Eye tracking technology with the Xilinx Zynq SoC allows the eyes to control the computer

How to control the computer? With the mouse and keyboard, we have always done this. Eye tracking technology will change this traditional perception, and EyeTech Digital allows the eyes to control the computer as well. This technology brings the gospel to people with physical defects such as muscle sclerosis and hand disability, allowing them to control the computer independently with only the eyes. At the same time, this technology frees both hands, and those who have their hands occupied and have to use a computer, such as a surgeon, can use the eye-based control interface to operate the computer well to do what they have to do.
EyeTech Digital Systems uses the Xilinx Zynq SoC to implement eye tracking technology in its products. For the company, the Zynq SoC is “perfect fit, at the perfect TIme”. The following is a description video:

As early as 1996, EyeTech was already researching tracking algorithms, but at the time it was based on PCs running these algorithms. However, EyeTech wants to use this technology to control other types of devices, such as tablets and automotive applications, which requires implementing this technology on a compact embedded device. The emergence of Xilinx Zynq perfectly solved this problem.

So, how do you implement the eye tracking algorithm perfectly on the Xilinx Zynq SoC? Just four steps, EyeTech tells you.
1. Develop new, more accurate algorithms on Matlab for testing and debugging on a PC;
2. Create an initialized hardware and software partition for the Zynq SoC;
3. Export the code to one of the Cortex-A9 dual-core processors. The original algorithm imported previously can run at 40fps. The new algorithm developed by Matlab can only run at 1fps, which is a huge problem.
4. Allocate some algorithm processing to Zynq SoC programmable logic acceleration, and the performance is improved to the expected level.
According to Robert Chappell, Chairman and CEO of EyeTech, this development process makes it easier to try and refine the algorithm. He also said that EyeTech found that thanks to the combination of the ARM Cortex-A9 processor programmed with Zynq SoC software and programmable logic, hardware and software partitioning can be easily changed in the design. In addition, there is a benefit that power consumption is already lower than expected, Chappell added.

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