Embedded 3D vision hardware for spatially-aware industrial systems
3dvisionlabs builds embedded 3D vision devices combining stereo depth sensing with AI inference—a hardware-first stack centered on Linux, C++, Python, and CUDA. The company is actively working on enterprise resource planning automation and financial process optimization, paired with rigorous embedded camera testing, signaling a transition from pure R&D toward operational scaling. The hiring mix skews junior (three interns) with minimal velocity, suggesting the team is still establishing core manufacturing and go-to-market workflows.
3dvisionlabs develops embedded 3D vision devices for industrial automation and spatial sensing applications, based in Chemnitz, Germany since 2017. The product combines stereo vision hardware with on-device AI inference, targeting machines that need to perceive and interact with physical environments. The technical foundation is Linux-based embedded systems (Yocto, systemd, Docker) with C++/Python for vision and inference pipelines, integrated via industrial protocols (PROFINET, Modbus). Current operational focus includes improving internal ERP and financial processes alongside release-cycle maturation for production hardware.
C++, Python, C, Rust, and C# across embedded firmware, vision processing, and backend services. CUDA is also active for AI inference acceleration.
Docker is in active use. The stack includes Linux, systemd, Yocto, and Bitbake for embedded Linux orchestration; Kubernetes is not listed.
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