See, Hear, and Respond to Threats in Real-Time
Multi-modal AI that fuses audio, video, and sensor data to detect emergencies before they escalate.
Challenges in
Urban Safety Monitoring
Dense urban environments generate constant noise that challenges traditional visual surveillance, often masking critical acoustic indicators and delaying incident detection. Furthermore, reliance on cloud-based processing creates significant vulnerability, as systems may fail precisely when network infrastructure is compromised during disasters.
Multi-Modal AI Fusion for Comprehensive Threat Detection
SteadyBeat’s public safety solution combines acoustic, visual, and environmental sensors with edge AI processing to create a comprehensive, network-independent monitoring system for urban environments.
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
Real-Time Multi-Modal Detection
Fusion of acoustic, visual, and environmental sensors enables comprehensive threat detection—earthquakes, gas leaks, explosions, gunshots, abnormal crowd movements—with higher accuracy than single-modal systems.
Technical Achievement
Edge AI sensor fusion with sub-second detection latency
Network-Independent Operation
Edge AI processing ensures the system continues functioning during network outages or disasters, with local alerting and decision-making capabilities that don’t rely on cloud connectivity.
Technical Achievement
Autonomous edge processing with optional cloud synchronization
Intelligent Alert Prioritization
AI algorithms analyze context and patterns to reduce false alarms, prioritizing genuine threats and providing operators with actionable intelligence rather than raw sensor data.
Technical Achievement
Machine learning-based anomaly detection with confidence scoring
Enhanced Urban Safety
Comprehensive monitoring of public spaces, transportation hubs, and critical infrastructure creates safer urban environments with faster emergency response and better resource allocation.
Technical Achievement
Scalable deployment across distributed sensor networks
Real-World Applications
See how our technology enhances safety in different urban scenarios
Crowd Monitoring & Incident Detection
Situation
Large public gatherings, transportation hubs, and entertainment venues require monitoring for safety threats, crowd crushes, and emergency situations.
Solution
- Multi-modal AI analyzes acoustic patterns (screams, gunshots, crowd panic)
- Visual data processing monitors crowd density and movement patterns
- Environmental factor analysis provides comprehensive real-time situational awareness
Outcome
Faster emergency response, prevention of crowd crushes, and enhanced security through comprehensive situational awareness.
Gas Leak Detection
Situation
Gas leaks in urban areas pose explosion and health risks, but may go undetected until dangerous concentrations accumulate.
Solution
- Distributed acoustic sensors detect characteristic hissing sounds of gas leaks
- Environmental sensors confirm gas presence for multi-modal validation
- Rapid response alerts enable intervention before dangerous concentrations accumulate
Outcome
Early detection prevents explosions and evacuations, protecting public safety and critical infrastructure.
Ready to Enhance Urban Safety?
Discover how SteadyBeat’s multi-modal AI can protect your community with faster, more accurate threat detection.