I will build face recognition and emotion detection ai system with opencv python


Über diesen Service
Need a reliable Face Recognition or Emotion Detection system? I build production-ready computer vision solutions in Python that work on live webcams, CCTV feeds and recorded video.
What I deliver:
- Real-time face detection & multi-face tracking (OpenCV, MediaPipe, Dlib, DeepFace)
- Face recognition for attendance, access control or visitor logging
- Emotion detection: happy, sad, angry, neutral, surprised, fearful
- Age & gender estimation, mask detection, liveness (anti-spoofing) checks
- SQL / CSV database logging with timestamps and reports
- Desktop GUI (Tkinter / PyQt5) or REST API (FastAPI) integration
Use cases: smart attendance, office security, retail analytics, classroom monitoring, driver alertness.
Why me:
- High-FPS optimized code, tested on CPU and GPU
- Clean, documented source code you fully own
- On-time delivery with post-delivery support
Please message me before ordering so I can confirm scope and give you an exact quote.
Lerne Usama kennen
Machine Learning and Deep Learning
- AusPakistan
- Mitglied seitMai 2023
Sprachen
Englisch, Deutsch
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FAQ
What data do you need from me?
For face recognition I need 5-10 clear photos per person. For emotion detection no data is needed, I use pre-trained models and fine-tune them on your footage if required.
Do I get the source code?
Yes! You will receive full source code along with instructions to run and deploy the model.
Can this AI model be used for my app or business?
Absolutely! The model will be optimized for deployment and ready to integrate with your project.
How long does it take to deliver?
Delivery time depends on the dataset size and project complexity. Typically, small to medium datasets are delivered within 3-5 days.
Can you improve an existing AI model?
Yes, I can fine-tune or upgrade your existing AI model for better performance and accuracy.

