yes, of course. I do not declare that the need uses a laser for neutralizing mosquitoes. But except mosquitoes, we have many other harmful insects and pests.
Dear colleagues, I periodically receive questions about the status of my project to neutralize mosquitoes with a laser. I wanted to say that I post all the new information on the open source github - https://github.com/Ildaron/Laser_control
I continue this direction but I do it very slowly. But at the same time, I received very important comments from you.
Hello, It took almost 2 years to develop and publish an article on this device. This is #open_source - brain-computer interface I am not sure that everybody here have access to springer library, sorry, this paper is not open-access. but technical detail in my GitHub page https://github.com/Ildaron/ironbci
This manuscript provides a review of methods for increasing the frame per second of single-board
computers. The main emphasis is on the Jetson family of single-board computers from Nvidia
Company, due to the possibility of using a graphical interface for calculations. But taking into account
the popular low-cost segment of single-board computers as RaspberryPI family, BananaPI, OrangePI,
etc., we also provided an overview of methods for increasing the frame per second without using a
Graphics Processing Unit. We considered frameworks, software development kit, and various libraries
that can be used in the process of increasing the frame per second in single-board computers. Finally,
we tested the presented methods for the YOLOv4-tiny model with a custom dataset on the Jetson nano
and presented the results in the table
The paper presents an analysis of the latest developments in the field of stereo vision in the low-cost segment, both for prototypes and for industrial designs. We described the theory of stereo vision and presented information about cameras and data transfer protocols and their compatibility with various devices. The theory in the field of image processing for stereo vision processes is considered and the calibration process is described in detail. Ultimately, we presented the developed stereo vision system and provided the main points that need to be considered when developing such systems. The final, we presented software for adjusting stereo vision parameters in real-time in the python language in the Windows operating system.
In recent years, neural networks showed unprecedented growth that ultimately influenced dozens of different industries, including signal processing for the electroencephalography (EEG) process. Electroencephalography, although it appeared in the first half of the 20th century, was not changed the physical principles of work to this day. But signal processing technology made significant progress in this area through the use of neural networks. But many different models of neural networks complicate the process of understanding the real situation in this area. This manuscript summarizes the current state of knowledge on this topic, summarizes and describes the most significant achievements in various fields of application of neural networks for processing EEG signals. We discussed in detail the results presented in recent research papers for various fields in which EEG signals have been involved. We also examined in detail the process of extracting features from EEG signals using neural networks. In conclusion, we have provided recommendations for the correct demonstration of research results in manuscripts on the subject of neural networks and EEG.
The basis of the work of electroencephalography (EEG) is the registration of electrical impulses from the brain or some of its individual areas using a special sensor/electrode. This method is used for the treatment and diagnosis of various diseases. The use of wet electrodes in this case does not seem viable, for several well-known reasons. As a result of this, a detailed analysis of modern EEG sensors developed over the past few years is carried out, which will allow researchers to choose this type of sensor more carefully and, as a result, conduct their research more competently. Due to the absence of any standards in the production and testing of dry EEG sensors, the main moment of this manuscript is a detailed description of the necessary steps for testing a dry electrode, which will allow researchers to maximize the potential of the sensor in the various type of research.
Unprecedented progress in the deep learning field influenced many of different industries, including agriculture sector. The use of neural networks in agro-industrial activity in the task of recognizing cultivated crops and weed is a new direction with a history lower than 10 years. Dozens of new neural networks appear every year, but absence of any standards significantly complicates the understanding of the real situation of the use of the neural network in the agricultural sector. In the manuscript, we analyzed research over the past 10 years on the use of neural networks for the classification and tracking of crops and weeds in agriculture. We presented the analysis of the results of using various neural network algorithms for the task of classification and tracking. Finally, we made recommendations for the use of neural networks in the tasks of recognizing a cultivated object and weeds
Prediction of metrological, botanical characteristics is extremely important for different directions in agriculture. The availability of these data allows us to adjust the process of growing crops, which has a huge impact on yield, speed of ripening and the presence of vitamins in the grown culture. Increasing yields due to changes in culture growing conditions without the use of gene mutations and herbicides are the most popular destination in the agriculture field. In this manuscript, a realisation of the neural network for the construct of an efficient autonomous farm was represented. The developed by farm creates the optimal conditions for growing a crop by controlling the following indicators: Illumination, PH of the ground, air temperature, the temperature of the ground, air humidity, CO2 concentration and humidity of the ground. Theoretical research and experimental research on the use of a neural network to predict vegetable growth were represented. The presented model can also be considered as a prototype device for testing various cultivated vegetables to identify the optimal characteristics for them growing.
The protection of crops from pests is relevant for any cultivated crop. But modern methods of pest control by pesticides carry many dangers for humans. Therefore, research into the development of safe and effective pest control methods is promising. This manuscript presents a new method of pest control. We used neural networks for pest detection and developed a powerful laser device (5 W) for their neutralization. In the manuscript methods of processing images with pests to extract the most useful feature are described in detail. Using the following pets as an example: aphids, grasshopper, cabbage caterpillar, we analyzed various neural network models and selected the optimal models and characteristics for each insect. In the paper the principle of operation of the developed laser device is described in detail. We created the program to search a pest in the video stream calculation of their coordinates and transmission data with coordinates to the device with the laser.
In this paper, we present an innovative and effective method for remote monitoring of mosquitoes and their neutralization. We explain in detail how we leverage modern advances in neural networks to use a powerful laser to neutralize mosquitoes. The paper presented the experimental low-cost prototype for mosquito control, which uses a powerful laser to thermally neutralize the mosquitoes. The developed device is controlled by a single-board computer based on the neural network. The paper demonstrated experimental research for mosquito neutralization during which, to maximize approximation to natural conditions, simulation of various working conditions was conducted. The manuscript showed that a low-cost device can be used to kill mosquitoes with a powerful laser.