Face Recognition
Summary
Build a complete facial identity authentication solution for checkin to events & security purposes.
Challenge
The challenge was to design a reliable and trustworthy facial identity authentication solution powered by deep learning algorithms, which delivers reliable, high-precision, and real-time facial recognition that is critical to AIoT applications such as smart security, smart city, smart banking, and smart home.
Required features:
- Carrying KYC procedures.
- Realtime face recognition.
- Unauthorized person detection.
- Face comparison from a video with a photo on a document.
- Trading bots that are adopted to the market automatically.
- Face comparison from a photo from social networks.
Solution
Uniting AI, deep learning and computer vision Ahlan Technology worked with the client to create a complete facial identity authentication solution. Our team was involved in the full project lifecycle, i.e. requirements exploration, the R&D phase, architecture design, development, testing, and delivery.
Duration & Team
The whole project needed 5 months to be completed.
Team:
- 2 Machine Learning Engineers
- 1 Data Scientist
- 1 Frontend Developer
- 1 Backend Developer
- 1 PM
- 1 BA
- 2 QA
