You will get a Computer Vision system for object detection - tracking using OpenCV/YOLO
Project details
You will get a high-performance Computer Vision system for object detection and tracking. As a Senior Engineer with a Master’s in Applied AI and published research in IEEE/ACM, I deliver production-ready solutions using OpenCV and the YOLO (v8-v11) architecture.
I specialize in transforming raw video data into actionable business intelligence. My approach focuses on balancing inference speed (latency) with high precision (mAP), ensuring the model performs reliably on your target hardware.
What sets this project apart:
Technical Transparency: I define the impact of lighting, noise, and obstructions on model accuracy from day one.
Academic Rigor: Solutions backed by deep knowledge in neural network optimization and computer vision theory.
Production Focus: Deliverables are optimized for real-world scenarios, including traffic, retail, or industrial automation.
Important: Model accuracy depends 100% on environmental conditions (lighting, resolution, and distance). I include a feasibility study to ensure the best possible results for your specific use case. Let's build your vision system today!
I specialize in transforming raw video data into actionable business intelligence. My approach focuses on balancing inference speed (latency) with high precision (mAP), ensuring the model performs reliably on your target hardware.
What sets this project apart:
Technical Transparency: I define the impact of lighting, noise, and obstructions on model accuracy from day one.
Academic Rigor: Solutions backed by deep knowledge in neural network optimization and computer vision theory.
Production Focus: Deliverables are optimized for real-world scenarios, including traffic, retail, or industrial automation.
Important: Model accuracy depends 100% on environmental conditions (lighting, resolution, and distance). I include a feasibility study to ensure the best possible results for your specific use case. Let's build your vision system today!
Machine Learning Tools
OpenCV, PythonWhat's included
| Service Tiers |
Starter
$700
|
Standard
$2,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 3 | 10 |
Number of Graphs/Charts | 1 | 5 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 5 Days)
+$200
Model Documentation
(+ 2 Days)
+$150
Data Source Connectivity
(+ 7 Days)
+$300
Docker Containerization
+$300Frequently asked questions
About Steven
Senior Software Engineer | Computer Vision & Applied AI Specialist
Quito, Ecuador - 12:44 am local time
With a Master’s Degree in Applied AI, I don't just write code; I design intelligent systems that solve complex business problems. My background includes leading technical teams and developing full-stack solutions for the financial sector at scale.
Why work with me?
- Enterprise-Grade Backend: Expert in Java (Spring Boot, WebFlux, Microservices, Eureka) for high-concurrency and reactive systems.
- Modern Frontend: Advanced UI development using React, Redux-Saga, and modern JavaScript for seamless user experiences.
- Applied AI & Vision: Specialist in implementing Computer Vision (YOLO, OpenCV) and Machine Learning models for real-world applications like automated detection and image processing.
- AI-Driven Efficiency: I leverage cutting-edge AI coding agents (Cursor, MCP, Claude Code) to accelerate development cycles and ensure top-tier code quality.
Technical Stack:
- Backend: Java (Spring Boot, JEE), Python (Flask/Django), Microservices, REST/SOAP.
- Frontend: React, Redux, Redux-Saga, JavaScript, TypeScript.
- AI/ML: Computer Vision, YOLO, OpenCV, Deep Learning, CNNs.
- Data & DevOps: SQL (MySQL, Oracle), NoSQL (MongoDB), Docker, CI/CD pipelines.
I am committed to engineering excellence and delivering systems that are not only scalable but future-proof. Let’s discuss how my dual expertise in Software Engineering and AI can add immediate value to your project.
Steps for completing your project
After purchasing the project, send requirements so Steven can start the project.
Delivery time starts when Steven receives requirements from you.
Steven works on your project following the steps below.
Revisions may occur after the delivery date.
Environmental Analysis & Feasibility Study.
I analyze your footage to identify potential challenges (lighting, noise, distance). I will define the technical feasibility and the expected accuracy range based on your specific scenario.
Dataset Pre-processing & Annotation.
Selection of keyframes and precise labeling of target objects. I apply data augmentation to improve model robustness against noise and lighting changes.