Safety tech for underground mining: collision avoidance, proximity detection, and atmospheric monitoring
Matrix manufactures hardware and embedded software for underground mining and industrial safety—collision avoidance cameras, proximity detection systems, personnel tracking, and atmospheric monitoring. The tech stack reveals a mature ML and embedded systems operation: TensorFlow, PyTorch, Kubernetes, and ONNX for model inference sit alongside RTOS, VHDL, Verilog, and C/C++ for firmware and hardware control. Current projects focus on custom model deployments and CI/CD for production scaling, while pain points center on transitioning trial installations to scalable production systems—a classic hardware-software scaling challenge.
Matrix Design Group manufactures safety and productivity systems for underground mining and industrial environments where personnel and mobile equipment operate in close proximity. Founded in 2006 and headquartered in Newburgh, Indiana, the company operates as a public company with 201–500 employees. Products span camera-based collision avoidance (OmniPro), proximity detection (IntelliZone), personnel and equipment tracking, atmospheric and methane monitoring, and high-speed networking infrastructure for mines. The engineering organization is actively scaling: 7 of 9 open roles are engineering positions, with emphasis on senior-level hires, signaling investment in model deployment and production reliability.
ML frameworks (TensorFlow, PyTorch, ONNX), containerization (Docker, Kubernetes), embedded systems (RTOS, VHDL, Verilog, C/C++), cloud (AWS, Azure, GCP), and application languages (Python, C#, TypeScript, Java, Rust).
Custom ML model deployments, CI/CD pipelines for models and source code, trial installations on new machinery, and scaling those trials into production-grade systems.
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