You will get Real-Time Object Detection with YOLO & OpenCV (PC or Raspberry Pi)
Project details
I specialize in real-time object detection solutions using YOLO and OpenCV. Whether you're working on a PC, Raspberry Pi, or Arduino-based embedded system, I can deliver lightweight, fast, and accurate models for industrial or research applications. My work is grounded in deep learning, computer vision, and edge deployment practices, and I ensure a clean implementation with clear documentation and tested performance.
Machine Learning Tools
OpenCV, PythonWhat's included
| Service Tiers |
Starter
$80
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - |
About Hicham
AI & Computer Vision Expert | Deep Learning & Embedded Systems
Mohammedia, Morocco - 11:17 pm local time
I’m results-driven, detail-oriented, and committed to clear communication. My goal is to deliver reliable, efficient, and tailored solutions to meet each client’s unique needs.
Steps for completing your project
After purchasing the project, send requirements so Hicham can start the project.
Delivery time starts when Hicham receives requirements from you.
Hicham works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
I will review your specifications (target objects, deployment platform, sample images/videos) to clarify technical feasibility and confirm the scope.
Model Implementation & Testing
I will implement the YOLO-based detection model, integrate it with OpenCV, test it on PC or Raspberry Pi/Arduino, and validate it on sample data.