I will build computer vision ai for object detection, tracking,ocr and image processing
OTT Smart TV, Computer Vision and LiDAR Developer
About this Gig
You need computer vision that actually performs. Object detection that catches every target.
This gig solves that problem at the root.
With 7+ years building computer vision and AI systems, the work here covers object detection, object tracking, image segmentation, OCR, object recognition, image processing, video tracking, and deep learning pipelines for document processing, security, retail, manufacturing, and automation.
Here is What I Can Do for You:
- Custom AI Object Detection Systems
- YOLO Object Detection & Custom Model Training
- Real-Time Object Tracking & Multi-Object Tracking
- Image & Video Segmentation
- AI OCR & Document Text Recognition
- Intelligent Document Processing & Data Extraction
- CCTV, IP Camera & RTSP Video Analytics
- AI Object Counting & People/Vehicle Counting
- Computer Vision Quality Inspection
- AI Image Classification & Visual Recognition
- License Plate & ANPR Recognition
- AI Image Processing & Enhancement
- Edge AI Deployment for Jetson, Raspberry Pi & GPU
- Computer Vision Dashboard, Analytics & Automation
Tools & Frameworks:
- Python
- OpenCV
- TensorFlow
- Keras
- PyTorch
- Scikit-Learn
- Jupyter
- Google Colab
Ready to Build? Message me and let us get started Now!
My Portfolio
FAQ
1. What do you need from me to start?
Sample images or video, target objects or text to detect, and performance requirements such as frame rate, resolution, or latency. If labeled data exists, share it. If not, guidance on data collection and annotation is part of the process.
2. How fast can you deliver?
Basic detection models ship in 5 days. Standard tracking and OCR systems in 12 days. Premium computer vision AI pipelines in 21 days. Timeline depends on data complexity and deployment requirements. Rush options are available for urgent demos. Message before ordering to confirm feasibility.
3. What if changes are needed after delivery?
Every package includes revisions. Basic includes 1, Standard includes 2, Premium includes 3. Revisions cover accuracy tuning, class adjustments, and performance optimization. New feature requests or major scope changes are quoted separately, always confirmed before work starts.
4. Which tools are used?
YOLOv8 and YOLOv9 via Ultralytics handle detection. OpenCV manages image and video processing. PyTorch and TensorFlow support custom model training. Segmentation uses U-Net, Mask R-CNN, or SAM. OCR uses Tesseract, EasyOCR, or PaddleOCR.
5. Can custom or complex orders be handled?
Yes. Multi-camera systems, custom tracking algorithms, edge device deployment, document processing pipelines, and integration with existing platforms are all within scope. For anything outside the standard packages, message for a consultation before placing the order

