity, privacy, and transparency. Anonymized data is securely stored and shared on the decentralized network, minimizing the risk of breaches and unauthorized access. 4. **AI-powered data processing and standardization**: SRC.ai's AI-powered data processing pipeline extracts valuable road images from dash cam videos, integrates GPS data, and prepares the dataset in a standardized format. This ensures compatibility and interoperability across different research and development teams. 5. **Decentralized governance and aligned incentives**: The SRC.ai platform aligns the interests of data contributors, consumers, and the overall advancement of autonomous driving technology through its decentralized governance model and token economics. The $SRC token serves as a means of incentivizing participation, collaboration, and decision-making within the ecosystem.