Diagrams
ARCHITECTURE
AND PIPELINE.
System Architecture
Edge Inference Pipeline
Edge AI and computer vision for autonomous drone coordination, real-time inspection, event-driven monitoring, and low-bandwidth field operations.
Sentinel processes frames near the source, publishes only important detection deltas, and streams annotated video when operators need visual confirmation.
Autonomous drones patrol large perimeters and publish detection events when people, vehicles, or anomalies enter restricted areas.
Custom-trained defect models detect corrosion, cracks, thermal anomalies, and access risks on pipelines, towers, utilities, and facilities.
Multi-agent fleets coordinate search grids and converge when one node detects a target, reducing manual coordination effort.
Real-time density estimation and traffic flow analysis with event-driven telemetry instead of continuous raw streaming.
Crop health, pest detection, and irrigation anomaly alerts with field mapping and anomaly-only data movement.
TensorRT-optimized models support intelligence and surveillance missions in low-connectivity or denied environments.
INT8 TensorRT improves throughput by 3-4x but can reduce mAP. Sentinel uses calibration datasets and mixed precision strategies per device class.
Jetson Nano deployments can throttle under sustained outdoor inference. Sentinel supports dynamic FPS reduction, model tiering, and airflow-aware deployment profiles.
Spotty RF and mesh links require QoS level 1, retained messages, reconnect backoff, and local event queues for offline-first operations.
Multi-agent fleets use leader election, token-based task locking, and geofence partitioning to avoid duplicate target coverage.
Adaptive bitrate, STUN/TURN topology, and frame dropping preserve detection overlays under variable bandwidth.
One ONNX pipeline compiles to TensorRT and OpenVINO with operator compatibility tests and separate calibration runs.
Detection, segmentation, and pose variants custom-trained on domain-specific datasets with ONNX export.
INT8 and FP16 inference on Jetson devices with layer fusion, calibration, and kernel tuning.
IR model compilation for Intel NCS2 and Myriad X, with async inference on low-power accelerators.
Low-overhead pub/sub topics scoped by drone, detection class, alert severity, and mission context.
Annotated frame relay with adaptive bitrate, H.264 encoding, and NAT traversal support.
Leader election, task locking, heartbeat monitoring, and failover reassignment for distributed fleets.