X-ray inspection systems for cargo, luggage, and personnel screening
VMI Security manufactures and deploys X-ray inspection equipment for high-security environments—airports, ports, customs, prisons, and events. The tech stack reveals a hardware-software hybrid: PLC and embedded systems (C++, Python) paired with computer vision (OpenCV, TensorFlow, PyTorch) and annotation infrastructure (CVAT). Active hiring is engineering-heavy with a skew toward junior roles, while the project list (AI-based image analysis, ML training pipelines, X-ray image annotation) signals a shift from pure hardware toward autonomous inspection—a capital-intensive upgrade that requires data labeling infrastructure and model training.
VMI Security Systems manufactures X-ray scanning equipment for security screening across government, transportation, and critical-infrastructure sectors. Founded in 1985 and headquartered in Miami, the company operates across 201–500 employees with manufacturing and logistics capabilities, supported by a technical service network. Core products span luggage, cargo, personnel, and container inspection systems. The product portfolio is actively expanding, and the company is building out AI-driven image analysis to reduce manual inspection labor and improve detection accuracy.
Core stack: PLC, C++, Python, TensorFlow, PyTorch, OpenCV for computer vision. Supporting tools: Flask, Docker, Git/GitHub/GitLab, Linux, Zoho CRM, Power BI, AutoCAD, SolidWorks. Manufacturing planning via Oracle Primavera and Microsoft Project.
Core initiatives: AI-based image analysis, ML training and inference pipelines, X-ray inspection solution development, data labeling and annotation (CVAT-based), X-ray image analysis platform, and NLP report analysis. Also addressing inventory accuracy and portfolio growth management.
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