SENTRA
Edge AI for counting, classification, speed, and incident detection, serving warehouses, distribution centers, corporate campuses, and manufacturing facilities.
Outcomes
98%+ on tuned sites
Vehicle classification accuracy
< 1–2 s (tuned per site)
Incident detection latency
↓ 20–40% with edge batching
Cloud GPU/egress spend
Capabilities
- Real-time counts, speed, and FHWA class at the edge (Jetson/x86)
- Aviation/Airport: curbside flow optimization, ground transportation analytics, terminal access monitoring
- Warehouse & Logistics: loading dock optimization, yard management, trailer tracking
- Corporate Campus: traffic flow analysis, parking guidance, employee shuttle optimization
- Incident detection (stopped vehicle, wrong-way, queue build-up, congestion alerts)
- ArcGIS/LRS conflation; shapefiles/feature classes export for DOT workflows
- Live dashboards and scheduled study packs
- Hybrid edge↔cloud sync and statewide batch inference
- Model monitoring & drift alerts; retrain hooks
Deployment options
- Edge devices (Jetson/x86 platforms)
- Kubernetes microservices architecture
- S3/Glacier storage for long-term archives
- ArcGIS/feature classes export
- Data portal integration hooks
- Statewide batch inference support
Security & compliance
- Encrypted telemetry and data transmission; device authentication and authorization
- Role-scoped access controls with complete audit logging
- Optional anonymization for public data portals
- Designed to align with WCAG 2.1 AA accessibility standards
- Security posture designed for DOT and municipal requirements
- Regular security assessments and updates
Customer stories
- Municipal Computer Vision Cost Reduction
Edge processing reduced cloud costs by 70% while improving response times