jakaskerl
Thank you for your reply!
Unfortunately, using the OV9282 sensor with a long exposure time doesn’t seem suitable for our use case. I need to highlight an important requirement: detecting the blink of an eye in addition to other facial characteristics. While fast eyelid movements or transitions are not critical, we must accurately distinguish between open and closed eyes and measure the duration of each state with a resolution of at least 0.1 seconds. Therefore, a video capture frame rate of 30 fps or higher would be ideal.
For reference, we are currently experimenting with the OAK-D Pro, utilizing its integrated IR LED illumination. As shown in the attached picture, the image quality is quite poor, and the eyelid state cannot be reliably recognized by inference with our neural network. Even though the attached image is resized, the full-resolution image doesn’t offer significant improvement. We believe the unreliable inference is primarily due to the poor image quality.
Based on our experience with the OAK-D Pro, we are inclined to think that the OAK-4D Pro could deliver better image quality, in addition to offering broader possibilities for running neural networks.
We would greatly appreciate any suggestions or improvements (such as using a STARVIS sensor) that could enhance image quality.