I will develop realtime computer vision systems with opencv and yolo
AI Engineer, Computer Vision, Deep Learning, Python and YOLO Expert
About this Gig
Develop High-Performance Real-Time Computer Vision Systems with OpenCV and YOLO
Are you looking for a real-time computer vision solution powered by OpenCV and YOLO? You're in the right place!
I specialize in developing fast, accurate, and custom computer vision systems for businesses, startups, researchers, and personal projects. Whether you need object detection, people detection, weapon detection, fall detection, PPE detection, or a completely custom AI vision solution, I can build a reliable system tailored to your requirements.
What I Can Develop
- Real-time Object Detection
- Custom YOLO Detection Models
- OpenCV-Based Computer Vision Applications
- CCTV Surveillance Systems
- Human Detection & Tracking
- Vehicle Detection & Counting
- Face Detection & Recognition
- Weapon Detection Systems
- Fall Detection Systems
- PPE (Helmet, Vest, Safety Gear) Detection
- Fire & Smoke Detection
- Parking Management Systems
- Industrial Quality Inspection
- Retail Analytics
- Smart Security Solutions
- Custom AI Vision Applications
Technologies I Use
- Python
- OpenCV
- YOLO (YOLOv8, YOLOv9, YOLOv10, YOLO11)
- Ultralytics
- TensorFlow (when required)
- PyTorch
- NumPy
- Raspberry Pi Integration
- IP Camera & USB Camera Support
APIs:
Microsoft Computer Vision AI
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Google Cloud Vision API
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
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MLflow
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Colab
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PyTorch
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
FAQ
What types of computer vision systems can you develop?
I can develop a wide range of real-time computer vision applications, including object detection, weapon detection, fall detection, face recognition, vehicle detection, people tracking, PPE detection, fire and smoke detection, retail analytics, industrial inspection, and custom AI vision solutions u
Can you build a custom YOLO model for my project?
Yes. I can train or fine-tune custom YOLO models using your dataset or publicly available datasets. If you don't have a dataset, I can also guide you on data collection, annotation, and the best approach for your project.
Will the system work with live cameras or CCTV feeds?
Absolutely. The system can process live video from webcams, USB cameras, IP cameras, RTSP streams, CCTV systems, as well as recorded videos and images. I can also optimize the application for real-time performance.
Can you deploy the application on Raspberry Pi or other devices?
Yes. I can deploy and optimize computer vision applications for Windows, Linux, Raspberry Pi, NVIDIA Jetson, and other supported edge devices, depending on your project requirements and hardware.
What do I need to provide before you start?
Please send me a detailed description of your project, your objectives, sample images or videos (if available), and any specific requirements. If your project requires a custom detection model, providing a dataset will help achieve the best results. Contact me before placing an order so we can discu
