KAI Maker

Sentinel Vision > KAI Maker

Artificial Intelligence Applied to Machine Vision

Feel the power of artificial intelligence!

A web based application to build the most powerful artificial intelligence algorithms. The application allows the creation of a solution pipeline where deep learning algorithms can be combined with rule based algorithms. Training is performed in the cloud, accelerating development and increasing computing power without the need for hardware investment.

Data Control

At each training stage, it is possible to analyse and validate all the data used, ensuring full control over the information that feeds the Artificial Intelligence models.

s

The platform allows users to check data distribution, identify class imbalances and test different scenarios before deployment in a real environment.

DATACENTRIC

Management of customer data and images to develop a more effective and viable strategy for the customer.

LABELLING

Simple image classification through a one click button, with data cross checking between users.

MODELLING

Test different machine learning models and compare the final results.

Use Cases

KAI Maker enables a wide range of real world applications, adapting to different industrial contexts and machine vision challenges.

f

From OCR reading in environments with high contrast variation to welding inspection and the detection of pores or defects on metal surfaces, the platform demonstrates high robustness and reliability, even in complex scenarios.

f

Through advanced techniques such as object detection, classification, segmentation and anomaly detection, KAI Maker enables:

f

    • The development of flexible and scalable solutions for quality control.
    • Automated inspection processes.
    • Advanced visual analysis for industrial applications.
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.