Industry 4.0

This type of project consists of recognizing faces in images and videos from a set of faces (1:N) or individual to individual (1:1), printing a similarity score when delivering the result. Projects of this nature can be used for various purposes, but it is worth highlighting the increased security of sensitive data protection, where only the user authenticated by facial recognition will be able to access it. 

Anomaly detection projects aim to detect anomalies in images/videos that deviate from a standard considered “normal”. As a result, it is possible to detect, in real time or in subsequent analyses, unusual occurrences such as fire outbreaks, accidents at work, traffic accidents, deviations from product quality characteristics such as color, appearance, etc.​

Anomaly detection (AD) is a technique used in data analysis to identify patterns that deviate significantly from expected behavior. These outliers can indicate fraud, system/equipment failure, manufacturing defects, as well as changes in the observed environment.

Using generative AI, this technology aims to transform low-resolution images into high-resolution ones, making it possible to identify imperceptible characters or details in the original image. This technology allows, for example, images of stationary or moving vehicles to be enhanced so that license plate information can be accurately identified.
It is also possible to generate several high-resolution images for the same original image, thus enabling more efficient results.  

This technology makes it possible to transcribe audio into text, thus making it possible to work with textual information produced automatically from audio entered by the user. This transformation allows searches for keywords and contextual semantics, integration with chats, among countless other possibilities.

People and object detection technology is widely used for many purposes and consists of initially detecting the objects of interest, where the model is able to distinguish a person, for example, from the environment in which they are. Subsequently, the desired classification parameters are implemented, such as weight, gender, height, etc. 
This type of technology is extremely useful in the industrial environment, as it can control safety, logistics and quality items.

We work with technologies that can generate texts or summarize them. There is a wide range of possible uses in this segment. In the case of text production, it is worth highlighting the creation of case citations, in which the user provides a draft and the artificial intelligence model automatically generates the case citations. Text summaries, on the other hand, are produced automatically with or without examples previously provided by the user.