SENTRA: Traffic Analytics
Edge traffic analytics for DOTs, MPOs and cities: counts, FHWA classification, speed and incident detection; also deployed at warehouses and corporate campuses.
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
Also deployed in commercial facilities
- Warehouses and distribution centers: yard counts, dwell and congestion
- Corporate campuses: entrance counts, speed and incident detection on private roads
- Manufacturing facilities: truck flow and loading-zone analytics
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
Frequently asked questions
SENTRA supports IP cameras (15-30 fps), radar sensors, and LiDAR. Frame rate requirements vary by use case: typically 15 fps for classification, 30 fps for incidents.
We conduct ground-truth validation studies comparing system counts to manual counts. Acceptance criteria and validation methodology are defined during project scoping.
Yes, SENTRA supports batch processing of archived video for historical analysis and model retraining using cloud infrastructure or distributed edge processing.
We export to ArcGIS feature classes, shapefiles, GeoJSON, and can integrate directly with LRS systems. Custom export formats available upon request.
Standard deployment: 1 edge device per 2-4 camera views. Exact configuration depends on resolution, frame rate, and number of analytics running concurrently.
SENTRA tracks vehicle dwell times, queue lengths, and traffic flow patterns at terminal curbsides. Analytics help airports optimize pickup zones, reduce congestion, and improve passenger experience while maintaining compliance with regional traffic regulations.
Yes, SENTRA monitors dock activity including vehicle arrival/departure, dwell times, and throughput metrics. This data helps logistics managers optimize dock scheduling, identify bottlenecks, and improve operational efficiency across distribution centers.
SENTRA detects stopped vehicles, wrong-way movement, queue buildup, congestion events, and unusual traffic patterns. Detection thresholds are configurable per site and can trigger automated alerts to traffic management centers or emergency services.
SENTRA exports data to ArcGIS feature classes and Linear Referencing Systems (LRS) used by state DOTs. This enables direct integration with existing transportation planning tools and supports AADT/AAWDT studies, capital improvement planning, and grant applications.
Yes, SENTRA provides traffic flow analysis, parking guidance, and shuttle optimization for corporate campuses. Analytics help facility managers understand peak congestion times, optimize parking resources, and improve employee commute experiences.