Information about received EU funds

The support agreement signing date is December 23, 2024.

Thanks to European Funds, we will develop a new technology for conducting eye-tracking research based on accelerated calibration using machine learning.

• Funding Agreement No. FENG.01.01-IP.02-2269/23
  Utilization of machine learning to enhance calibration and improve the quality of results in webcam eye-tracking research.
• The project includes the implementation of:
  1. R&D module – focused on developing a significantly improved webcam eye-tracking system based on machine learning techniques and neural networks. This system aims to facilitate calibration and research execution within the webcam eye-tracking service, making the process more accessible and user-friendly.
  2. Internationalization module – dedicated to promoting webcam eye-tracking services as an innovative solution for the marketing and education sectors at international trade fairs.
• Scope of Work:As part of the R&D Module, three main tasks/phases will be carried out:
  1. Development of the initial model
  • Creating a program for collecting training data
  • Collecting training data
  • Developing a program for data export
  2. Accuracy testing application and validation
  • Developing an application for accuracy testing
  • Conducting accuracy tests
  3. Integration with the RealEye.io platform
  • Preparing the RealEye.io platform for the new engine
  • Optimizing the model for the web environment
  • Publishing the solution on RealEye.io
  • Finalizing the project
• Planned Outcome:The R&D Module focuses on developing an improved webcam eye-tracking system that will enable:
  • Faster panelist calibration before testing – reducing the calibration process from 27 seconds to a maximum of 20 seconds.
  • Head movement tracking during testing – allowing panelists to move their heads within a ±10 cm range in all directions and planes during the test.
  • Higher accuracy – improving system accuracy from the current average of 113px to 100px, measured as the average result across a 35-cell screen grid.The company will conduct R&D activities in collaboration with subcontractors and a research institution, ensuring the successful implementation and verification of the project objectives.The Internationalization Module aims to further expand the global reach of the company’s webcam eye-tracking services, specifically the online platform for conducting eye-tracking and neuromarketing/neuroscience research via the internet.
• Recieved funds:

• • The total cost of the project implementation amounts to 5,336,322.68 PLN.
  • The total funding amount is 2,876,183.60 PLN.

04/2019

RealEye sp. z o. o. is a part of Polish National Centre for Research and Development program

• Topic: Create stereo-vision eye-tracking hub using mobile and desktop cameras at the same time
• Planned effect: Twice much better gaze-point prediction using stereo-vision with mobile and desktop cameras. If succeeded - this setup might be used as a game controller to enhance player's gaming experience.
• Amount received:

• • USD $40.000 - SpeedUp BridgeAlfa fund, from SpeedUp Group
  • USD $160.000 - NCBR (Polish National Centre for Research and Development)