
Developed an interactive Python example for the luxonis/depthai-core repository, enabling real-time adjustment of DOT and FLOOD projector intensity on OAK cameras. Leveraging skills in computer vision, embedded systems, and Python development, the work integrated live camera feed visualization with keyboard-driven controls to demonstrate projector management capabilities. This feature provided a practical, end-to-end demonstration of projector tuning, serving as an onboarding tool for developers exploring the depthai library. The implementation focused on user interaction and hardware control, offering a clear example of how to manage projector settings programmatically within embedded vision systems using Python and the depthai-core framework.
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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