Amphibious Line following Robot for Product Delivery in Context of Bangladesh

Mostafa, Muhammad Shafayat Bin; Masum, Abdul Kadar Muhammad; Uddin, Mohammad Shahed; Chy, Md. Kalim Amzad; Reza, S M Taslim

doi:10.1109/ecace.2019.8679260

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…This route is often specified on a black surface as a white line or on a white surface as a black line. Mostafa et al [ 53 ] propose an amphibian line following robot, which can move in both lands and at certain water levels. A line that follows a robot reaches its target by following the predefined path as a white line over a black surface.…”

Section: Related Workmentioning

confidence: 99%

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Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

Chy

Masum

Sayeed

et al. 2021

Sensors

Self Cite

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The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it transports documents or records to another destination. This study proposes Delicar, a self-driving product delivery vehicle that can drive the vehicle on the road and report the current geographical location to the authority in real-time through a map. The equipped camera module captures the road image and transfers it to the computer via socket server programming. The raspberry pi sends the camera image and waits for the steering angle value. The image is fed to the pre-trained deep learning model that predicts the steering angle regarding that situation. Then the steering angle value is passed to the raspberry pi that directs the L298 motor driver which direction the wheel should follow. Based upon this direction, L298 decides either forward or left or right or backwards movement. The 3-cell 12V LiPo battery handles the power supply to the raspberry pi and L298 motor driver. A buck converter regulates a 5V 3A power supply to the raspberry pi to be working. Nvidia CNN architecture has been followed, containing nine layers including five convolution layers and three dense layers to develop the steering angle predictive model. Geoip2 (a python library) retrieves the longitude and latitude from the equipped system’s IP address to report the live geographical position to the authorities. After that, Folium is used to depict the geographical location. Moreover, the system’s infrastructure is far too low-cost and easy to install.

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Section: Related Workmentioning

confidence: 99%

“…A group of researchers [ 53 ] proposes an amphibian line following robot for product delivery in Bangladesh perspective, which can move in both lands and at certain water levels. A line that follows a robot reaches its target by following the predefined path as a white line over a black surface.…”

Section: Related Workmentioning

confidence: 99%

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

Chy

Masum

Sayeed

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

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“…As shown in Figure 3, the circuit is composed of several circuit blocks with installed components according to their functions, and are electrically combined to become a system that is suitable for module design. There are several blocks installed in this system; (a) System minimum [31], [32], (b) sensor circuit, and (c) 16x2 LCD.…”

Section: B System Hardwarementioning

confidence: 99%

Gas Pressure Measurement Device and Medical Vacuum Design

Tunggal

Sanjaya

Widodo

et al. 2020

jrc

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Two methods are used in a digital pressure meter available in the market, namely positive pressure, and negative pressure. The positive one is used to measure the air pressure on a sphygmomanometer and medical gas pressure at an outlet in the treatment room so that operators can easily check medical gas pressure for the safety of the patient, or they can routinely check to find out how much pressure of the medical gas. Based on the background, the research aimed to design a digital pressure meter equipped with a medical gas measurement mode so that the device can be used to calibrate the sphygmomanometer, suction pump, and measure the medical gas pressure available at the medical gas outlet in each treatment room.

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“…The robot can follow the curve path smoothly. Besides Arduino [24][25], line-following robots can also use the microcontroller ATMega32A [26][27] and ATMega328 Pro [28].…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Line Following Robot in Webots

Ma’arif

Nuryono

Iswanto

2020

2020 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE)

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Line following robot is one of the popular robots commonly used for educational purposes. The most widely used sensors for the robots are photoelectric sensors. However, it is irrelevant, along with the development of autonomous vehicles and robotic vision. Robotic vision is a robot that can obtain information through image processing by the camera. The camera installed on the line following robot aims to detect image-based lines and to navigate the robot to follow the path. This paper proposed a method of image preprocessing along with its robot action for line-following robots. This includes image preprocessing such as dilation, erosion, Gaussian filtering, contour search, and centerline definition to detect path lines and to determine the proper robot action. The implementation of the robot is simulated using Webots simulator. OpenCV and Python are utilized to design line detection systems and robot movements. The simulation result shows that the method is implemented properly, and the robot can follow a different type of path lines such as zigzag, dotted, and curved line. The resolution of the cropped-image frame is the fundamental parameter in detecting path lines.

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Amphibious Line following Robot for Product Delivery in Context of Bangladesh

Cited by 4 publications

References 10 publications

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

Gas Pressure Measurement Device and Medical Vacuum Design

Vision-Based Line Following Robot in Webots

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