This paper presents a comparative analysis of the perceptual mechanisms between the human camera-type eye and the dragonfly compound eye, focusing on differences in optical structure, neural processing, and spatiotemporal interpretation. Humans possess a single-lens, high-acuity system optimized for static detail; dragonflies employ a multi-faceted compound eye (up to ~28,000 ommatidia per eye in large species) with low spatial but exceptionally high temporal resolution (critical flicker fusion ~200-300 Hz versus ~60 Hz in humans under bright light). The latter may enable a subjective “slow-motion” perception of the world. Dragonflies also have tetrachromatic vision extending into ultraviolet and polarization sensitivity—capabilities absent in human vision. We translate these biological insights into engineering, examining dragonfly-inspired devices for autonomous driving safety, particularly the fatigued driver scenario. A case study simulation shows that such a device could reduce highway departure impact severity from lethal (110 km/h) to survivable (40 km/h). A benefit-cost analysis, based on conservative assumptions (40% crash reduction, $400/unit cost), yields a benefit-cost ratio of 8.8:1, with an estimated annual societal benefit of $47 billion in the United States alone. Recent prototypes (HKUST, 2024; UVA, 2024; Rice University, 2026) have achieved 2× sensitivity, 400× power reduction, and 200× faster direction resolution. Major development challenges—manufacturing precision, low-light sensitivity, real-time processing, and material integration—are analyzed. The technology readiness level is assessed as TRL 4-5; commercialization is possible within 3-5 years with an estimated R&D investment of $17-35 million.
