
In April 2025, Petr Hodina developed an interactive Python example for the luxonis/depthai-core repository, focusing on projector intensity control for OAK cameras. Leveraging his expertise in computer vision, embedded systems, and Python development, he implemented live camera feed visualization and keyboard-driven controls to adjust DOT and FLOOD projector settings in real time. This end-to-end demonstration showcased the depthai library’s projector management capabilities and addressed the need for practical onboarding tools for developers. The work provided a clear, user-facing example of projector tuning, offering both technical depth and immediate utility for those integrating OAK camera features into their workflows.

April 2025: Delivered an interactive Python example for adjusting projector intensity on OAK cameras within luxonis/depthai-core, showcasing DOT and FLOOD projector controls, live camera feeds, and keyboard-driven interaction. This demo highlights the depthai library's projector management capabilities and serves as a practical onboarding tool for developers.
April 2025: Delivered an interactive Python example for adjusting projector intensity on OAK cameras within luxonis/depthai-core, showcasing DOT and FLOOD projector controls, live camera feeds, and keyboard-driven interaction. This demo highlights the depthai library's projector management capabilities and serves as a practical onboarding tool for developers.
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