Development of a Vision-Based Data Collection and Analytics Platform for Roadway Safety Enhancement

The client faces difficulties in gathering comprehensive, real-time vision-based data from vehicle-mounted dashcams to improve roadway safety metrics, traffic efficiency, and enable data-driven decision making. Existing solutions lack seamless integration, scalability, and robust analytics capabilities needed for both public and private sector applications.

A mid-sized technology firm specializing in vision-based solutions for the automotive and transportation sectors, aiming to improve road safety and traffic management through innovative data services.

• Implement a scalable platform capable of ingesting, processing, and analyzing video data from vehicle dashcams in real time.
• Enhance roadway safety and traffic management by providing vision-based data services to multiple stakeholders.
• Create a modular system supporting integration with existing automotive and traffic infrastructure.
• Achieve high system availability, security, and performance to handle large volumes of data efficiently.
• Facilitate continuous development and onboarding of technical teams to support ongoing product enhancement.

• Real-time video ingestion and processing pipeline for dashcam data
• Automated vehicle and roadway object detection and classification
• Data storage optimized for handling large video datasets with indexing for fast retrieval
• Visualization dashboards presenting analytics insights and safety metrics
• APIs facilitating integration with third-party traffic management, insurance, and public safety systems
• User management and access control features to ensure data security
• Automated reporting and alerting based on predefined safety thresholds

• Vehicle dashcam data streams
• Traffic management system APIs
• Public safety databases for contextual data
• Third-party analytics or reporting tools

• System must support real-time data processing with latency under 2 seconds
• Scalable architecture capable of handling increasing data volumes with a 100% uptime SLA
• Robust security measures, including encryption, user authentication, and access control
• Compliance with relevant data privacy and safety regulations

By deploying this vision-based data collection and analytics platform, the client aims to significantly improve roadway safety metrics, enabling proactive interventions and policy decisions. The system is projected to process and analyze large volumes of dashcam data, resulting in more accurate traffic safety insights, supporting better resource allocation, and fostering safer driving environments. Enhanced data services are expected to attract new partners and revenue streams, driving growth within the transportation and public safety sectors.