Facial recognition system for secure office access

Overview
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Industry
Security
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Provided services
Data science, Backend development
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Type of the project
Secure identity verification service
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Duration
March 2019 — October 2020
About the project
When our partners needed secure, keyless access to their offices, we developed facial recognition software that could be easily added to their existing security. To get started, we developed an ML-powered facial recognition app with Python. The app has several neural networks for improved accuracy, regardless of lighting conditions and positioning, to protect their offices against face spoofing and fraud.
We decided to use ONNX Runtime Server for model serving and Flask as a wrapper to streamline API interactions for faster processing. And for deployment, we used a Kubernetes cluster on AWS EKS to make the software adaptable and reliable in live environments. The final tech gives seamless and secure identity verification, providing office access to individuals it recognizes and blocking access for those it doesn’t.
Project outcomes
- More secure offices with facial authentication.
- Eliminated the need for keys and passcodes, ending unauthorized access to offices.
- Scalable, high-performance software with Kubernetes on AWS EKS.
Stack
- — Backend
- Python 3
- PyTorch
- ONNX
- ONNX Runtime
- CuPy
- OpenCV
- SciPy
- Scikit-learn
- Albumentations
- Pandas
- NumPy
- Matplotlib
- PostgreSQL
- Docker
- Kubernetes
- AWS EKS
- Anaconda
Key features
Let’s talk
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Visit our HQ in
Cyprus, Nicosia, Griva Digeni, 81-83 Jacovides Tower, 1st floor
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Contact us directly via
Visit our HQ in
Cyprus, Nicosia, Griva Digeni, 81-83 Jacovides Tower, 1st floor
Meet our representatives in
The UK, Spain, Bulgaria, Poland, and over 15 other European countries