Lately, more facial recognition systems have been popping up in all kinds of places. The courts are using facial recognition software to identify people at crime scenes, police departments use it to track people
It is very important to understand the difference between learning and techniques of training. There are many methods of training including scripted and back tracking jobs.
>You may have to focus on artificial intelligence if you're in the video surveillance company. It's a vital part of your security system, as it can dramatically reduce cost and the time of your surveillance project. Regardless, of whether you have the gear or not, using AI will provide you with an unparalleled degree of protection.
Technically, artificial intelligence can be divided into computer vision, speech recognition, natural language understanding, and machine learning and knowledge maps. In computer vision, face recognition has been the first to be applied, becoming the first burst point.
Although the technology itself is neutral, in the development process of artificial intelligence (AI), it is inevitable that some human biases will be introduced. To reduce this bias, IBM Research has just created a more diverse millions of faces dataset. In recent years, with the popularity of smart phones, facial recognition has been widely used in many fields. However, in some tests, some seemingly excellent AIs have even failed.
Facing the explosion of information and data, technology companies first solve the problem of storing historical data, and then improve their ability to handle current high-concurrency data operations. In the third step, they began to think about how to restore the accumulated data. If you consider data collection, transmission, storage, calculation and application as an industrial chain, calculation and application are the most valuable links among them.
The European Commission released the White Paper on Artificial Intelligence (hereinafter referred to as the