3D cameras or sensors inputting to multi-modal generative artificial intelligence models trained on images or videos

A remote sensing system comprising:

• an array of laser diodes configured to generate a light having an initial light intensity and one or more optical wavelengths, wherein the array of laser diodes comprises a plurality of emitters;
• wherein at least a portion of the one or more optical wavelengths is a near-infrared wavelength between 700 nanometers and 2500 nanometers, wherein at least a portion of the array of laser diodes comprises one or more Bragg reflectors, wherein the at least a portion of the array of laser diodes is further configured to be modulated with a pulsed output with a pulse duration of approximately 0.5 to 2 nanoseconds and a pulse repetition rate between about 10 Megahertz and 1 Gigahertz, wherein the array of laser diodes is further coupled to driver electronics;
• a first lens configured to receive at least a portion of the light from the array of laser diodes and configured to direct at least some of the portion of the light from the array of laser diodes to an object;
• a photodiode array, at least one second lens and one or more spectral filters in front of at least a part of the photodiode array, wherein the photodiode array is further coupled to a processor, and wherein the photodiode array comprises a plurality of pixels coupled to CMOS transistors;
• wherein the photodiode array is configured to receive at least a portion of light reflected from the object, and wherein the photodiode array is further configured to be synchronized to the at least a portion of the array of laser diodes comprising one or more Bragg reflectors;
• wherein the processor is configured to perform a time-of-flight measurement based on a time difference between a first time in which the at least a portion of the array of laser diodes generate light and a second time in which the photodiode array receives a received portion of light reflected from the object;
• wherein the processor is further configured to perform the time-of-flight measurement at least in part by measuring a temporal distribution of photons in the received portion of light;
• wherein the processor is configured to be coupled to a non-transitory computer readable medium;
• wherein at least a portion of the time-of-flight measurement is configured to serve as at least one input to a multi-modal generative artificial intelligence model configured to communicate with or operate at least in part on the processor;
• and
• wherein the multi-modal generative artificial intelligence model comprises a vision transformer configured to analyze an item in an input video or an input image, and wherein the vision transformer comprises self-attention and positional encoding layers.