Quiet Commutes. Happy Passengers.
AI-driven noise cancellation that targets wheel-rail friction and structural resonance—at a fraction of traditional costs.
Challenges in Rail Noise Control
Persistent low-frequency noise from wheel-rail friction resists mitigation by heavy, costly traditional materials. This unresolved background noise also disrupts public address systems, necessitating volume increases that further degrade the overall acoustic environment.
AI-Powered Active Noise Cancellation
SteadyBeat’s solution combines advanced acoustic sensing, edge AI processing, and adaptive noise cancellation to create a comprehensive acoustic management system for rail transit vehicles.
Edge AI SoC
Custom silicon that runs AI models locally—under 10W power, sub-10ms latency. No internet needed.
Multi-Modal AI
Fuses sound, vision, and sensor data into one intelligent system. Sees, hears, and understands context.
Superior Performance
Delivers real-time processing—no cloud dependency, no latency, maximum efficiency.
Key Benefits
Superior Noise Reduction
AI-driven active noise cancellation specifically targets wheel-rail friction and structural resonance, achieving up to 30dB reduction in low-frequency noise where traditional methods fail.
Technical Achievement
Real-time adaptive ANC algorithms with multi-zone control
Cost-Effective Implementation
Lightweight electronic solution eliminates the need for heavy soundproofing materials, reducing vehicle weight and enabling easy retrofitting of existing fleets.
Technical Achievement
Compact edge AI processing with minimal hardware requirements
Enhanced Passenger Experience
Quieter cabin environment reduces passenger fatigue, improves comfort during commutes, and elevates overall service quality perception.
Technical Achievement
Continuous noise monitoring and adaptive optimization
Improved PA System Clarity
By reducing ambient noise, public address systems can operate at lower volumes while maintaining excellent clarity for safety announcements and passenger information.
Technical Achievement
Integrated acoustic environment management
Real-World Applications
See how our technology transforms different rail transit environments
Metro Systems
Situation
Urban metro systems with frequent stops and starts generate significant wheel-rail noise, particularly during acceleration and braking.
Solution
- Adaptive ANC system continuously monitors and responds to changing noise patterns
- Real-time processing ensures consistent noise reduction throughout acceleration and braking cycles
- Multi-zone control targets specific areas within the cabin for optimized performance
Outcome
Passengers experience a quieter, more comfortable commute, leading to higher satisfaction and increased ridership.
High-Speed Rail
Situation
At high speeds, aerodynamic noise and structural vibrations create a challenging acoustic environment.
Solution
- Multi-zone ANC deployment targets specific noise sources across different cabin sections
- Edge AI processing ensures real-time adaptation to speed variations and changing conditions
- Integrated vibration and acoustic sensing for comprehensive noise management
Outcome
Premium passenger experience that justifies higher ticket prices and differentiates the service from competitors.
Light Rail Transit
Situation
Light rail vehicles operating in urban environments face noise from both internal sources and external urban sounds.
Solution
- Comprehensive acoustic management combining ANC with environmental noise filtering
- Intelligent PA system integration ensures clear communication without volume escalation
- Adaptive algorithms distinguish between internal and external noise sources
Outcome
Improved safety through better announcement clarity and enhanced passenger comfort in mixed-traffic environments.
Ready to Transform Your Rail Transit Experience?
Discover how SteadyBeat’s AI-powered noise cancellation can enhance passenger comfort and operational efficiency.