I will develop real time ai vision systems for detection tracking and surveillance

T
talhaansari7
T
talhaansari7
Muhammad Talha

About this gig

Need a Custom Computer Vision Solution?

I develop AI-powered computer vision systems using Python, YOLO, OpenCV, and deep learning, tailored to your project requirements.


My Services Include:

·       Object detection, tracking, and counting

·       Custom YOLO model training and fine-tuning

·       Image and video annotation using CVAT

·       Dataset preparation, preprocessing, and augmentation

·       AI surveillance and real-time video analytics

·       Face detection and recognition

·       License plate recognition (ALPR/ANPR) and OCR

·       Gesture recognition and behavior analysis

·       Image processing and model evaluation

·       GPU acceleration and TensorRT optimization

·       Docker-based deployment and Git version control

·       Computer vision model integration


Why Choose Me?

I have hands-on experience in AI surveillance, underwater object detection, and real-time video analytics. I focus on clean code, practical solutions, and reliable implementation.


What You Get: Source code, model files, testing results, and setup documentation.


Message me before ordering to discuss your requirements and choose the right package for your project

Get to know Muhammad Talha

Muhammad Talha

Customer Satisfaction is my First Priority

  • FromPakistan
  • Member sinceJul 2020
  • Avg. response time1 hour
  • Last delivery1 year
  • Languages

    Urdu, English
I’m an AI Engineer and complete my MS in Artificial Intelligence and Autonomous Systems. I specialize in developing intelligent systems using machine learning, computer vision, and AI agent-based models. I’ve worked on real-world projects involving object detection, image classification, facial recognition, and automation. My skill set includes Python, OpenCV, GitHub, Docker, LLM, VLM and Automation. I’m committed to delivering scalable and innovative AI solutions tailored to your needs. Thank You!

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