scholarly journals Embedded Design and Implementation of Mobile Robot for Surveillance Applications

2021 ◽  
Vol 6 (2) ◽  
pp. 427-440
Author(s):  
Abdulkareem Sh. Mahdi Al-Obaidi ◽  
Arif Al-Qassar ◽  
Ahmed R. Nasser ◽  
Ahmed Alkhayyat ◽  
Amjad J. Humaidi ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Low Cost ◽  
Human Motion ◽  
Raspberry Pi ◽  
Motor Shaft ◽  
Security Applications ◽  
Design And Implementation ◽  
Embedded Design ◽  
Open Source Hardware ◽  
The Cost

The surveillance and security of areas such as home, laboratory, office, factory, and airports, are important to prevent any threatening to human lives. Mobile robots are proven their effectiveness in a large number of applications, especially in hazardous areas where they can be remotely controlled by humans to accomplish certain tasks. This research paper presents a design and implementation of a mobile robot for surveillance and security applications. The main objective of the design is to lower the cost and the power consumption of the mobile robot which accomplish using low-cost open-source hardware such as Arduino and Raspberry Pi. The robot is connected wirelessly via a low-power ZigBee module to the control station to allow the operator for controlling the mobile robot motions and monitoring the physical events in the environment where the robot is used.  Sensors such as camera, temperature, and range are embedded in the robot to sense and monitor human motion, the room temperature, and the distance of the surrounding obstacles. The testing of the implemented mobile robot shows that it can run continuously for approximately 6.5 hours at a motor shaft speed 25 rpm of unlit the need to recharge the battery.

scholarly journals Low-Cost Calibration of Matching Error between Lidar and Motor for a Rotating 2D Lidar

2021 ◽  
Vol 11 (3) ◽  
pp. 913
Author(s):  
Chang Yuan ◽  
Shusheng Bi ◽  
Jun Cheng ◽  
Dongsheng Yang ◽  
Wei Wang
Keyword(s):  
Point Cloud ◽  
Low Cost ◽  
Shape Error ◽  
3D Point Cloud ◽  
Motor Shaft ◽  
Matching Error ◽  
Triangular Plate ◽  
Attitude Error ◽  
Shaft Angle ◽  
The Cost

For a rotating 2D lidar, the inaccurate matching between the 2D lidar and the motor is an important error resource of the 3D point cloud, where the error is shown both in shape and attitude. Existing methods need to measure the angle position of the motor shaft in real time to synchronize the 2D lidar data and the motor shaft angle. However, the sensor used for measurement is usually expensive, which can increase the cost. Therefore, we propose a low-cost method to calibrate the matching error between the 2D lidar and the motor, without using an angular sensor. First, the sequence between the motor and the 2D lidar is optimized to eliminate the shape error of the 3D point cloud. Next, we eliminate the attitude error with uncertainty of the 3D point cloud by installing a triangular plate on the prototype. Finally, the Levenberg–Marquardt method is used to calibrate the installation error of the triangular plate. Experiments verified that the accuracy of our method can meet the requirements of the 3D mapping of indoor autonomous mobile robots. While we use a 2D lidar Hokuyo UST-10LX with an accuracy of ±40 mm in our prototype, we can limit the mapping error within ±50 mm when the distance is no more than 2.2996 m for a 1 s scan (mode 1), and we can limit the mapping error within ±50 mm at the measuring range 10 m for a 16 s scan (mode 7). Our method can reduce the cost while the accuracy is ensured, which can make a rotating 2D lidar cheaper.

Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy

2014 ◽  
Vol 607 ◽  
pp. 791-794 ◽  
Author(s):  
Wei Kang Tey ◽  
Che Fai Yeong ◽  
Yip Loon Seow ◽  
Eileen Lee Ming Su ◽  
Swee Ho Tang
Keyword(s):  
Mobile Robot ◽  
Sensor Fusion ◽  
Low Cost ◽  
Feedback System ◽  
Sensor Data ◽  
Research Setting ◽  
Fusion Technique ◽  
Omnidirectional Mobile Robot ◽  
The Cost ◽  
Navigation Accuracy

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many of the researchers use high cost solution in the feedback of the robot. For example, there are researchers use global camera as feedback. This solution has increases the cost of the robot setup fee to a relatively high amount. The setup system is also hard to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the result is discussed.

FireNot – An IoT based Fire Alerting System: Design and Implementation

2020 ◽  
Vol 12 (6) ◽  
pp. 475-489
Author(s):  
Bahman A. Sassani ◽  
Noreen Jamil ◽  
Maria Villapol ◽  
M. Abbas Malik ◽  
Sreenivas Sremath Tirumala
Keyword(s):  
Low Cost ◽  
Warning System ◽  
Cyber Attacks ◽  
Raspberry Pi ◽  
Daily Monitoring ◽  
Python Language ◽  
Alerting System ◽  
Location Detection ◽  
Android App ◽  
The Cost

Internet of Things (IoT) based systems have revolutionised the way real world systems are inter-connected through internet. At present the application of IoT based systems is extend to real time detection and warning system. However, cost has been a major factor for development and implementation of IoT systems. Considering the cost, ease of implementation, this paper proposes a low cost yet efficient IoT system called FireNot for warning and alerting fire incidents. FireNot is a cloud based system that uses sensors (hardware) to detect fire and alert the user through internet and is maintained and monitored using a simple Android app. The FireNot system uses Raspberry Pi programmed through Python language and utilises Google API for location detection. The FireNot system is also intended to provide an expandable platform for additional daily monitoring tasks and more importunately, resiliency against most cyber-attacks and hi-jacking that targets IoT-based system lacked in most of similar IoT-based designs. This paper practically demonstrates the FireNot system through extensive testing on various operations and the FireNot system is proven to be efficient.

Design and Implementation of a Smart Mechatronic Elbow Brace

2020 ◽  
pp. 1-18
Author(s):  
Vu Trieu Minh ◽  
Mart Tamre ◽  
Aleksei Safonov ◽  
Victor Musalimov ◽  
Pavel Kovalenko ◽  
...  
Keyword(s):  
Pulse Width Modulation ◽  
Low Cost ◽  
Human Motion ◽  
Elbow Injury ◽  
Safety Requirements ◽  
Design And Implementation ◽  
Movement Data ◽  
Dc Motors ◽  
Electronic Parts ◽  
Motion Intention

This project develops a design and implementation of a smart mechatronic brace used as a rehabilitation device for elbow injury patients training their bone ligaments and muscles, and recovering at home. The proposed brace is designed to be low cost and to fit large different users since it is able to be regulated and combined with reliable mechanical and electronic parts, and to correspond to high safety requirements. Electromyography (EMG) sensors are used above the skin to measure the biopotential signals from the muscles to detect the human motion intention, and then, to recognize the flexion/extension movement. Data of the human motion intention and direction are processed and converted into the pulse-width modulation signals (PWM) to run DC motors. A prototype for this brace is fabricated and tested with real human motion intentions and directions. The DC motors can follow well the human motions with the error of less than 70 over a moving angle of 1200.

scholarly journals Implementation of IOT Based Smart Energy Meter in Oman

2020 ◽  
Author(s):  
Hassan Ali Alajmi ◽  
Raid Rashid Ali Alsaidi ◽  
Omar Abdullah Sultan AL-shibli ◽  
Senthil Ramadoss
Keyword(s):  
Monitoring System ◽  
Web Application ◽  
Low Cost ◽  
Electricity Consumption ◽  
Raspberry Pi ◽  
Energy Meter ◽  
Exciting Opportunity ◽  
Long Time ◽  
The Cost ◽  
Python Programming

Managing the energy efficient and conserving it intelligently for appliances is very much important. On the other side, it may be possible events mistake cause while reading on energy meter, monitoring and keeping track of your electricity consumption for verification is a tedious task today. Our main objective of measuring the power consumption at homes using IOT with raspberry pi during period time, which can be controlled as well monitored through the raspberry pi across the IOT. We used Python programming language to control raspberry pi. It's based on raspbian which is operating system for all models of the raspberry Pi that subject to linux system. As we say before raspberry pi has inputs and we use it for connecting the supply, energy meter and load such as a lamp or Drill. The energy meter is connected to the raspberry pi. This allows user to easily check the energy usage along with the cost charged online using a simple web application connecting to Wi-Fi. Thus, the energy meter monitoring system allows consumer to effectively monitor electricity meter readings and bill amount in an easy way. It presents a low cost and flexible energy meter monitoring system using IOT. In addition, we use camera which is called camera pi. Camera pi takes picture from meter reading and communicates to consumer via email. All information on the energy meter screen will be taken by raspberry pi module. Using this data, the raspberry pi will calculate the bill amount then send to the consumer by email. Finally, this project will help for the proper and accurate reading of the billing process automatically. Also, it enables consumer to save the money for a long time. This technology offers new and exciting opportunity to reduce the work of workers.

scholarly journals BioSamplr: An open source, low cost automated sampling system for bioreactors

2020 ◽  
Author(s):  
John P. Efromson ◽  
Shuai Li ◽  
Michael D. Lynch
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Raspberry Pi ◽  
Sampling System ◽  
Sample Interval ◽  
3D Printed ◽  
Bioreactor Experiment ◽  
Log File ◽  
Time Required ◽  
The Cost

AbstractAutosampling from bioreactors reduces error, increases reproducibility and offers improved aseptic handling when compared to manual sampling. Additionally, autosampling greatly decreases the hands-on time required for a bioreactor experiment and enables sampling 24 hrs a day. We have designed, built and tested a low cost, open source, automated bioreactor sampling system, the BioSamplr. The BioSamplr can take up to ten samples from a bioreactor at a desired sample interval and cools them to a desired temperature. The device, assembled from low cost and 3D printed components, is controlled wirelessly by a Raspberry Pi, and records all sampling data to a log file. The cost and accessibility of the BioSamplr make it useful for laboratories without access to more expensive and complex autosampling systems.

scholarly journals Technical report of Raspberry Pi prototype for lectures in public universities

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Author(s):  
Tiago da Silva Almeida
Keyword(s):  
Remote Control ◽  
Access Control ◽  
Public Universities ◽  
Low Cost ◽  
Raspberry Pi ◽  
Control Environment ◽  
Environment Monitoring ◽  
Technical Report ◽  
Control Technologies ◽  
The Cost

This paper presents a low-cost prototype for lectures in public universities based on Raspberry Pi. It is described how to connect and configure the prototype using an infrared remote control. Technologies applied in education are widely explored in recent researches and can be held to lower the cost. The proposed prototype is 86\% cheaper on average (compared to ordinary computer) and can be used for automation of the classrooms besides lectures. For example, the prototype can be additionally used to access control, environment monitoring, and management of the environment utilization by the users.

scholarly journals Implementation of Fuzzy Logic Controller for Wall Following and Obstacle Avoiding Robot

2019 ◽  
Vol 4 (1) ◽  
pp. 9-21
Author(s):  
Aryuanto Soetedjo ◽  
M. Ibrahim Ashari ◽  
Cosnas Eric Septian
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Logic Controller ◽  
Low Cost ◽  
Experimental Results ◽  
Raspberry Pi ◽  
Ultrasonic Sensors ◽  
Obstacle Avoiding ◽  
Wall Following

This paper presents the development of wall following and obstacle avoiding robot using a Fuzzy Logic Controller. The ultrasonic sensors are employed to measure the distances between robot and the wall, and between the robot and the obstacle. A low cost Raspberry Pi camera is employed to measure the left/right distance between the robot and the obstacle. The Fuzzy Logic Controller is employed to steer the mobile robot to follow the wall and avoid the obstacle according to the multi sensor inputs. The outputs of Fuzzy Logic Controller are the speeds of left motor and right motor. The experimental results show that the developed mobile robot could be controlled properly to follow the different wall positions and avoid the different obstacle positions with the high successful rate of 83.33%.

scholarly journals PrintrLab incubator: A portable and low-cost CO2 incubator based on an open-source 3D printer architecture

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251812
Author(s):  
Arunkumar Arumugam ◽  
Cole Markham ◽  
Saurabh S. Aykar ◽  
Barbara Van Der Pol ◽  
Paula Dixon ◽  
...  
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Raspberry Pi ◽  
3D Printer ◽  
Software Application ◽  
G Code ◽  
Temperature Levels ◽  
Controller Board ◽  
Open Source Hardware ◽  
Hardware Designs

Growth in open-source hardware designs combined with the decreasing cost of high-quality 3D printers have supported a resurgence of in-house custom lab equipment development. Herein, we describe a low-cost (< $400), open-source CO2 incubator. The system is comprised of a Raspberry Pi computer connected to a 3D printer controller board that has controls for a CO2 sensor, solenoid valve, heater, and thermistors. CO2 is supplied through the sublimation of dry ice stored inside a thermos to create a sustained 5% CO2 supply. The unit is controlled via G-Code commands sent by the Raspberry Pi to the controller board. In addition, we built a custom software application for remote control and used the open-source Grafana dashboard for remote monitoring. Our data show that we can maintain consistent CO2 and temperature levels for over three days without manual interruption. The results from our culture plates and real-time PCR indicate that our incubator performed equally well when compared to a much more expensive commercial CO2 incubator. We have also demonstrated that the antibiotic susceptibility assay can be performed in this low-cost CO2 incubator. Our work also indicates that the system can be connected to incubator chambers of various chamber volumes.

Design and Implementation of a 3D Range Scanner for Mobile Robots

2013 ◽  
Vol 572 ◽  
pp. 644-647
Author(s):  
Gökhan Aslan ◽  
Erhan Ilhan Konukseven ◽  
Buğra Koku
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Autonomous Navigation ◽  
Robot Navigation ◽  
Low Cost ◽  
Vertical Axis ◽  
Field Of View ◽  
Mobile Robot Navigation ◽  
Design And Implementation ◽  
Speed Accuracy

In an efficient autonomous navigation and exploration, the robots should sense the environment as exactly as possible in real-time and act correctly on the basis of the acquired 3D data. Laser scanners have been used for the last 30 years for mobile robot navigation. However, they often did not enough speed, accuracy and field of view. In this paper we present the design and implementation of a scanning platform, which can be used for both outdoor and indoor mobile robot navigation and mapping. A 3D scanning platform based on a 2D laser rangefinder was designed in compact way for fast and accurate mapping with maximum field of view. The range finder is rotated around the vertical axis to extract the 3D indoor information. However, the scanner is designed to be placed in any direction on a mobile robot. The designed mechanism provides 360º degree horizontal by 240º degree vertical field of view. The maximum resolution is 0.36º degrees in elevation and variable in azimuth (0.1 degrees if scanning platform is set to complete a 360º degree rotation in 3.6 seconds). The proposed low cost compact design is tested by scanning a physical environment with known dimensions to show that it can be used as a precise and reliable high quality 3D sensor for autonomous mobile robots.

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