A system for quantized image generation , comprising: a sensor apparatus , comprising: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter, wherein the quantized image is an image with a number of bits less than a number of bits of the image acquired by the image sensor, wherein the quantization filter is a dither matrix and comprises, as elements, a plurality of threshold values determined based on a training process; and an output interface configured to output the quantized image, and an object recognition apparatus configured to recognize an object appearing in the quantized image using an object recognition model having a bit width corresponding to a bit width of the quantized image, wherein for the outputting of the quantized image, the output interface is configured to transfer the quantized image to the object recognition apparatus, wherein the training process comprises: generating a quantized training image by quantizing a training image using the quantization filter; acquiring a result label output from the object recognition model in response to the quantized training image being input to the object recognition model; and determining the elements by adjusting the elements of the quantization filter based on the output result label. a sensor apparatus , comprising: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter, wherein the quantized image is an image with a number of bits less than a number of bits of the image acquired by the image sensor, wherein the quantization filter is a dither matrix and comprises, as elements, a plurality of threshold values determined based on a training process; and an output interface configured to output the quantized image, and an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter, wherein the quantized image is an image with a number of bits less than a number of bits of the image acquired by the image sensor, wherein the quantization filter is a dither matrix and comprises, as elements, a plurality of threshold values determined based on a training process; and an output interface configured to output the quantized image, and an object recognition apparatus configured to recognize an object appearing in the quantized image using an object recognition model having a bit width corresponding to a bit width of the quantized image, wherein for the outputting of the quantized image, the output interface is configured to transfer the quantized image to the object recognition apparatus, wherein the training process comprises: generating a quantized training image by quantizing a training image using the quantization filter; acquiring a result label output from the object recognition model in response to the quantized training image being input to the object recognition model; and determining the elements by adjusting the elements of the quantization filter based on the output result label. generating a quantized training image by quantizing a training image using the quantization filter; acquiring a result label output from the object recognition model in response to the quantized training image being input to the object recognition model; and determining the elements by adjusting the elements of the quantization filter based on the output result label. <EOS>