Systems and methods for synthetic augmentation of cameras using neural networks

A method to transfer image data on bandwidth constrained communication channels, the method comprising:

• downscaling images and transferring the downscaled images over a communication channel using neural networks;
• upscaling using generative networks to restore an original image from a downscaled image;
• utilizing hardware encoders and decoders to process images using neural networks;
• interleaving large images with small images and using neural networks to upscale smaller images to match a resolution of larger images;
• and
• creating a mosaic of images by finding overlapping sections of imagery and sampling pixels from multiple images to achieve a higher resolution using neural networks.

A method of removing personally identifiable information from camera video feed using hardware accelerated neural networks, the method comprising:

• blurring and obfuscating personally identifiable information including faces, gait, and unique signatures;
• blurring and obfuscating vehicular data including license plates, VIN numbers and personnel driving or operating vehicles within camera data;
• and
• before exposing image data to a computing device, ensuring privacy compliance at a sensor level instead of an application layer.

A method of improving or denoising camera data using hardware accelerated neural networks, the method comprising:

• inpainting pixel data using neural networks to remove artifacts including rain, dust, glare, and adverse effects;
• optimizing image quality in low light conditions by using neural networks to optimize contrast and clarity within images;
• and
• inferring sections of the image which are occluded by objects using generative networks.