ejustroboticsclub/MATE-ROV-2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++CMakeConfigurationPython
Technical Skills
API IntegrationBuild System ConfigurationC++ DevelopmentCMakeCamera CalibrationComputer Vision
tasbih
PROFILE
Tasbih
In April 2025, Otasbeeh contributed to the ejustroboticsclub/MATE-ROV-2025 repository by delivering three core features focused on build infrastructure, perception, and sensor calibration. He developed a scalable CMake-based build system for the Length Measurement Module, streamlining project setup and iteration. Using C++ and Python, he implemented automated invasive carp DNA detection from sample images, integrating Gemini Vision for sequence extraction and Levenshtein-based string matching for classification. Additionally, he updated Zed camera calibration profiles, improving depth perception and 3D reconstruction. These efforts enhanced system reliability, enabled faster feature delivery, and improved the accuracy of field imaging and measurement tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
35,737
Activity Months1
Your Network
14 people
Work History
April 2025
3 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered three core features across build infrastructure, perception, and sensor calibration, enhancing reliability, automation, and depth accuracy. Implemented a scalable CMake-based build setup for the Length Measurement Module, enabling faster iteration and onboarding. Delivered end-to-end invasive DNA detection from sample images by integrating Gemini Vision for sequence extraction and Levenshtein-based classification, enabling automated biodiversity screening. Updated Zed camera calibration and profiles to improve depth perception and 3D reconstruction through calibrated intrinsic/distortion and new stereo parameters. No explicit bug fixes were recorded this month; however, calibration fixes and build scaffolding contribute to system stability and maintainability. Overall, these efforts deliver measurable business value by enabling more accurate measurements, faster feature delivery, and improved field imaging capabilities.
3 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered three core features across build infrastructure, perception, and sensor calibration, enhancing reliability, automation, and depth accuracy. Implemented a scalable CMake-based build setup for the Length Measurement Module, enabling faster iteration and onboarding. Delivered end-to-end invasive DNA detection from sample images by integrating Gemini Vision for sequence extraction and Levenshtein-based classification, enabling automated biodiversity screening. Updated Zed camera calibration and profiles to improve depth perception and 3D reconstruction through calibrated intrinsic/distortion and new stereo parameters. No explicit bug fixes were recorded this month; however, calibration fixes and build scaffolding contribute to system stability and maintainability. Overall, these efforts deliver measurable business value by enabling more accurate measurements, faster feature delivery, and improved field imaging capabilities.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance66.6%
AI Usage46.6%
Skills & Technologies
Programming Languages
C++CMakeConfigurationPython
Technical Skills
API IntegrationBuild System ConfigurationC++ DevelopmentCMakeCamera CalibrationComputer VisionMachine LearningString Matching
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