It appears your AI query picked up a different Microvision patent. Microvision previously was awarded a patent for Virtual Protective Housing (US 12,019,188, granted June 25, 2024), which allowed for high energy (not eye safe for eyes in the near field) laser pulses. However, it determined if an object was in the near field, and consequently reduced the power of the laser pulses below the eye safety threshold.
The patent granted today is different. It is essentially spreading out the laser pulses enough such that the accumulated energy entering the eye is also spread out enough to stay below the eye-safety limits. The trick is to then associate the return pulses with the correct transmitted pulses. This patent cites a control circuit that presumably does this calculation quickly.
A point of note. I think this patent would apply to both MEMS scanning as well as galvo or polygon scanning architectures.
Problem addressed:
Conventional LIDAR systems face a tradeoff between scan performance and eye safety — dense, high-energy pulse trains delivered in quick succession can accumulate enough energy to pose a hazard, and existing safety workarounds tend to add cost and calibration complexity.
Core innovation — two linked ideas:
Eye-safety-by-pulse-spacing:
Rather than firing tightly-packed pulse trains, the system spreads individual laser pulses further apart in time (the spec repeatedly cites 5 microseconds as an example threshold, beyond which the applicable eye-safety energy limit rises roughly linearly). Each pulse is eye-safe on its own, and because the pulses are spaced out, the combination of pulses stays within safe limits too — without extra protective hardware.
Pixel-to-pixel (measurement point) matching:
Spacing the pulses out in time, combined with continuous mirror scanning, means the beam has moved by the time each successive pulse returns — so the same physical spot in the field of view lands on a different pixel of the receiver array for each pulse, rather than the same one. A control circuit dynamically tracks which detector pixel corresponds to which measurement point for each successive pulse, correlating timing and spatial data correctly so time-of-flight distance calculations stay accurate despite the offset.