Build a Custom Computer Vision and OCR System by Arslan MehmoodBuild a Custom Computer Vision and OCR System by Arslan Mehmood
Build a Custom Computer Vision and OCR SystemArslan Mehmood
Cover image for Build a Custom Computer Vision and OCR System
I will design and develop a custom computer vision and OCR system for your images, videos, documents, or real-time monitoring workflows.
The solution can automatically detect, classify, track, inspect, and extract information from visual data—helping your business replace manual review with accurate and scalable automation.
Depending on your requirements, the system may include:
🔹 Custom object detection and classification 🔹 Image and video processing pipelines 🔹 Object tracking across video frames 🔹 OCR and text extraction from images or video 🔹 License plate, label, product, or document recognition 🔹 Quality inspection and defect detection 🔹 Retail shelf and product monitoring 🔹 Vehicle, boat, person, or equipment detection 🔹 Custom dataset preparation and labeling workflows 🔹 Model training, fine-tuning, and evaluation 🔹 FastAPI backend and API integration 🔹 Batch or real-time processing 🔹 Docker and cloud deployment 🔹 Processing dashboards, reports, and structured outputs
I work with technologies such as YOLO, OpenCV, PaddleOCR, Python, FastAPI, Docker, and cloud infrastructure to build reliable systems designed for real-world use.
I can support the complete development lifecycle—from requirements analysis and architecture to model development, backend integration, deployment, and performance improvement.
This service is suitable for industrial inspection, retail analytics, surveillance, document processing, logistics, media processing, and custom visual automation projects.
Please message me before ordering so I can review your data, required accuracy, processing volume, and deployment environment.
FAQs

Starting at$35 /hr
Tags
AWS
Hugging Face
OpenCV
Python
computer vision
model training
ocr
yolo
Service provided by
Arslan Mehmood Lahore, Pakistan
Build a Custom Computer Vision and OCR SystemArslan Mehmood
Starting at$35 /hr
Tags
AWS
Hugging Face
OpenCV
Python
computer vision
model training
ocr
yolo
Cover image for Build a Custom Computer Vision and OCR System
I will design and develop a custom computer vision and OCR system for your images, videos, documents, or real-time monitoring workflows.
The solution can automatically detect, classify, track, inspect, and extract information from visual data—helping your business replace manual review with accurate and scalable automation.
Depending on your requirements, the system may include:
🔹 Custom object detection and classification 🔹 Image and video processing pipelines 🔹 Object tracking across video frames 🔹 OCR and text extraction from images or video 🔹 License plate, label, product, or document recognition 🔹 Quality inspection and defect detection 🔹 Retail shelf and product monitoring 🔹 Vehicle, boat, person, or equipment detection 🔹 Custom dataset preparation and labeling workflows 🔹 Model training, fine-tuning, and evaluation 🔹 FastAPI backend and API integration 🔹 Batch or real-time processing 🔹 Docker and cloud deployment 🔹 Processing dashboards, reports, and structured outputs
I work with technologies such as YOLO, OpenCV, PaddleOCR, Python, FastAPI, Docker, and cloud infrastructure to build reliable systems designed for real-world use.
I can support the complete development lifecycle—from requirements analysis and architecture to model development, backend integration, deployment, and performance improvement.
This service is suitable for industrial inspection, retail analytics, surveillance, document processing, logistics, media processing, and custom visual automation projects.
Please message me before ordering so I can review your data, required accuracy, processing volume, and deployment environment.
FAQs

$35 /hr