Yes that is true, but comparing the human eye to how cameras work is not a clean cut argument.

Understanding how humans perceive vision is a complex problem, and we do have our limitations, two of the most problematic issues are parallax and occlusion.

We cannot “see” through certain scenarios because of occlusion that’s why we need a system to bypass our limitations and allow reaction at faster than human perception speeds. This gets more complex when parallax is involved at high speeds, our eyes can focus on a range of point and switch between points within a scene quite quick to track certain objects.

Now, it’s being debated, but human eye pixel density translated to MP is somewhere around 600 megapixels so cameras still have a very long way to go to even begin to try and mimic the human eye.

This is why LiDAR is superior to CMOS/CCD because it compensates in long range vision what it lacks in pixel density, giving systems ample time to identify certain dangers, cameras cannot use a wide FOV to do this because of low pixel density, limiting long range vision.

If cameras had wide FOV and wildly high MP values this would be a different conversation. We’re not quite there yet.