The Pros and Cons of IT Things to Help You Make Decisions

While creating a lot of Quality Assurance-related opportunities in a number of industries, Image Recognition is known to be a sheer game changer in the security and surveillance industry.

However, besides the above, more widely known uses, the Image Recognition technology has a number of other, often unexpected, promising applications. Some of these applications are associated with human appearance.

It is important to know not only what you can expect of a well-developed face recognition system, but also how you can maximize its potential through its optimal installation and correct use.

Our company is proud to announce its Information Partner involvement in the increasingly popular Colins AI conference, held annually and devoted this year to the most recent advances in Natural Language Processing and Intelligent Systems. The Conference is due to take place April 18-19, 2019, and will be hosted by the National Technical University NTU "KhPI" (Kharkiv, Ukraine).

The characteristics and capabilities of Face Recognition systems vary quite a bit.

The success of Face Recognition app hinges upon how fitting those characteristics and capabilities are to the needs of a specific company or organization. Some of the Face Recognition applications that may seem suitable for your needs at first glance may later prove to be inefficient or, even, unusable.

What should one pay attention to while looking to purchase or develop a Face Recognition application?

While the Image Recognition technology is, generally, on the rise and finding more interesting applications currently, Image Recognition apps are seldom spoken about as an often unique means of improving the existing and enabling new production processes.

How can Image Recognition applications help one to manufacture products and produce materials?