scholarly journals Intelligent Deployable Mini Rover from the Mars Rover for Deep Narrow Scientific Investigation

2019 ◽  
pp. 174-184
Author(s):  
Muhammed Sharukh ◽  
Badsha Karim ◽  
Sajin NV ◽  
Jameson Thomas
Keyword(s):  
Image Processing ◽  
Body Weight ◽  
Scientific Investigation ◽  
Robotic Arm ◽  
Harsh Environments ◽  
Raspberry Pi ◽  
System Control ◽  
Mars Rover ◽  
Reflex Mechanism ◽  
Differential Drive

The paper describes various issues faced by mini rover deployed from main rover in an alien environment and the ways to solve them. The rover features a rocker bogie mechanism with differential drive, collision free distance sensing, wireless XBee control and camera Vision. The rover features a flexible segmented body with a multipurpose arm, corresponding multi wheel mechanism and Kinect module integration for advanced image processing. The system control, for both the Rover as well the robotic arm integrated with it, is done using feasible yet extremely efficient microcontrollers and microprocessors such as Arduino, Raspberry pi etc. Inspired from nature, a reflex mechanism has also been integrated into the rover design to minimize damage, by automated safety reflexes. The six wheeled rocker bogie mechanism ensures that it can traverse over a considerable height greater than the chassis height which could be as much as twice the diameter of the wheels. The rocker bogie mechanism provides traction due to its body weight. The rover finds applications in the exploration of other planets and harsh environments. Such an effort may even prove to be instrumental in detection and study of biological activity in worlds other than ours.

scholarly journals IoT-based Pet Feeding Robot Design and Development

2021 ◽  
Vol 9 (VI) ◽  
pp. 3637-3644
Author(s):  
P. Ajay
Keyword(s):  
Body Weight ◽  
Remote Control ◽  
Internet Of Things ◽  
Raspberry Pi ◽  
Robot Design ◽  
Design And Development ◽  
Pet Owners ◽  
At Home

Pets in the home need particular attention and care. They must be provided with food, beverages, and medicine as soon as possible. Due of most owners' hectic lifestyles, this job may not be as easy as anticipated. Inadequate attention to the requirements of pets may have serious consequences such as hunger and illness, among other things. In light of the above, this paper presents an Internet of Things-based automated feeder system that use the Raspberry Pi for remote control, scheduling, and intelligence. Its design and subsequent execution are anticipated to at least take care of the nutritional aspects of pets by delivering food, beverages, and medicine to pets on a schedule or as needed in the absence of the owner. As a result, the goal of this study is to automate the monitoring and feeding procedure, which is now done manually by pet owners. The four-wheeled system allows it to effortlessly climb stairs. Because of its body weight, the mechanism generates traction. The robot has applications such as remote feeding of every kind of animal from afar, remote exploration of the house to deceive thieves into believing someone is at home. It also lets you customise daily meals, keep your pet secure while you are away from home, store up to 7 pound, keep food fresh, and monitor your pet's nutrition. The robot may also prevent a person from eating a particular meal while allowing other animals to access the food. All these features attract owners of more than one animal to the robot.

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.

scholarly journals A Real Time Image Processing Bird Repellent System Using Raspberry Pi

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Oluwole Arowolo ◽  
Adefemi A Adekunle ◽  
Joshua A Ade-Omowaye
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Moving Objects ◽  
Detection System ◽  
Local Binary Patterns ◽  
Raspberry Pi ◽  
Feature Identification ◽  
Data Set ◽  
Haar Features ◽  
Haar Feature

Rice is one of the most consumed foods in Nigeria, therefore it’s production should be on the high as to meet the demand for it. Unfortunately, the quantity of rice produced is being affected by pests such as birds on fields and sometimes in storage. Due to the activities of birds, an effective repellent system is required on rice fields. The proposed effective repellent system is made up of hardware components which are the raspberry pi for image processing, the servo motors for rotation of camera for better field of view controlled by Arduino connected to the raspberry pi, a speaker for generating predator sounds to scare birds away and software component consisting of python and Open Cv library for bird feature identification. The model was trained separately using haar features, HOG (Histogram of Oriented Gradients) and LBP (Local Binary Patterns).Haar features resulted in the highest accuracy of 76% while HOG and LBP were, 27% and 72% respectively. Haar trained model was tested with two recorded real time videos with birds, the false positives were fairly low, about 41%. This haar feature trained model can distinguish between birds and other moving objects unlike a motion detection system which detects all moving objects. This proposed system can be improved to have a higher accuracy with a larger data set of positive and negative images. Keywords—Electronic pest repeller Haar cascade classifier, ultrasonic

scholarly journals Analysis of Potholes on Road Using Image Processing

2021 ◽  
Vol 9 (8) ◽  
pp. 1731-1734
Author(s):  
K. S. Prasath
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Computer Science ◽  
Research Area ◽  
Raspberry Pi ◽  
Image Detection ◽  
The Road ◽  
Text Signals ◽  
Science Disciplines

Abstract: Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is one among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too. Image detection on road is primarily carried out with the help of camera with Raspberry pi 3 model b+ and stimulation software. The device is built in such a way that we can identify any potholes in the respective roads and able to rectify as soon as possible with the help of the device. The data signals shared by the device will be converted to text signals from which we can get it right. These devices are fixed at top of the lamppost which is located at the corners of the road from where the device is monitoring the road at 120 degree for weekly once respectively. Keywords: Image processing, Image detection on road, Raspberry pi 3, 120 degree

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