I will develop opencv object recognition, deep learning image and video analysis apps
Object Detection Object Tracking Computer Vision YOLO OpenCV Python Automation
About this Gig
Need a custom computer vision application for image or video analysis?
I develop intelligent image and video processing solutions using Python, OpenCV, Deep Learning, YOLO, PyTorch, and TensorFlow. I can transform images, videos, camera feeds, and other visual data into useful automated insights.
What I can build:
Custom OpenCV applications
Image processing systems
Real-time video analysis
Object detection and recognition
Object tracking
Image classification
Image segmentation
Face detection and recognition
Pose estimation
Motion detection
Video analytics
CCTV analysis
Industrial visual inspection
People and vehicle analysis
Camera stream processing
AI-powered image analysis
Custom deep learning models
Computer vision automation
AI APIs and applications
I can integrate your computer vision model into a Python application, API, desktop application, web platform, dashboard, or real-time camera system.
Technologies
- Python
- OpenCV
- YOLO
- PyTorch
- TensorFlow
- NumPy
- ONNX
- Deep Learning
- Machine Learning
Contact me before ordering so I can review your project and recommend the right technical approach
Other Data Science & ML Services I Offer
FAQ
Can the app process real-time camera feeds?
Yes. I can develop systems that process webcams, IP cameras, RTSP streams, CCTV feeds, and recorded video.
Can you integrate YOLO into an OpenCV application?
Yes. YOLO can be integrated with OpenCV for real-time object detection, tracking, and video analysis.
Can you work with my existing AI model?
Yes. I can integrate, modify, optimize, or deploy an existing model depending on its framework and requirements.
Can you build a complete application?
Yes. I can develop the computer vision backend and integrate it into a desktop application, web application, API, or custom software.
Do you provide the source code?
Yes. Source code is included according to the selected package and agreed scope.
