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Fiverr Pro
English
$
USD
I will do object detection, counting, tracking and face recognition
Understand, Think and Achieve
My professional title is Data Scientist, and I focus on Machine Learning, Data Analysis, Computer Vision, and RAG AI Chatbots. I have experience working with Python, SQL, Scikit-learn, OpenCV, TensorF...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Many businesses collect video, CCTV footage, or images but cannot extract useful insights from them:
- You cannot automatically count people, cars, or objects
- You need accurate tracking instead of unreliable motion detection
- You want face recognition but privacy-safe and scalable
- Existing solutions are expensive, inaccurate, or not customized
I solve this using custom Computer Vision & AI systems tailored to your exact use case.
What I will build for you
I develop reliable, production-ready AI solutions for:
- Object detection (people, vehicles, products, custom objects)
- Object counting (traffic, retail, footfall, inventory)
- Multi-object tracking (real-time or recorded video)
- Face recognition (secure, optimized, and compliant)
- Image, video, webcam, and CCTV (RTSP) inputs
Why you should choose this service
- Problem-focused solution, not just code
- Clear communication & realistic timelines
- Scalable from demo to production
- Experience with real CCTV and multi-camera setups
Lets turn your visual data into real intelligence.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What information do you need before starting?
I need a clear description of your use case, input type (image, video, or live stream), objects or faces to detect, and whether processing should be real-time or offline. If you have sample data, sharing it will significantly improve accuracy and delivery speed.
Can you work with live CCTV or RTSP camera streams?
Yes. I support RTSP, IP cameras, webcams, and recorded CCTV footage. Real-time performance depends on resolution, FPS, and available hardware (CPU/GPU).
Do you train custom models or only use pre-trained ones?
Both. For quick projects, I use high-quality pre-trained models. For higher accuracy or custom objects, I can fine-tune or train models using your dataset.
Can your solution count objects accurately?
Yes. I use tracking-based counting, not simple frame counting. This avoids double counting and works reliably for people, vehicles, and moving objects.
Is face recognition secure and privacy-safe?
Yes. Face recognition is implemented locally, without third-party APIs. No data is stored or shared unless explicitly requested, helping you stay compliant with privacy regulations.
