You will get a reliable OpenCV computer vision pipeline built or debugged
Project details
Need a reliable OpenCV or computer vision pipeline built, improved, or debugged?
I will develop a focused Python/OpenCV solution for images or video based on your sample data and expected output. This service is suitable for image preprocessing, segmentation, contour extraction, object detection post-processing, tracking, geometry analysis, coordinate calculation, visualization, and debugging existing pipelines.
My workflow is practical and test-driven: define the input and expected output, build or diagnose the pipeline, validate it on representative test cases, and deliver clean source code with clear notes.
You will receive a working pipeline or fix, source code, validation results, and a clear handover. My background includes robotics, computer vision, OpenCV, NumPy, YOLO, image-based localization, and real-world camera systems.
Large-scale annotation, full model training, cloud deployment, and hardware integration are not included by default and should be discussed before ordering.
I will develop a focused Python/OpenCV solution for images or video based on your sample data and expected output. This service is suitable for image preprocessing, segmentation, contour extraction, object detection post-processing, tracking, geometry analysis, coordinate calculation, visualization, and debugging existing pipelines.
My workflow is practical and test-driven: define the input and expected output, build or diagnose the pipeline, validate it on representative test cases, and deliver clean source code with clear notes.
You will receive a working pipeline or fix, source code, validation results, and a clear handover. My background includes robotics, computer vision, OpenCV, NumPy, YOLO, image-based localization, and real-world camera systems.
Large-scale annotation, full model training, cloud deployment, and hardware integration are not included by default and should be discussed before ordering.
Machine Learning Tools
OpenCV, Python, PyTorchWhat's included
| Service Tiers |
Starter
$55
|
Standard
$150
|
Advanced
$325
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$75
Additional Scenario
(+ 1 Day)
+$45
Model Documentation
(+ 1 Day)
+$40Frequently asked questions
About Brandon
C++ & Python Software Engineer | ROS, Computer Vision, Debugging
Singapore, Singapore - 10:32 pm local time
I help clients solve technically challenging software problems by understanding the existing system, identifying the root cause, and delivering clean, tested, and maintainable solutions.
My core services include:
• C++ and Python debugging, feature development, and code improvement
• ROS/ROS2 nodes, state machines, topics, services, launch files, and system integration
• Computer vision development using OpenCV and YOLO
• Algorithm implementation, numerical computing, data processing, and control logic
• Web application development, bug fixing, API integration, and backend–frontend connectivity
• Dashboards, internal tools, automation utilities, and data-driven applications
• Research-code reproduction, restructuring, and prototype development
• Communication between software modules, embedded controllers, sensors, and robotic systems
• Simulation, Linux environment troubleshooting, Git workflows, and technical documentation
I am currently pursuing an MSc in Robotics at the National University of Singapore and conducting research at the Advanced Robotics Centre and the Singapore-MIT Alliance for Research and Technology.
Previously, I led the perception, decision-making, chassis control, and ROS software development of a nationally awarded autonomous competition robot. I developed more than 30,000 lines of C++ and Python code involving state machines, computer vision, multisensor localization, real-time control, and physical-robot debugging. Our team received two National First Prizes and one National Second Prize.
My current research focuses on model-based and learning-based control for hyper-redundant robots, including computer vision, kinematics, neural-network deployment, simulation, and physical-system validation. This experience has trained me to work carefully with complex systems where correctness, reliability, and integration matter.
My engineering process is straightforward:
1. Understand and reproduce the issue
2. Confirm the expected result and technical constraints
3. Identify the root cause
4. Implement a focused and reliable solution
5. Test the result and check for regressions
6. Provide clear documentation and handover instructions
I am especially effective on projects involving difficult bugs, complex logic, unfamiliar codebases, algorithmic implementation, system integration, and software that needs to move from an incomplete prototype to a working deliverable.
Please send me the project files or repository, current issue, target environment, and expected result. I will review the scope and propose a clear implementation plan.
I value clear communication, clean code, practical solutions, and dependable delivery.
Steps for completing your project
After purchasing the project, send requirements so Brandon can start the project.
Delivery time starts when Brandon receives requirements from you.
Brandon works on your project following the steps below.
Revisions may occur after the delivery date.
Define the input and expected output
I will review your sample images, video, existing code, and expected results to confirm the scope and success criteria.
Build or debug the pipeline
I will implement the required OpenCV processing stages or diagnose and correct the existing pipeline.