Visual, navigation and communication aid for visually impaired person IJECEIAES
The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained model to classify common objects from household items to automobiles items. Optical character recognition and Google translate were executed to read any text from image and convert speech of the user to text respectively. Besides, the user can search for an interesting topic by the command in the form of speech. Additionally, ultrasonic sensors were kept fixed at three positions to sense the obstacle during navigation. The display attached help in communication with deaf person and GPS and GSM module aid in tracing the user. All these features run by voice commands which are passed through the microphone of any earphone. The visual input is received through the camera and the computation task is processed in the raspberry pi board. However, the device seemed to be effective during the test and validation.
Video Analytics applications like security and
surveillance face a critical problem of person re-identification
abbreviated as re-ID. The last decade witnessed the emergence of
large-scale datasets and deep learning methods to use these huge
data volumes. Most current re-ID methods are classified into
either image-based or video-based re-ID
Visual, navigation and communication aid for visually impaired person IJECEIAES
The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained model to classify common objects from household items to automobiles items. Optical character recognition and Google translate were executed to read any text from image and convert speech of the user to text respectively. Besides, the user can search for an interesting topic by the command in the form of speech. Additionally, ultrasonic sensors were kept fixed at three positions to sense the obstacle during navigation. The display attached help in communication with deaf person and GPS and GSM module aid in tracing the user. All these features run by voice commands which are passed through the microphone of any earphone. The visual input is received through the camera and the computation task is processed in the raspberry pi board. However, the device seemed to be effective during the test and validation.
Video Analytics applications like security and
surveillance face a critical problem of person re-identification
abbreviated as re-ID. The last decade witnessed the emergence of
large-scale datasets and deep learning methods to use these huge
data volumes. Most current re-ID methods are classified into
either image-based or video-based re-ID
F B ASED T ALKING S IGNAGE FOR B LIND N AVIGATIONIJCI JOURNAL
The major challenge of visually impaired person is
in mobility, object identification and identificati
on of
space around him/her. The proposed RF Based Talking
Signage for Blind Navigation aims to provide a
universal electronic travel guide for the visually
challenged people. This system incorporates a user
friendly and versatile method called “Talking Signa
ge” that is implemented using android devices. The
system uses an Android application in the mobile ph
one which could deliver voice messages about the us
er
environment via a heterogeneous network. It can be
deployed in any dense environment so that blind
persons can fulfill their needs. The primary advant
age of the system compared to other system in the a
rea is
low cost, ease of transport, less power consumption
, lightweight, and it could be utilized by those pe
oples
who are technically challenged. The architecture pr
oposed in this paper clearly shows communication
between a mobile phone and a heterogeneous network
enabled with RF devices. We have implemented the
system in our university environment and the propos
ed system found to be a great success
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
F B ASED T ALKING S IGNAGE FOR B LIND N AVIGATIONIJCI JOURNAL
The major challenge of visually impaired person is
in mobility, object identification and identificati
on of
space around him/her. The proposed RF Based Talking
Signage for Blind Navigation aims to provide a
universal electronic travel guide for the visually
challenged people. This system incorporates a user
friendly and versatile method called “Talking Signa
ge” that is implemented using android devices. The
system uses an Android application in the mobile ph
one which could deliver voice messages about the us
er
environment via a heterogeneous network. It can be
deployed in any dense environment so that blind
persons can fulfill their needs. The primary advant
age of the system compared to other system in the a
rea is
low cost, ease of transport, less power consumption
, lightweight, and it could be utilized by those pe
oples
who are technically challenged. The architecture pr
oposed in this paper clearly shows communication
between a mobile phone and a heterogeneous network
enabled with RF devices. We have implemented the
system in our university environment and the propos
ed system found to be a great success
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
Real Time Hand Gesture Recognition Based Control of Arduino Robotijtsrd
The main objective of this project aims at delivering the need for one of many applications of the Internet of Things domain. It is a combination of various domains such as image processing and robotics for development in the field of the Internet Of Things IoT now also termed as Internet Of Everything IoE after seeing its involvement in almost everything happening in our day to day lives. With increased dependency on home automation and wireless controlled equipment and gadgets, this project also shares some scope in home automation. To improve the functionality of gadgets and to increase their efficiency we thought of creating a device to cater to these needs and explore alongside our own interest in the field of the Internet of Things. This paper presents the design, functioning, and successful testing of a rover controlled wirelessly with help of hand gestures. Gesture Recognition has played important role in the field of Human Computer Interaction HCI . Vision based hand gesture recognition provides a great solution to various machine vision based applications by providing an easy interaction channel. For various automated machine control applications, an effective real time communication approach is required. In this paper, a vision based hand gesture based approach is presented for providing a real time control of Arduino based robot. Combining all of these concepts into a single device that can recognize hand gestures and sends data wirelessly to remote devices for surveillance and other purposes. Dr. Sunil Chavan | Prof. Revti Jadhav | Jayesh Mankar | Suyash Thakur | Shahid Ansari | Vatsal Panchal "Real-Time Hand Gesture Recognition Based Control of Arduino Robot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-4 , June 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49934.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/49934/realtime-hand-gesture-recognition-based-control-of-arduino-robot/dr-sunil-chavan
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.