Notrino Research is an R&D centre developing AI-powered digital technologies. We believe that the combination of talented people and a world-class technological infrastructure can ensure a sustainable future for all. Explore the website to review all our activities and find out how you can partner with us to shape the future.

Faceless AI Video Generator

Create professional videos effortlessly…

With ReelSane, you can;

  • * Generate high-quality faceless videos through a simple chat interface.
  • * Utilize AI to create detailed scenes with matching visuals and lifelike narrations.
  • * Produce multilingual content with synchronized audio and subtitles.

AI Powered Mobile ECG Patient Tracking System

The shortest way to your cardiologist…

Without going to the hospital, you can;

  • * Record your 6-lead ECG. Gain six times more information about your heart.
  • * Measure the oxygen level in your blood.
  • * Receive real-time health predictions supported by artificial intelligence.
  • * Instantly share your results with your doctor.

Real-Time Emotion Detection for Call Centers

Listens, understands, and provides solutions for your customers…

With Çağrı Asistanım™ specifically developed for call centers, you can;

  • * Track the emotional states of your customer representatives and clients.
  • * Monitor interruptions, pauses, and speaking durations to track call efficiency.
  • * Group your clients by age and gender predictions to narrow down your analysis.
  • * Let Çağrı Asistanım™ assist your representatives in real-time, enhancing call quality instantly.
Çağrı Asistanım

R&D Projects

Completed, Akdeniz University | TUBITAK 1507

Corithmica Vision: Remote PPG Atrial Fibrillation Detection from Camera using Remote PPG Signals

18 months of project and clinical studies have been successfully completed. As a result of the project, it was confirmed that AFib detection can be performed with 88% accuracy, 93% precision and 88% sensitivity by analysing the remote PPG signals of the participants using only the camera.

Completed, Akdeniz University | TÜBİTAK 1002

Determination of Rigidity Levels of Parkinson's Patients Using sEMG and Goniometer Signals

In collaboration with Akdeniz University, the rigidity levels of Parkinson's patients are classified with 84.7% accuracy, 86.6% precision and 80.4% sensitivity.

Completed, Akdeniz University | TÜBİTAK 1512

Clinical Validation of the ECG Analysis System Corithmica Core

It has been clinically proven that 93.6% accuracy, 94.1% precision, 93.7% sensitivity and 93.6% F1 value were achieved in the developed AFib diagnosis model.

In cooperation with Akdeniz University, Parkinson's disease is detected with 89.75% accuracy, 88.4% precision and 91.5% sensitivity using the human voice.

In the developed COVID-19 diagnosis model, 82.0% accuracy, 76.0% precision and 86.3% sensitivity values were achieved.

Completed, Akdeniz University | TÜBİTAK 1001

Development of Artificial Intelligence Supported Social Distance Detection Smart Camera Systems for Combating COVID-19

In cooperation with Akdeniz University, a social distance violation identification, warning and tracking system was developed from the camera.

Grants and Awards


Contact Information

Address: Üniversiteler Mah. İhsan Doğramacı Blv. AR-GE ve Eğitim Merkezi
No:13 ODTÜ Teknokent Çankaya/ANKARA