According to the tag camera, the following results have been found:
Hello everyone! In the previous article, I already talked about how external factors can affect the speed and accuracy of facial recognition systems on video streams. Today we will talk about no less important internal aspects - the architecture of the system and the correct choice and configuration of equipment.
We are currently experiencing a revolutionary period when neural networks and AI are no longer something distant and alien, and are becoming more and more firmly established in our lives: schoolchildren solve examples with the help of Alice, programmers look for solutions in ChatGPT, artists have begun to master the art of refining images generated in Midjourney or Shadewroom. We are starting to adapt AI for ourselves. It is ordinary users, not multimillion-dollar corporations, that offer template solutions.
Let me say right away - high-resolution cameras will not solve your problems if you decide to build a facial recognition system. Alas, in most cases, the result will only get worse, and you will pay more!
Recently, news about Raspberry has been coming out with enviable regularity. For example, the bot in which I follow news about technology and artificial intelligence for my blog has been issuing news about Raspberry every day for the past two weeks, which has never happened before. And all this in the AI theme.
The German company Leica introduced the digital camera M11-D, which does not have a digital display. It is noted that the device is designed for those who want to focus on the process of creating photos and be less distracted, while still getting high-quality images and access to modern technologies.