Fusion Object Detection and Action Recognition to Predict Violent Action.

In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different algorithms: a violent action detection system, which recognizes violent behaviors between passengers, a violent object detection system, and a lost items detection system. Public datasets were used for object detection algorithms (COCO and TAO) to train state-of-the-art algorithms such as YOLOv5.

AI Based Monitoring of Different Risk Levels in COVID-19 Context.

COVID-19 was responsible for devastating social, economic, and political effects all over the world. Although the health authorities imposed restrictions provided relief and assisted with trying to return society to normal life, it is imperative to monitor people's behavior and risk factors to keep virus transmission levels as low as possible. This article focuses on the application of deep learning algorithms to detect the presence of masks on people in public spaces (using RGB cameras), as well as the detection of the caruncle in the human eye area to make an accurate measurement of body temperature (using thermal cameras).

Oral changes in cocaine abusers: an integrative review.

Introduction: Cocaine is one of the most often used psychoactive drugs worldwide, being extracted from the leaves of Erytroxylus coca plant. Its abusive use can trigger several consequences for the human body, including the oral cavity.

Objective: To identify the oral disorders that are most commonly found in individuals who abuse cocaine, in addition to the main diagnostic and treatment methods.