luxonis/depthai-core
Jan 2025 – Oct 2025
2 Months active
Languages Used
C++CMakePython
Technical Skills
C++Computer VisionDebuggingEmbedded SystemsTestingCamera Control
Jakob Socan
PROFILE
Jakob Socan
Jakob Socan contributed to the luxonis/depthai-core repository by developing automated manual focus testing for the camera subsystem and implementing exposure time limit controls for the RVC4 device. He used C++ and Python to build robust test suites that improved regression coverage, reduced QA cycle time, and stabilized test reliability in the face of hardware-related flakiness. Jakob’s work introduced configuration management enhancements, such as an expTimeLimit variable and keyboard-based controls, enabling more consistent image capture under variable lighting. His engineering focused on embedded systems and computer vision, delivering features that improved device usability and streamlined production deployment without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
72
Activity Months2
Your Network
40 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented RVC4 Exposure Time Limit Control in luxonis/depthai-core, introducing an expTimeLimit variable and keyboard-based adjustment to set the exposure time limit on the RVC4 device, with the configuration file version updated accordingly. This feature improves exposure management, enabling more consistent image quality across variable lighting and reducing operator manual tuning in production environments. The work delivers tangible business value by stabilizing device performance and enabling smoother production deployments.
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented RVC4 Exposure Time Limit Control in luxonis/depthai-core, introducing an expTimeLimit variable and keyboard-based adjustment to set the exposure time limit on the RVC4 device, with the configuration file version updated accordingly. This feature improves exposure management, enabling more consistent image quality across variable lighting and reducing operator manual tuning in production environments. The work delivers tangible business value by stabilizing device performance and enabling smoother production deployments.
October 2025
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025: Delivered automated manual focus testing for the camera subsystem in luxonis/depthai-core, including initialization checks, iterative focus adjustments, and test-suite reliability improvements to reduce flakiness. Implemented an initial manual focus config test and a flaky-test workaround to stabilize the test suite in the face of RVC4-related flakiness. These efforts enhanced regression coverage and reduced QA cycle time by providing clear commit-level traceability for test-related changes.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025: Delivered automated manual focus testing for the camera subsystem in luxonis/depthai-core, including initialization checks, iterative focus adjustments, and test-suite reliability improvements to reduce flakiness. Implemented an initial manual focus config test and a flaky-test workaround to stabilize the test suite in the face of RVC4-related flakiness. These efforts enhanced regression coverage and reduced QA cycle time by providing clear commit-level traceability for test-related changes.
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePython
Technical Skills
C++Camera ControlComputer VisionConfiguration ManagementDebuggingEmbedded SystemsTesting
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