Raspberry Pi is the most affordable solution to learn and get on with machine learning and artificial intelligence or in other words it can be said that yes you can use Raspberry Pi for machine learning and AI. So, if you are planning to use Raspberry Pi for machine learning and artificial intelligence then go through this guide as it will help you in deciding the starting point.
Using Raspberry Pi for Machine Learning and AI
To use Raspberry Pi for machine learning and artificial intelligence, it is imperative to know that these both terms are different from each other. Machine learning comes under the category of an algorithm that learns from the data it processes or in other words it can be said that machine learning carries out tasks more efficiently every time it repeats a task.
However, AI on the other hand tends to copy human behaviors and try to act like humans while carrying out different tasks. Below there are some of the real-time projects based on artificial intelligence and machine learning using Raspberry Pi.
- Shipwreck Surveillance System
- Prosthetic Arm
- Land Mine Detector System
- Pest Detector for Crops
- Fish Detector
Shipwreck Surveillance System
Finding the old shipwrecks under the seabed is quite difficult as sea divers must dive into the sea which is not only costly but is not a feasible solution as it requires a lot of risk. So, researchers from Greece have created a Raspberry Pi powered shipwreck finder which can dive up to 150 meters, the system can be powered up by using photovoltaics like floating solar panels on the shore.
This system consists of high resolution cameras and provides live surveillance of the sea and using the ML and AI it can not only detect the system but can also classify the objects, to read further about this project click here.
Prosthetic Arm
Another practical application of ML and AI is the creation of a prosthetic arm which is trained using an ML model that moves according to the movement of the wearer. To accomplish that Raspberry Pi zero is used along with A0gmaNeo library which is a machine learning system that uses C++ and is suitable for light weight microcontrollers, to read further about this project click here.
Land Mine Detector System
Scientists from Arizona State University have developed a robot that they call “C-Turtle” that navigates itself on any terrain and detects any landmines in the area. The motive behind creation of “C-Turtle” was that currently the robots used for landmine detection were quite expensive. This project cost only 50 to 70 dollars which is economical. Raspberry Pi zero was used to implement the machine learning algorithm that will act as the brain of the system, to read further about this project click here.
Pest Detector for Crops
Pest attacks are one of the major problems that farmers are facing these days, though scientists have developed various systems that not only detect the pests and bugs and lure them away but still such systems need to be approved. Scientists from university of Trento have created a pest detection system that is powered by Raspberry Pi and using the ML to detect the pests and flies by luring them to itself, to read further about this project click here.
Fish Detector
Another practical application of using machine learning and artificial intelligence is creating a robot that detects and finds fishes in the water using image processing and object detection. For that researcher from the Norwegian University of Science and Technology used Raspberry Pi 4 as the main computer or brain of the system. This robot responds back to the user via GPS system, the signal receiving time might vary based on the location of the user, to read further about this project click here.
Conclusion
Machine learning and artificial intelligence are now becoming a necessity as the world is moving towards smart and automated devices. Raspberry Pi is the affordable choice if you need to get along with machine learning and artificial intelligence as there are a vast number of projects that one can do using this device such as pest detector for crops, land mine detector system, prosthetic arm, and shipwreck surveillance system.
