ML-powered radar processing for maritime navigation and autonomy
Tocaro Blue applies machine learning to legacy marine radar hardware, converting commodity sensors into intelligent perception systems. The stack is heavy on inference frameworks (TensorFlow, PyTorch, Keras) and embedded systems (C++, ARM64, Docker), with active projects spanning radar+EO/IR fusion models, edge deployment, and MLOps pipelines—indicating a company solving for real-time sensor interpretation and low-resource maritime hardware, not just data analysis.
Tocaro Blue modernizes marine radar systems by layering machine learning on top of off-the-shelf hardware. The core product, ProteusCore, applies automated detection, classification, and tracking to radar data, then fuses the output with other sensors for navigation and autonomous vessel control. The company serves maritime OEMs and navigation system integrators in the United States, operating as a 11–50-person engineering-led shop based in Pensacola, Florida.
C++, C, Python, PyTorch, TensorFlow, Keras, Qt, CMake, Linux, macOS, Windows, Android, Docker, CAN, TCP, UDP, MQTT, Bluetooth Low Energy, ARM64.
Tocaro Blue's radar processing software. It applies machine learning to automatically detect, classify, and track radar data, then streams or fuses the output with other sensors for navigation and vessel control.
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