Operational Analytics

We track cycle times, identify bottlenecks, and count throughput using cameras positioned along your production line. The system measures actual vs. target output per station and flags slowdowns before they cascade downstream.

Our models track pallet positions, movement patterns, and inventory placement across warehouse zones. We verify that pallets are stored in correct locations and flag misplacements that would cause picking errors or safety issues.

We count people entering and exiting zones, generate heatmaps of foot traffic, and measure dwell times in specific areas. This data drives decisions on staffing, layout optimization, and space utilization across your facility.

We monitor truck bay utilization, loading dock turnaround times, and yard management metrics. The system tracks vehicle movements, idle times, and queue lengths to optimize logistics flow and reduce wait times.

Our systems verify that workers follow standard operating procedures by tracking task sequences and step completion. We flag out-of-order operations, skipped steps, and unauthorized process variations in real time.

We aggregate operational data across shifts, weeks, and months to surface patterns and anomalies. Shift comparison dashboards, weekly KPI reports, and anomaly detection help operations teams make data-driven improvements.

Multi-stream video analytics pipeline for processing dozens of camera feeds.

ByteTrack and DeepSORT for persistent object identity across frames.

InfluxDB and TimescaleDB for storing operational metrics at scale.

Real-time operational dashboards with alerting and historical analysis.

Purpose-built analytics interfaces for specific operational workflows.

NVIDIA Jetson devices for on-site video processing with low latency.

YOLOv8 and custom architectures for object detection and counting.

Apache Kafka and Redis for real-time event streaming and aggregation.

FastAPI services for data access, configuration, and third-party integration.