MQTT, Bluethooth, VHDL, Python, Embedded C, UART
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Biometric identification is biological and behavioural traits of a person, such as fingerprints, face and voice. Although, IoT and wearable solutions increase make it possible to extend the existing system with new channels.
To verify if a person is the individual he/she claims to be. Alternately, it may be required to establish the identity of an unknown individual by comparison against a biometric database.
Signal measurements are made using the embedded electronics with a minimized analog front end. Data processing and classification are implemented to run in real-time on desktop or mobile platforms.The biometric system can be integrated in a cloud to improve the system performance over time using online learning. The core algorithms are based on mean filters, FIR filters, deep neural networks, wavelet transform, etc.
Hardware development for biosignal acquisition and algorithms for data processing and pattern recognition with high-level API for easy integration with customer environment.
Our latest challenges where technology meets creativity
Medical Image Segmentation
Bringing medical images to a human-readable format for further estimation
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