Machines have outperformed humans in most tasks but human vision remains far superior. For ADAS and ultimately AV applications, having vision technology on par with human vision in efficiency, effectiveness, and to some extent reliability is necessary. With significant limitations on current imaging/camera technology, the world has jumped too prematurely into slapping other types of sensors that are more power and resource hungry and less reliable. Humans drive vehicles safely and they don’t have lidars or radars. As biology and nature have been the inspiration for much of the technology innovations, developing imaging technology that mimics the human eye seems to be a more prudent path. The time will come when additional sensing modalities will add unique value but the lower hanging fruit (performance versus price) is the proposed approach. Also unlike photos and videos we collect for personal consumption, machine vision is not about pretty images and the most number of pixels. Machine vision needs to simply extract the “best” actionable information very efficiently (in time and energy) from the available signal (photons). We advocate that there is significant room for improvement still by simply optimizing the architecture, in particular the signal processing chain from capture to action, and human vision is a perfect example of what’s possible. At Oculi, we have developed a new architecture for computer and machine vision that promises efficiency on par with human vision but outperforms in speed.