scholarly journals Eye Tracking ,Control Gestures, Raspberry Pi, Image Processing.

2019 ◽  
pp. 311-319
Author(s):  
Arulmozhi. K ◽  
Dharshini. K ◽  
Kaviyasree. P ◽  
Seetha. J
Keyword(s):  
Image Processing ◽  
Control System ◽  
Eye Tracking ◽  
Eye Movement ◽  
Tracking Control ◽  
Tracking System ◽  
Raspberry Pi ◽  
Cursor Control ◽  
Design And Implementation ◽  
Processing Module

Smart eye tracking system is designed for controlling any devices which has digital screen, with the eye ball movements and gestures without the help of required hardware. This paper proposes the design and implementation of cursor control system based on the movement of the eye ball. Then the movement of the eye ball is tracked and the cursor movement is regulated accordingly and gestures like blinking enables enter and blinking twice enables right click and left click. These gestures and tracking system enables the users to use the entire device. The image processing module consists of webcam and python customized image processing, the eye movement image is captured and transmitted to Raspberry pi 3 model B version 2 microcontroller for processing with open CV to derive the coordinate of eyeball. The coordinate of eyeball is utilized for cursor control on the Raspberry pi screen to control the system.

scholarly journals DESIGN AND IMPLEMENTATION OF ANTI-TANK GUIDED-MISSILE (ATGM) CONTROL SYSTEM USING SEMI-AUTOMATIC COMMAND LINE OF SIGHT (SACLOS) METHOD BASED ON DIGITAL IMAGE PROCESSING

2021 ◽  
Vol 7 (2) ◽  
pp. 217
Author(s):  
Muhammad Hanifudin Al Fadli ◽  
Dadang Gunawan ◽  
Romie Oktovianus Bura ◽  
Larasmoyo Nugroho
Keyword(s):  
Image Processing ◽  
Control System ◽  
Tracking System ◽  
Color Space ◽  
Raspberry Pi ◽  
Infrared Lamp ◽  
Syrian Civil War ◽  
High Level ◽  
Infrared Tracking ◽  
Coordinate Data

<div><p class="Els-history-head">The Anti-Tank Guided-Missile (ATGM) system has a very important role in the modern battlefield. This system proved its effectiveness in many modern conflicts such as the Syrian Civil War and Nagorno-Karabakh War. The ATGM system has a very simple electronic and mechanism but it has a very high level of accuracy and precision. One of the control methods used in ATGM is SACLOS method. This method tracks missile position by detecting an infrared lamp that is placed on the missile tail. The tracking system sends control signals to the missile as a result of the correction of the missile position when flying. The infrared tracking system in this research was made using a modified OV5647 camera with the addition of a 940 nm narrow bandpass filter. There are 3 cameras with 1x, 8x, and 16x magnifications which are accessed using 3 Raspberry Pi boards. X and y coordinate data of the infrared lamp is sent to the airframe using wireless telemetry. Atmega328 microcontroller process x and y coordinate data into input proportional control. The result of this research is the prototype of an anti-tank missile control system with an infrared tracking instrument capable track a series of 88 infrared LEDs as far as 997.16 meters with a tracking speed of 90.11 FPS. The threshold parameters of image processing using luminance of YUV color space has a range of 240-255. The control parameter Kp=7 is used in wind tunnel testing with airspeed 20 m/s capable of directing airframe motion to the telescope's crosshairs.</p></div>

scholarly journals Development of an Advanced Solar Tracking Energy System

2021 ◽  
pp. 77-82
Author(s):  
Samuel Davies ◽  
Sivagunalan Sivanathan ◽  
Ewen Constant ◽  
Kary Thanapalan
Keyword(s):  
Control System ◽  
System Performance ◽  
Mechanical Design ◽  
System Development ◽  
Tracking System ◽  
Energy System ◽  
Design And Implementation ◽  
Solar Tracking ◽  
Advanced Control ◽  
Stability Issues

AbstractThis paper describes the design of an advanced solar tracking system development that can be deployed for a range of applications. The work focused on the design and implementation of an advanced solar tracking system that follow the trajectory of the sun’s path to maximise the power capacity generated by the solar panel. The design concept focussed on reliability, cost effectiveness, and scalability. System performance is of course a key issue and is at the heart of influencing the hardware, software and mechanical design. The result ensured a better system performance achieved. Stability issues were also addressed, in relation to optimisation and reliability. The paper details the physical tracker device developed as a prototype, as well as the proposed advanced control system for optimising the tracking.

scholarly journals HVAC and Audio Control System using Gesture Recognition in Cars

2020 ◽  
Vol 9 (3) ◽  
pp. 3193-3196
Keyword(s):  
Image Processing ◽  
Control System ◽  
Gesture Recognition ◽  
Background Subtraction ◽  
Advanced Technology ◽  
Raspberry Pi ◽  
Hvac System ◽  
Hand Gestures ◽  
Hand Part ◽  
Free Interaction

Gesture recognition technology entails a wide variety of touch-free interaction capabilities which controls notably contribute to easing our interaction with devices, reducing the need for a keys, or button. To recognize the different hand gestures for different control system in cars is done through image processing. A new method for the hand gestures is that, the hand part gets extracted from the background using background subtraction algorithm using raspberry pi, there is no need of buttons for using of some equipments in different vehicles by using an advanced technology. In gesture recognition technology we can control the audio and HVAC system automatically instead of searching for a particular button, which causes distraction while driving.

Design of Control System for Monitoring Camera Cleaning Robot

2014 ◽  
Vol 513-517 ◽  
pp. 4047-4051
Author(s):  
Xiao Meng Li ◽  
Shu Ce Zhang ◽  
Yong Liu ◽  
Xue Heng Tao ◽  
Xue Jun Wang ◽  
...  
Keyword(s):  
Image Processing ◽  
High Pressure ◽  
Control System ◽  
High Altitude ◽  
Degrees Of Freedom ◽  
Cleaning Robot ◽  
Monitoring Camera ◽  
Processing Module ◽  
Three Degrees Of Freedom ◽  
Spray Gun

In order to solve the problem that manual cleaning high-altitude monitoring camera is difficult and risky, the scheme that mobile knee-type robot with three degrees of freedom cleans the monitoring probe instead of worker is proposed, and the control system based on MCU is designed. The hardware and program design is finished, which includes movement of manipulator, cameras jet cleaning with high-pressure spray gun, drying of cameras surface, ultrasonic obstacle avoidance, camera monitoring and image processing module. At last, the experiment and test for the cleaning robot prototype are carried out.

Development of a Tracking System on the Mobile Robot

2015 ◽  
Vol 764-765 ◽  
pp. 680-684
Author(s):  
Kuo Lan Su ◽  
Jr Hung Guo ◽  
Kuo Hsien Hsia
Keyword(s):  
Image Processing ◽  
Control System ◽  
Mobile Robot ◽  
Pid Control ◽  
Balance Control ◽  
Tracking System ◽  
Control Law ◽  
Moving Target ◽  
System A ◽  
Feedback Data

The purpose of this paper is to develop an intelligent mobile robot using image processing technology. The mobile robot is composed of a visual tracking system, a loading platform, a balance control system, a PC-based controller, four ultrasonic sensors and a power system. We develop a PC based control system for image processing and path planning. The mobile robot can track a moving target and adjust the loading platform by the balance control system simultaneously. The Image processing based on OpenCV use two different tracking methods, MTLT (Match Template Learning Tracking) and TLD (Tracking, Learning and Detection), to track moving targets. The efficiencies of both methods for tracking the moving target on the mobile robot are compared in this paper. The loading platform control system uses HOLTEK Semiconductor Company's HT66F Series 8-bit microprocessor as the processor, and receives the feedback data from the FAS-A inclinometer sensor. The controller of the loading platform uses the PID control law according to the feedback signals of the inclinometer sensor, and controls the rotation speed of the platform motor to tune the balance level. Keywords— Intelligent mobile robot, Image processing, OpenCV, MTLT, TLD, HOLTEK, FAS-A inclinometer sensor, PID control.

scholarly journals Design and Implementation of Children Tracking System using IoT

2019 ◽  
Vol 22 (3) ◽  
pp. 172-179
Author(s):  
Sama Samaan
Keyword(s):  
Real Time ◽  
Mobile Communication ◽  
Mobile Application ◽  
Tracking System ◽  
Raspberry Pi ◽  
Google Maps ◽  
Design And Implementation ◽  
The Past ◽  
Safe Area ◽  
The World

In the past few years, all over the world, crime against children has been on the rise, and parents always worry about their children whenever they are outside. For this reason, tracking and monitoring children have become a considerable necessity. This paper presents an outdoor IoT tracking system which consists of a child module and a parent module. The child module monitors the child location in real time and sends the information to a database in the cloud which forwards it to the parent module (represented as a mobile application). This information is shown in the application as a location on Google maps.  The mobile application is designed for this purpose in addition to a number of extra functions. A Raspberry Pi Zero Wireless is used with a GSM/GPS module on shield to provide mobile communication, internet and to determine location. Implementation results for the suggested system are provided which shows that when the child leaves a pre-set safe area, a warring message pops up on the parent’s mobile and a path from the current parent location to the child location is shown on a map.

scholarly journals Using the Blind Spot to Investigate Trans-Saccadic Perception

Vision ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 39
Author(s):  
Julie Royo ◽  
Fabrice Arcizet ◽  
Patrick Cavanagh ◽  
Pierre Pouget
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Tracking System ◽  
Blind Spot ◽  
The Gaze ◽  
Gaze Position

We introduce a blind spot method to create image changes contingent on eye movements. One challenge of eye movement research is triggering display changes contingent on gaze. The eye-tracking system must capture the image of the eye, discover and track the pupil and corneal reflections to estimate the gaze position, and then transfer this data to the computer that updates the display. All of these steps introduce delays that are often difficult to predict. To avoid these issues, we describe a simple blind spot method to generate gaze contingent display manipulations without any eye-tracking system and/or display controls.

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