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  • The use of neural network detectors to prevent accidents at work

    This article discusses the features of the use of neural network detectors in the tasks of recognizing protective helmets and helmets. Nowadays, workplace safety is becoming an increasingly relevant topic, especially in industries with a high level of injuries. There are accidents caused by violations of rules and regulations at work sites, among them cases related to non-compliance with the rules of wearing protective helmets. The article examines methods and algorithms for recognizing protective helmets and helmets, and assesses their effectiveness.

    Keywords: convolutional neural network, object recognition, protective helmets. helmets, SSD, YOLOv5, Faster R-CNN, machine learning, deep learning, image classification

  • Algorithms for the movement of a mobile robot with the construction of a real-time terrain map

    This article describes the implementation of an orientation software package for a mobile robot with the construction of a terrain map and its subsequent analysis. As part of the work, a software module was developed for a mobile robot using a laser rangefinder (lidar), a Raspberry Pi 3B+ microcomputer with a ROS robotic operating system installed on it is used to obtain data from a laser rangefinder. The algorithm of movement of a mobile robotic complex in space with the construction of a terrain map in real time is described. Such complexes are currently widely used, they can significantly reduce the need for human participation in heavy and dangerous work.

    Keywords: mobile robot, robotic complex, laser rangefinder, lidar, ultrasonic sensor, vision system

  • Using Euler angles in inertial navigation systems

    This article discusses the features of using Euler angles in the process of determining the position of an object in space. The material presented here will help to study in detail the use of Euler angles when working with inertial navigation sensors and facilitate the understanding of the construction of systems using such devices. Today, such embedded automated systems are used in a wide variety of fields: in aircraft modeling, in medicine, military equipment, and agriculture, and the scale of their use is growing every year. Devices that track the position of the body in space are widely used in such systems as drones, mobile robots, remote-controlled manipulators. These devices can significantly reduce the need for human participation in heavy and dangerous work.

    Keywords: Euler angles, accelerometer, gyroscope, magnetometer, object orientation, inertial navigation sensors, yaw, pitch, roll

  • Methods and tools for load balancing in heterogeneous computing systems

    Currently, there is a rapid development of computing systems, including systems that include various types of devices. Such systems are called heterogeneous or heterogeneous. In addition to traditional processors, such a system may include graphics processing units, programmable gate arrays, and other devices. One of the most pronounced problems of such systems is the complexity of distributing the computational load between the nodes of the computing system. This paper describes the types of balancing and methods for distributing computational load in heterogeneous computing systems. An example of load balancing in a real heterogeneous computing system is described.

    Keywords: heterogeneous system, heterogeneous system, load balancing, load distribution, computing cluster