Most of us admire NVIDIA based cards. Thanks to these cards high fps and have a smooth gaming experience. There is also the other side of things, which is artificial intelligence. NVIDIA artificial intelligence projects so that you can develop You must take advantage of the Jetson family.

The Jetson Family; high performance, low power consumption and artificial intelligence projects NVIDIA based electronic boards made to develop It allows us to do intro, intermediate and advanced projects such as in graphics cards. Let’s take a look at the artificial intelligence projects created using the Jetson family.

The future is exciting, at the beginning of this excitement there are undoubtedly autonomous vehicles. The NVIDIA Jetson family enables autonomous vehicles to be developed.

While driving, there is now artificial intelligence as a driver. Investigates, interprets and applies the environment. In NVIDIA based systems, these tools perform self-lane tracking and object detection following various artificial intelligence codes. After performance makes its own decision and implements.

This process is the image of the environment that we view with the camera. process image And deep learning It takes place with the result of the models trained with the models. Today, if processing is based on data obtained from the camera, image processing is the basis of this.

When operations such as object detection and lane tracking are performed, this is provided by deep learning and machine learning models. These models are several related image. created as a result of training. In other words, even if a red light detection has to be made, it consists of thousands of red light images. cluster is trained and the model is revealed.

Autonomous drones are now responding to wildfires. Artificial intelligence warns the fire brigade if there is a fire.

Autonomous drones that take off from time to time detect fire early thanks to artificial intelligence. In addition Only fire detection, but also these systems coordinate information reports the fire department. Imagine you are in the woods and your telephone line is not working. At this point, thanks to drones, the fire can be heard and intervention is initiated at an early stage.

Pixel concept is defined as the smallest structural unit in an image. within the pixels to RGB color format There are different numbers. The pixel in the color image contains 3 different numbers in a string. For example, consisting of (255,0,0) values 1 pixel color it’s red. Especially in fire detection operations to pixel densities detection is performed.

For example, different calculations are made based on the pixel densities of the fire and smoke in the environment, and as a result, using drones with NVIDIA-based systems, systems for early detection of fire can be developed.

Thanks to smart refrigerators, the freshness of fruits and vegetables can be understood.

Thanks to NVIDIA-based artificial intelligence systems, a vegetable or fruit state of disrepair We can observe and gain early knowledge. In addition, the health of the fruit or vegetable is displayed in percentages.

To develop the project, 3 different deep learning models were used. to raise necessary: ​​the first is a set of fruits in normal condition; the other, almost broken a bunch of fruit and the last one is spoiled of fruits or vegetables training is performed with the set.

As a result of this from statistics and mathematics using percentages. Accordingly, we can learn what percentage of a fruit is in normal condition or how much of a vegetable is rotten, thanks to artificial intelligence in refrigerators.

When exercising, don’t worry about which set and rep you’re in. Artificial intelligence gives you the information of your set and repetition.

The artificial intelligence model can interpret the movements of your arm and count for you in which repetition you are. Also the movement do it well You may also find out that you didn’t.

All done here depends on your arm movements Calculate and interpret the distance between the arm and the wrist in percent. When you lift your dumbbells correctly and completely, the artificial intelligence can count your repetitions itself.

Do you like chess? Then you are very welcome to play against artificial intelligence.

Another project developed on NVIDIA-based systems is to you artificial intelligence playing chess! In addition, it is very difficult to beat. The artificial intelligence system in chess is a bit different. Each opponent has 16 different pieces. Among these stones we have stone groups with 6 different tasks. Each group of gems is trained in the NVIDIA Jetson family with deep learning models based on game situations, tasks and opponent diversity.

The frustrating part is training the model. after it’s over then it starts. almost one backgammon the chessboard after each game under your armpit You can take.

Of course it is not limited to this scope. There are many more projects in our lives. Some directly affect our lives, while others affect our lives indirectly.