scholarly journals Footprint-Based Health Monitoring Database using Raspberry PI

2020 ◽  
Vol 8 (6) ◽  
pp. 851-854
Keyword(s):  
Image Processing ◽  
Health Monitoring ◽  
Processing System ◽  
Processing Technique ◽  
Health Condition ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Data Allocation ◽  
Color Analysis ◽  
The Web

The health monitoring of the person can be done in the different ways. The health of the patient can be determined by the image processing technique. The biometric parameters can gather the details of the health condition of the patient. The digital image processing can be applied in the various filed such as medical, geology, research etc., In this paper they proposes the foot print technology this can capture the foot print of the patient by using the web cam. The captured image can be analyzed by using the shape and the dimension analysis. The foot print can reads the each person identity. Based upon the identity and the numbers the image processing system is implemented. It uses the raspberry pi as the main part. The data which is captured by the web cam can be stored in the SD card. The data allocation is done in the memory path. The classification of the data is takes place by using the data separation algorithm. The color analysis can takes place a significant place based upon the color we can able to classify the foot print and makes it for further analysis. There are several steps can be took place the image acquisition, edge detection, feature extraction, pattern recognition, pattern matching. The matched image can be provided as the better result. Based upon the result the health condition can be predicted. This method is highly effective and accurate when compared to other method

scholarly journals Human Distance Estimation using Quadcopter for Surveillance Purpose

2019 ◽  
Vol 8 (12S2) ◽  
pp. 483-488
Keyword(s):  
Image Processing ◽  
Everyday Life ◽  
Unmanned Aerial Vehicles ◽  
Crime Rate ◽  
Processing System ◽  
Distance Estimation ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Aerial Vehicles

Nowadays, quadcopters are commonly used. Quadcopters are unmanned aerial vehicles with four propellers to provide lift to fly and hover above ground. Quadcopter nowadays is a very common commercial item in everyday life. Some quadcopters are designed to do 3D or 2D mapping of a certain area or to take videos or just for entertainment purposes. Quadcopter is a very versatile item and is able to change into anything for example a quadcopter can also be used for security purposes to decrease the crime rate of our country. The objective of this study is to design and develop a quadcopter with image processing system to have the ability to measure the distance of a human from the drone itself. The quadcopter is designed to be small in size and have a mini computer like Raspberry Pi on top of it to compute the algorithm to calculate the distance of the human by using image processing technique through the camera which is setup on the drone. Human detecting algorithm YOLO and software Open CV is chosen to detect human and calculate the distance from the quadcopter. The results show that the system is quite limited by the capabilities of the hardware. The system shows an accuracy of more than 90 percent when the human is standing within a certain range. Both the accuracy of the distance sensing and human recognizing system is affected by the limitation of the hardware.

scholarly journals Design and Development of an Intelligent System for Pothole and Hump Identification on Roads

2019 ◽  
Vol 8 (3) ◽  
pp. 5294-5300 ◽  
Keyword(s):  
Image Processing ◽  
Fuel Consumption ◽  
Intelligent System ◽  
Processing Technique ◽  
Simple Solution ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Ultrasonic Sensors ◽  
Design And Development ◽  
Geographical Position

Country’s economy depend on well-maintained roads as they are major means of transportation. It becomes essential to identify pothole and humps in order to avoid accidents and damages to the vehicles that is caused because of distress to drivers and also to save fuel consumption. In this regard, this work presents a simple solution to detect potholes and humps and hence avoid accidents and help drivers. Potholes are detected using Image Processing Technique and Ultrasonic Sensors are used to detect humps. Controlling device used is Raspberry Pi. The system acquires the geographical position of potholes using Wi-Fi and transmits it to authorities to take corrective measures

scholarly journals Eyeball Controlled Wheelchair

2020 ◽  
pp. 238-247
Keyword(s):  
Image Processing ◽  
The Elderly ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Indoor Space ◽  
Driver Circuit ◽  
The Individual ◽  
Driving Circuit ◽  
Eye Gesture

: A basic wheelchair is a gadget for people influenced by moderate, extreme physical incapacities and interminable disease. It is also meant for the elderly people. Many people with disabilities cannot manage the energized wheelchair operating joystick, sound, furthermore, hand developments as it is harder for the individual to do such specific tasks also it is programming focused. This strategy comprises of equipment which reduces the person's work utilizing the image processing method. This model comprised of a camera that tracks the eyeball movement and hence the position of the pupil by the image processing technique. And thereby the wheelchair is constrained by a user’s eye gesture in an indoor space. When the development has been initiated and it is given to the Raspberry pi for processing. The procedure relies on the feed coding and an output is given into the driver circuit. Likewise, the hindrance location sensors will be associated as an Emergency Brake that gives necessary conditions for the conventional activity of the wheelchair framework. Every one of the four wheels are associated with a driving circuit that moves the wheelchair

scholarly journals Control Design for Attitude and Position Based on Real Time Color Tracking System with Image Processing Technique

2020 ◽  
Vol 13 (2) ◽  
pp. 32
Author(s):  
Hsu Myat Tin Swe ◽  
Hla Myo Tun ◽  
Maung Maung Latt
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Tracking System ◽  
Experimental Studies ◽  
Processing System ◽  
Control Design ◽  
Processing Technique ◽  
Sensor System ◽  
Image Processing Technique ◽  
Color Tracking

The paper mainly emphasizes on the control design for attitude and position based on real time color tracking system with image processing technique. The research problem in this study is to observe the high accuracy of the tracking system in image processing areas. The solution for this problem is to control the attitude and position of the object based on real time color tracking system. The objective of this study is to implement the image processing algorithms for autonomous tracking system. The specific objective of this study was fulfilled the experimental studies for contribution of real time color tracking for motion detection system in reality based on this study. This system is used the high performance camera to improve the enactment of tracking of a target and estimation of a motion. An image processing system consists of a light source to illuminate the sense, a sensor system, an interface between the sensor system and the computer. Then, color component analysis is used for color tracking system. MATLAB is competently used for tracking the ball and controlling the attitude and position of the ball.

A Novel Approach of Controlling Stoppage of Drip Infusion Using Image Processing on Raspberry PI Platform

2021 ◽  
Vol 58 (S) ◽  
pp. 65-72
Author(s):  
Hartono Pranjoto ◽  
Lanny Agustine ◽  
Diana Lestariningsih ◽  
Yesiana Dwi Wahyu Werdani ◽  
Widya Andyardja ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Detection Algorithm ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Novel Approach ◽  
Pinch Valve ◽  
Canny Edge ◽  
Infusion Fluid

Intravenous drip diffusion is a common practice to treat patients in hospitals. During treatment, nurses must check the condition of the infusion bag frequently before running out of fluid. This research proposes a novel method of checking the infusion bag using an image processing technique on a compact Raspberry PI platform. The infusion monitoring system proposed here is based solely on capturing the image of the infusion bag and the accompanying bag/ tube. When the infusion fluid enters the patient, the surface of the liquid will decrease, and at the end will reach the bottom of the infusion bag. When the image of the fluid surface touches the bottom of the infusion bag, a mechanism will trigger a relay, and then activate a pinch valve to stop the flow of the infusion fluid before it runs out. The entire system incorporates a digital camera and Raspberry as the image processor. The surface of the liquid is determined using the Canny Edge Detection algorithm, and its relative position in the tube is determined using the Hough Line Transform. The raw picture of the infusion bag and the processed image are then sent via a wireless network to become part of a larger system and can be monitored via a simple smartphone equipped with the proper application, thus becoming an Internet of Things (IoT). With this approach, nurses can carry on other tasks in caring for the patients while this system substitutes some work on checking the infusion fluid.

scholarly journals Smart Irrigation System using Iot and Image Processing

2019 ◽  
Vol 8 (6S) ◽  
pp. 115-120
Keyword(s):  
Image Processing ◽  
Soil Moisture ◽  
Moisture Content ◽  
Irrigation System ◽  
Health Condition ◽  
Solar Panel ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Power Sources ◽  
Moisture Sensor

Today the farmers are finding difficulty in monitoring the field about moisture content and temperature of the field. Hence, this project is developed to monitor the farms using the concept of Internet of Things (IoT) and Image processing. The solar panel is used in our project to utilize the renewable energy which acts as an uninterruptable power sources. The Battery is used to store the energy from the Solar panel via Charge Controller (MPPT). The Soil moisture sensor and the Humidity sensors are used to monitor the moisture content of the soil and also the temperature and humidity of the surroundings. The DC Pump can be controlled automatically (switched ON/OFF) by the Arduino, Ethernet shield and Relay, based on the soil moisture and the temperature level. These data’s and the condition of the DC Pump are send to the BLYNK ANDROID App to monitor the farms and lands by simply login to our account, and the condition of the DC Pump is also notified to the user Email with the help of internet connections by using Arduino and Ethernet shield. In image processing technique the health condition of the crop is intimated to the user with the help of Raspberry pi and webcam. The Raspberry pi captures the images of the crops and checks the images of the crops to detect its health condition whether it is infected or in Healthy condition. And the condition of the crops is intimated to the user by sending its images and health condition of the crops by E-mail notifications. This can be monitored from any part of the world.

scholarly journals Smart Leaf Recognition System

2020 ◽  
Vol 9 (5) ◽  
pp. 289-291
Keyword(s):  
Image Processing ◽  
Early Stage ◽  
Recognition System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Plant Leaves ◽  
Plant Leaf ◽  
Automatic Technique

One of major issue nowadays is the agricultural productivity which is something our Nation’s economy highly depends. Technology based advancements may lead to detection of diseases in plants which are quite natural. Care should be taken in this area before it causes serious effects on plants which mainly affect the product quality, quantity or productivity. Early stage detection of diseases in plants through some automatic technique is beneficial as it reduces a huge work of monitoring in large acres of crops. When they appear on plant leaves, earlier detection helps us to increase the yield and productivity. This paper presents an algorithm for image processing technique which is used for automatic detection and classification of plant leaf diseases with the help of raspberry pi and sensors. This survey is about different diseases and its classification, techniques which are used for plant leaf disease detection and also its respective fertilizer sprayed on the leaves.

Research and Development of Measurement Method for Structural Fracturing Process in Shake Table Tests Using Image Processing Technique

2004 ◽  
Vol 126 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Satoshi Fujita ◽  
Osamu Furuya ◽  
Tadashi Mikoshiba
Keyword(s):  
Image Processing ◽  
Measurement Method ◽  
Three Dimensional ◽  
Processing System ◽  
Steel Structure ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Shake Table ◽  
Shake Table Tests ◽  
Fracturing Process

The largest three-dimensional shake table is now being constructed in Hyogo prefecture, Japan for a solution of fracturing process of structures, buildings, and soils. However, it seems to be difficult to measure the fracturing processes of the structures during severe earthquake by using conventional methods and equipment, because the three-dimensional measurement of larger dynamic displacement in excess of elastic region of the structure will be the key to a solution and cannot be obtained by any of the vibration pick-ups such as displacement transducers and so on. In this study, R&D of the new measurement method to clarify the fracturing process of the structures by applying a so-called motion capture technique, which has been mainly studied for modeling of human actions and motions. This paper describes the concept of the system, the outline of the proto-type image processing system developed in the study and the results of the shake table test using five-story steel-structure model to investigate the measurable accuracy of the system.

An image processing technique for the observation of the viability of Steinernema carpocapsae in spray application research

Nematology ◽  
2010 ◽  
Vol 12 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Nicole Viaene ◽  
Winy Messens ◽  
David Nuyttens ◽  
Maurice Moens ◽  
Nancyde Sutter ◽  
...  
Keyword(s):  
Image Processing ◽  
Sodium Chloride ◽  
Entomopathogenic Nematodes ◽  
Processing System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Spray Application ◽  
Application Research ◽  
Image Processing System ◽  
The Difference

AbstractDamage caused to entomopathogenic nematodes by spray application is generally assessed by observing the viability of the infective juveniles under the microscope. To improve the quality and speed of this observation we developed an image processing technique and tested the efficacy of acetic acid and sodium chloride as chemical stimulants. Because of the lower standard error on the results obtained (0.7 vs 1.7), sodium chloride was eventually selected for all subsequent observations. The viability as observed with the image processing technique rose significantly with the time after the nematodes were suspended in water; however, viability as observed under the microscope was not influenced by the time. These differences can be attributed to the difference in type of stimulant (mechanical vs chemical) used. After nematodes had been in suspension for 3.5 h, the viability as measured using the image processing system was still significantly lower than the viability as measured under the microscope. This difference did not disappear after 24 h at 4, 15 or 24°C. Maintaining nematodes for 24 h at 35°C significantly decreased the viability to 5.9% (microscope) or 11.0% (image processing technique). The decrease in viability as observed with the image processing system corresponded better with the decrease in infectivity (i.e., 13.8%). Our results support further use of the image processing technique, not only to observe the viability of entomopathogenic nematodes but also to count the mobile or total number of nematodes of any species.

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