Fingerprint Recognition
Fingerprint Recognition
Fingerprint Recognition
From ML Pioneers to Next-Generation AI Solutions
Our client has been working with machine learning since the early 2000s and holds a strong position in fingerprint recognition. To take the next step and enhance their deep learning capabilities, they needed additional expertise and a strategy to expand the use of their technology.
In 2021, Softhouse appointed an AI specialist to accelerate development. Working closely with the client’s team, we have built a robust deep learning framework with automated pipelines and high reusability.
The Results:
- A scalable and flexible AI framework enabling faster innovation
- New application areas, including spoof detection and image synthesis
- Increased innovation through the supervision of deep learning thesis projects
Deep learning is now a strategic key for the client—both for technological advancements and securing new projects. With a stable and future-proof AI platform, they can continue to lead in biometric security—and we are proud to be part of their journey.
Project Details
Precise Biometrics
What? Fingerprint recognition through deep learning capabilities
Organization: Precise Biometrics
Industry: Technology
Number of employees: Approximately 20
Revenue: > Approximately 55 million SEK (2023)
Technologies and methods: Deep learning
DeepLearning
Deep Learning is a subset of machine learning that uses artificial neural networks to analyze large amounts of data and recognize patterns. It's commonly used in areas like image and speech recognition, autonomous vehicles, and advanced prediction.