AI in practice part 1

As we in #teamvisuality have mentioned in a previous article, artificial intelligence and machine learning can take over many tasks. One once said to me, if there is one thing a robot cannot be good at, it is table tennis. https://www.youtube.com/watch?v=kZzL2rDNSJk   

We start here with a series where we point to some #aisecret in practical use.

Computer vision, or artificial vision, is about the ability of computers to identify objects, events, or activities in images. The technology uses image processing processes to deconstruct the image material, and then assesses whether the properties of the image can be linked to objects that the system already knows.

There are many different uses here, including face recognition, health analyzes to strengthen prognoses, diagnoses and treatment of diseases, and shopping - where consumers can take pictures of products for more information.

Signs and behavior recognition:

The first thing we think of is the recognition of signs, the car is a driver:

Among the newest cars are recognition of speed limit signs, field lines and danger signs. In addition, the car can sense that the driver's behavior seems to create danger. The car then gives you, for example, a suggestion to take a coffee break.

Registration of number plate:

Today, there are more and more parking spaces, centers, and other parking options where the sign is recognizable, and you pay for the actual time you have parked. In addition, the malls can be close to public transport, regulate the parking opportunities of actual shoppers and not just be a parking lot.

Toll stations also handle entrances and exits digitally.

Many industries ask which industries can use such a solution that has not already been developed:

In principle, it can be used in more areas than we are familiar with. In general, all places where we talk about entrances and exits. In fact, if it is linked to a payment system, you will also automatically receive payment. Just such a solution frees up a lot of time for the employee to customer care and other things.

The assembly line:

This has been used on the assembly line in industry for a long time. Here the machine picks out deviations from the pattern. The principles here can clearly be applied in many industries.

Language:

This is perhaps one of the simplest when it comes to recognizing writing and what corresponds to this in another language. But if we include speech, there are starting to be several more variables that one must consider. This exists, and it will become very common with multilingual gatherings and events.

The translation is starting to get good in some languages. The new thing that is coming now are seminars where it is held in one language. Audiences see and hear it in their language.

Conclusion:

The big difference is that many products look very similar on the outside. It may just be that one has digitized some tasks. The big difference is when you add machine learning to the products.

The price of such systems is now starting to become so reasonable that it is almost foolish not to implement this. When we talk about hiring a digital employee who works 24/7. Remember they also need training just like any other employee.

If you go to AI-Shop.no you will find examples of products with built-in AI. Feel free to ask us for advice on the topic.

Read more useful articles at: https://www.visualityglobal.com/article/ 

Author Trond Paulsen