AIT-400 Artificial Intelligence Industrial Trainer
Experience with a comprehensive industrial AI trainer. Learn applied AI concepts, optimize real machines, and monitor data in real time through a practical and engaging learning platform.
AIT-400 Artificial Intelligence Industrial Trainer
The AIT-400 is an integral industrial automation training system for teaching AI with real world manufacturing applications. Powered by industry-leading manufacturing hardware, the AIT-400 provides learners with hands-on access to AI technologies through the lens of industrial automation applications.
Create | Train | Apply
- CREATE: Use pre-existing AI models or develop your own.
- TRAIN: Fit the model with data from previous operations to improve AI performance.
- APPLY: Deploy the trained AI models to solve the industrial problems, testing the model accuracy and generating more data.
Core applications and functions
⇢ Artificial vision - Identify objects.
⇢ Movement optimization - Predict the acceleration of an electric actuator.
⇢ Outcome forecast - Score the success probability in a process.
⇢ Predictive maintenance - Anomaly detection in the system performance.
⇢ Quality control validation - Classify between valid/faulty objects.
⇢ Movement optimization - Predict the acceleration of an electric actuator.
⇢ Outcome forecast - Score the success probability in a process.
⇢ Predictive maintenance - Anomaly detection in the system performance.
⇢ Quality control validation - Classify between valid/faulty objects.
The product: tower of pieces
- Three materials: different weight & roughness
- Two sizes
- Up to 5 levels
Nearly 10000 possible tower configurations!
- Two sizes
- Up to 5 levels
Nearly 10000 possible tower configurations!
Artificial Intelligence
Is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.
Machine Learning
Machine learning is a branch of artificial intelligence that enables systems to learn from data and improve their performance without being explicitly programmed. It involves algorithms that analyze patterns, make predictions, and adapt based on new information. By processing vast amounts of data, machine learning enhances automation and decision-making, making systems more efficient and intelligent.
Neural networks
A neural network is a computational model inspired by the structure and function of the human brain. It consists of interconnected layers of nodes (or neurons) that process and transmit information. Neural networks are designed to recognize patterns, classify data, and make predictions by learning from examples. They are widely used in machine learning for tasks such as image recognition, speech processing, and natural language understanding. By adjusting the weights of connections between neurons, the network improves its accuracy over time, making it a powerful tool for artificial intelligence applications.
Web Services
A web service is a technology that uses a set of protocols and standards that serve to exchange data between applications. Different software applications developed in different programming languages, and running on any platform, can use web services to exchange data on computer networks such as the Internet.
Artificial Vision
It is a scientific discipline that includes methods for acquiring, processing, analyzing, and understanding real-world images in order to produce numerical or symbolic information so that they can be processed by a computer.
Electric Actuators
Converts such an electrical input signal into the required form of mechanical energy. It is a type of transducer. There are two types of actuators: electro-mechanical and electro-hydraulic.
Programmable Controlers
An electronic control system and associated instrumentation used for industrial process control. Such as, supervisory control and data acquisition (SCADA) systems, or DCSs, and programmable logic controllers (PLCs).
Industrial Communications
Industrial communication refers to a data transmission system designed to enable communication between field devices, such as sensors, actuators, and controllers, and the monitoring and control systems in industry.
Safety
These technologies not only prevent accidents and protect workers, but also optimize production processes, reducing downtime and costs associated with incidents. The protection of machinery and the implementation of guards and physical barriers have become essential elements.
Distribution Panel
Is a component of an electricity supply system that divides an electrical power feed into subsidiary circuits while providing a protective fuse or circuit breaker for each circuit in a common enclosure.
AIT-400 Process
The problems to be solved with AI revolve around optimising the movement of an electric actuator: What is the maximum acceleration that can be applied to the load without falling and being damaged?
-To do this, the type of load must be recognised, so the AI will make a prediction based on a photo of the tower (1).
Then, there are two types of problems related to acceleration:
-Regression: Predicting the appropriate acceleration given a tower of pieces (2).
-Classification: Predicting whether or not the tower will fall, given a tower of pieces and an acceleration (3).
Finally:
-After launching the actuator, another photo is taken at the final position, and it is evaluated whether the test was valid or not. In other words, it is evaluated whether the tower arrived in the correct position or not (4).
-The speed and force data from the electric shaft are analysed to detect anomalies in the movement of the actuator that may indicate a need for predictive maintenance (5).
-To do this, the type of load must be recognised, so the AI will make a prediction based on a photo of the tower (1).
Then, there are two types of problems related to acceleration:
-Regression: Predicting the appropriate acceleration given a tower of pieces (2).
-Classification: Predicting whether or not the tower will fall, given a tower of pieces and an acceleration (3).
Finally:
-After launching the actuator, another photo is taken at the final position, and it is evaluated whether the test was valid or not. In other words, it is evaluated whether the tower arrived in the correct position or not (4).
-The speed and force data from the electric shaft are analysed to detect anomalies in the movement of the actuator that may indicate a need for predictive maintenance (5).
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