Free image upscaler
Identify burglars and robbers with CCTV image enhancement
How to improve security camera images?
Shoplifters exposed with CCTV footage
Finding the burglar
Frequently asked questions
About the Deep Learning models
This remains difficult with real world images as the verifying source image is obviously not present. Therefore we output result from several models. Its then up to the user to choose which fits best.
We are constantly reviewing new studies in computer vision to stay on top of the latest technology in the field of image restoration and optimization. We are working on more than one approach to present a certain accuracy with each output result.
One alternative could be to use a downstream vision task e.g. face recognition, to optimize the super-resolution model. But that requires a clients database access where we will face privacy restrictions.
About the manual editing of images
As stated above. Our users have to determine what output fits there need best. Based on that result we edit the image manually. In general no facial structures are added manually. Mostly superficial modifications like skin structure, hair, sharpness, brightness, colorization, etcetera.
In an expert workflow there is the option to review stages of results.
We currently do not offer to restore video files. However, we can assist in frame extraction for the best results for restoring your images.
About the legal side of image restoration for law enforcement
Write the answer to the question here. This way, your visitors can easily pick the questions that matter to them, without being distracted by loads of text from the FAQ.
Countries have different privacy laws, therefore we cannot answer this question. To determine the privacy laws applicable in your country its important to know that a restored image contains new pixels (data) dat have been added by our software that are not present in the source image.
At this point not. However we aim to offer only "state of the art" technology in the field of image restoration with deep learning models.