
Szabolcs worked extensively on the luxonis/depthai-core repository, delivering robust features and reliability improvements for embedded computer vision systems. Over twelve months, he developed and maintained depth alignment, video encoding, and runtime calibration workflows, integrating C++ and Python across firmware and host layers. His work included enhancing stereo depth pipelines, streamlining calibration via message queues, and improving device management with versioned firmware updates. Szabolcs addressed complex issues such as timestamp rollover in sensor data and cross-platform build consistency, applying skills in CMake, multithreading, and image processing. His contributions resulted in more predictable deployments, improved test coverage, and scalable device integration.

Concise monthly summary for 2025-10: Delivered a critical BNO08x timestamp rollover bug fix in luxonis/depthai-core, improving sensor timestamp reliability and data integrity. Strengthened deployment consistency by pinning the fixed firmware version in DepthaiDeviceSideConfig.cmake, ensuring devices use the patched firmware. All changes are tracked under commit 95e6eed0269003486e5e58b954a23a3dde68057f, enabling reproducible deployments and reducing timestamp-related anomalies across time-series data.
Concise monthly summary for 2025-10: Delivered a critical BNO08x timestamp rollover bug fix in luxonis/depthai-core, improving sensor timestamp reliability and data integrity. Strengthened deployment consistency by pinning the fixed firmware version in DepthaiDeviceSideConfig.cmake, ensuring devices use the patched firmware. All changes are tracked under commit 95e6eed0269003486e5e58b954a23a3dde68057f, enabling reproducible deployments and reducing timestamp-related anomalies across time-series data.
In August 2025, the depthai-core team delivered notable performance, reliability, and maintainability gains across RGBD/TOF processing, firmware, and code quality. Key improvements include enabling host-based ImgAlign execution to boost FPS, stabilizing RGBD/TOF frame rates to a default 30 FPS, and refactoring ToF properties and filters for cleaner configuration and maintenance. Data model enhancements and hierarchy updates improve clarity and downstream usage for RGBD pipelines. Significant maintenance investments included tests, clang-format standardization, and removal of warnings, alongside firmware updates for RVC2/RVC4 devices and ToF alignment sample enhancements. Overall, these efforts reduce regression risk, improve real-time perception capabilities, and accelerate development velocity while delivering tangible business value to device integrations and partners.
In August 2025, the depthai-core team delivered notable performance, reliability, and maintainability gains across RGBD/TOF processing, firmware, and code quality. Key improvements include enabling host-based ImgAlign execution to boost FPS, stabilizing RGBD/TOF frame rates to a default 30 FPS, and refactoring ToF properties and filters for cleaner configuration and maintenance. Data model enhancements and hierarchy updates improve clarity and downstream usage for RGBD pipelines. Significant maintenance investments included tests, clang-format standardization, and removal of warnings, alongside firmware updates for RVC2/RVC4 devices and ToF alignment sample enhancements. Overall, these efforts reduce regression risk, improve real-time perception capabilities, and accelerate development velocity while delivering tangible business value to device integrations and partners.
July 2025 monthly summary for luxonis/depthai-core: Focused on stabilizing runtime calibration and aligning firmware versions with RVC2/RVC4. Delivered runtime calibration management with setCalibration/getCalibration, EEPROM state handling, and thread-safety, plus a stereo runtime calibration example (Python script and camera socket updates). Updated firmware/config version strings to reflect RVC2/RVC4 releases and ensured getCalibration() returns the current calibration regardless of source. Fixed test alignment for set_runtime_calib with correct firmware commit. Result: more reliable calibration, safer concurrent access, and clearer firmware metadata. Technologies demonstrated include C++ mutex usage, test-driven development, Python scripting for calibration workflows, and firmware configuration/versioning.
July 2025 monthly summary for luxonis/depthai-core: Focused on stabilizing runtime calibration and aligning firmware versions with RVC2/RVC4. Delivered runtime calibration management with setCalibration/getCalibration, EEPROM state handling, and thread-safety, plus a stereo runtime calibration example (Python script and camera socket updates). Updated firmware/config version strings to reflect RVC2/RVC4 releases and ensured getCalibration() returns the current calibration regardless of source. Fixed test alignment for set_runtime_calib with correct firmware commit. Result: more reliable calibration, safer concurrent access, and clearer firmware metadata. Technologies demonstrated include C++ mutex usage, test-driven development, Python scripting for calibration workflows, and firmware configuration/versioning.
June 2025 monthly summary for luxonis/depthai-core focused on reliability improvements, firmware management, and architectural uplift for calibration workflows. Deliverables emphasize reducing operational warnings, stabilizing device firmware references, and enabling scalable calibration via messaging with serialization support.
June 2025 monthly summary for luxonis/depthai-core focused on reliability improvements, firmware management, and architectural uplift for calibration workflows. Deliverables emphasize reducing operational warnings, stabilizing device firmware references, and enabling scalable calibration via messaging with serialization support.
May 2025 — luxonis/depthai-core achieved: configurable object tracking; consolidated firmware updates across RVC2/RVC4 with performance and CI improvements; programmatic calibration via RPC; memory management and code quality enhancements; and broad stability fixes improving reliability and developer productivity. These changes reduce integration risk, enable faster feature adoption, and improve runtime efficiency and CI health.
May 2025 — luxonis/depthai-core achieved: configurable object tracking; consolidated firmware updates across RVC2/RVC4 with performance and CI improvements; programmatic calibration via RPC; memory management and code quality enhancements; and broad stability fixes improving reliability and developer productivity. These changes reduce integration risk, enable faster feature adoption, and improve runtime efficiency and CI health.
April 2025 monthly work summary for luxonis/depthai-core focused on delivering robust video encoding capabilities, enhanced object tracking configurability, and targeted bug fixes to improve reliability and release readiness.
April 2025 monthly work summary for luxonis/depthai-core focused on delivering robust video encoding capabilities, enhanced object tracking configurability, and targeted bug fixes to improve reliability and release readiness.
March 2025 monthly summary for luxonis/depthai-core focusing on delivering depth and video capabilities, strengthening reliability, and aligning firmware configurations for streamlined deployment. The month combined new feature bindings, expanded video encoding support, and targeted reliability fixes with broad test coverage to quantify progress and business impact.
March 2025 monthly summary for luxonis/depthai-core focusing on delivering depth and video capabilities, strengthening reliability, and aligning firmware configurations for streamlined deployment. The month combined new feature bindings, expanded video encoding support, and targeted reliability fixes with broad test coverage to quantify progress and business impact.
February 2025 was focused on enhancing depth estimation control for RVC4, ensuring consistent Script behavior, and aligning firmware across RVC devices to improve reliability and deployment efficiency. Key work emphasized delivering configurable depth flags, stabilizing defaults, and consolidating device firmware/versioning across builds and docs.
February 2025 was focused on enhancing depth estimation control for RVC4, ensuring consistent Script behavior, and aligning firmware across RVC devices to improve reliability and deployment efficiency. Key work emphasized delivering configurable depth flags, stabilizing defaults, and consolidating device firmware/versioning across builds and docs.
January 2025 monthly summary for luxonis/depthai-core focusing on expanding undistortion capabilities, stabilizing post-processing, and aligning the project with modern development practices. Key feature deliveries include adding an undistort operation in ImageManipV2, introducing an optional undistortion flag (std::optional), refining the undistort API by removing the Undistort OP and providing a flag with accessors, and delivering a practical RVC2 camera undistortion example. Firmware updates across RVC2/RVC4/ImageManipV2 standardize data outputs and improve frame transformation handling. Notable bug fixes in stereo post-processing, post-processing-related disparity scaling, and stability improvements, along with improvements to bindings and tests. These changes reduce integration risk, improve depth accuracy, and accelerate development workflows.
January 2025 monthly summary for luxonis/depthai-core focusing on expanding undistortion capabilities, stabilizing post-processing, and aligning the project with modern development practices. Key feature deliveries include adding an undistort operation in ImageManipV2, introducing an optional undistortion flag (std::optional), refining the undistort API by removing the Undistort OP and providing a flag with accessors, and delivering a practical RVC2 camera undistortion example. Firmware updates across RVC2/RVC4/ImageManipV2 standardize data outputs and improve frame transformation handling. Notable bug fixes in stereo post-processing, post-processing-related disparity scaling, and stability improvements, along with improvements to bindings and tests. These changes reduce integration risk, improve depth accuracy, and accelerate development workflows.
December 2024 monthly summary for luxonis/depthai-core focusing on delivering depth alignment improvements, config/firmware updates, and robustness enhancements to drive reliable performance across devices. Key outcomes include depth-to-image alignment via ImageAlign, cleanup of StereoDepth presets, firmware/config versioning for RVC2/RVC4, default access to undistortion, and restored error checking with remapped rectangles. These changes reduce configuration complexity, improve depth accuracy, and strengthen cross-platform reliability, contributing to faster deployment and stronger business value.
December 2024 monthly summary for luxonis/depthai-core focusing on delivering depth alignment improvements, config/firmware updates, and robustness enhancements to drive reliable performance across devices. Key outcomes include depth-to-image alignment via ImageAlign, cleanup of StereoDepth presets, firmware/config versioning for RVC2/RVC4, default access to undistortion, and restored error checking with remapped rectangles. These changes reduce configuration complexity, improve depth accuracy, and strengthen cross-platform reliability, contributing to faster deployment and stronger business value.
Month: 2024-11 — Luxonis/depthai-core. This monthly summary focuses on business value delivered, key technical improvements, and platform readiness across RVC2/RVC4, with emphasis on image alignment, stereo processing, depth utilities, and test coverage. Key features delivered: - Image Align: Image-to-Image Alignment and Intrinsics Enhancements. Added support for image-to-image alignment in ImageAlign and improved intrinsic handling by carrying intrinsics via ImgFrame; updated RVC4 ImageAlign integration. - Stereo core enhancements: Added new stereo presets to streamline configurations and introduced depth alignment optimizations via platform-specific improvements; updated stereo profile presets. - Depth and visualization: DepthOverlay on undistorted RGB for DepthAlign; inputs for StereoDepth extended (inputAlignTo); RVC2/RVC4 firmware updates to latest revisions. - Testing and examples: Expanded test coverage for ImageAlign (tests and depth-to-image scenarios) and added end-to-end ImageAlign example plus depth alignment Python examples. - Firmware and platform updates: RVC2/RVC4 firmware updates, OS-related adjustments for RVC4, and merging ongoing work from development branches. Major bugs fixed: - ImgTransformation: correct optical center scale factor; FW/Core: fix ImgTransformation intrinsics. - FW: fix cyclical extrinsics check. - Stereo: edge-case handling in PostProcessing and fix when decimation precedes median. - ImageAlign tests: addressed failures on RVC2 and added tests for depth-to-image scenarios. - Camera/socket API alignment: replace deprecated camera socket left with CAM_B constant. - Preset configuration cleanup: removed HIGH_ACCURACY2 preset in config. Overall impact and accomplishments: - Improved accuracy and reliability of image-to-depth pipelines across devices, with broader test coverage, updated firmware, and clearer presets, enabling faster development cycles and more predictable deployments. Technologies/skills demonstrated: - C++ firmware and Python tooling, image processing concepts (intrinsics, depth, distortion), test-driven development, cross-platform optimization, and end-to-end integration testing across firmware and software layers.
Month: 2024-11 — Luxonis/depthai-core. This monthly summary focuses on business value delivered, key technical improvements, and platform readiness across RVC2/RVC4, with emphasis on image alignment, stereo processing, depth utilities, and test coverage. Key features delivered: - Image Align: Image-to-Image Alignment and Intrinsics Enhancements. Added support for image-to-image alignment in ImageAlign and improved intrinsic handling by carrying intrinsics via ImgFrame; updated RVC4 ImageAlign integration. - Stereo core enhancements: Added new stereo presets to streamline configurations and introduced depth alignment optimizations via platform-specific improvements; updated stereo profile presets. - Depth and visualization: DepthOverlay on undistorted RGB for DepthAlign; inputs for StereoDepth extended (inputAlignTo); RVC2/RVC4 firmware updates to latest revisions. - Testing and examples: Expanded test coverage for ImageAlign (tests and depth-to-image scenarios) and added end-to-end ImageAlign example plus depth alignment Python examples. - Firmware and platform updates: RVC2/RVC4 firmware updates, OS-related adjustments for RVC4, and merging ongoing work from development branches. Major bugs fixed: - ImgTransformation: correct optical center scale factor; FW/Core: fix ImgTransformation intrinsics. - FW: fix cyclical extrinsics check. - Stereo: edge-case handling in PostProcessing and fix when decimation precedes median. - ImageAlign tests: addressed failures on RVC2 and added tests for depth-to-image scenarios. - Camera/socket API alignment: replace deprecated camera socket left with CAM_B constant. - Preset configuration cleanup: removed HIGH_ACCURACY2 preset in config. Overall impact and accomplishments: - Improved accuracy and reliability of image-to-depth pipelines across devices, with broader test coverage, updated firmware, and clearer presets, enabling faster development cycles and more predictable deployments. Technologies/skills demonstrated: - C++ firmware and Python tooling, image processing concepts (intrinsics, depth, distortion), test-driven development, cross-platform optimization, and end-to-end integration testing across firmware and software layers.
Month: 2024-10 — DepthAI-core: Device-side software version bump to align device and host builds, with updated CMake configuration and explicit commit reference. Focused on improving traceability, QA reproducibility, and field diagnostics by ensuring the device-side software version matches the deployed build.
Month: 2024-10 — DepthAI-core: Device-side software version bump to align device and host builds, with updated CMake configuration and explicit commit reference. Focused on improving traceability, QA reproducibility, and field diagnostics by ensuring the device-side software version matches the deployed build.
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