This document presents a device called FOR(E)SIGHT that was designed to assist visually impaired people. FOR(E)SIGHT uses computer vision techniques like OpenCV, optical character recognition and text-to-speech to help blind users identify objects, read text, and understand gestures. It consists of a Raspberry Pi microcontroller, camera, ultrasonic sensor and headphones. The device detects objects and text using the camera, extracts text using OCR, and converts it to audio using text-to-speech synthesis which is played through headphones. The goal was to create an affordable, small and easy to use device to help blind people with daily living activities.
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.
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.
Smart Cane for Blind Person Assisted with Android Application and Save Our So...Dr. Amarjeet Singh
Today technology is improving daily in different
aspects in order to provide flexible proposes Smart Cane
(Stick) for blind person. But there is no such kind of good
system to navigate a blind person and help in emergency
situation. In this paper, user friendly device is proposed that
can identify the obstacles in the path using ultrasonic sensors.
In this system blind person will navigated through a cane
interfaced with an android application. A blind person can
establish voice call or SMS to a predefined number just by
pressing the emergency button on cane using GSM module. In
addition, people will get notified as Facebook status updated
with emergency alert. This system develop an android
application which is smart and user-friendly. While walking
in public place during night time, the blind person can use
cane as a flashlight which illuminates automatically.
ASSISTIVE TECHNOLOGY FOR STUDENTS WITH VISUAL IMPAIRMENT ANDAUTISTIC DISORDER
SUBMITTED.
Studentswithvisualimpairments&autisticdisorderfaceuniquechallengesintheeducational&socialenvironment.
•Assistivetechnologyisonewayofsupportingtheminthatprocess.
•Itreferstoarangeoftoolsanddevicesthatallowastudenttodowork.
•AnassistivetechnologymeansAnyitem,pieceofequipment,orproductsystemthatisusedtoincrease,maintain,orimprovethefunctionalcapabilitiesofindividualswithdisabilities.
The technology is growing vastly. Everyone in humanity has some limitations. One of those limitations is visual disability. So we are here with a system that helps the visually disabled people. The framework here contains object detection with voice assistance within an app and a hardware part attached to the blinds stick for distance calculation. The app is designed to support the blind person to explore freely anywhere he wants. The working of the framework begins by surveilling the situations around the user and distinguishing them utilizing a camera. The app will then detect the objects present in the input video frame by using the SSD algorithm comparing it with the trained model. The video captured is partitioned into grids to detect the object obstacle. In this way, the subtleties of the object detected can be achieved and along with it distance measurement can also be calculated using specific algorithms. A Text to Speech TTS converter is utilized for changing over the data about the object detected into an audio speech format. The framework application passes on the scene which the blind people is going in his her territorial language with the snap of a catch. The technologies utilized here makes the framework execution effective. Sabin Khader | Meerakrishna M R | Reshma Roy | Willson Joseph C "Godeye: An Efficient System for Blinds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31631.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31631/godeye-an-efficient-system-for-blinds/sabin-khader
An HCI Principles based Framework to Support Deaf CommunityIJEACS
Sign language is a communication language preferred and used by a deaf person to converse with the common people in the community. Even with the existence of the sign language, there exist a communication gap between the normal and the disable/deaf person. Some solutions such as sensor gloves already are in place to address this problem area of communication, but they are limited and are not covering all parts of the language as required by the deaf person for the ordinary person to understand what is said and wanted? Due to the lack of credibility of the existing solutions for sign language translation, we have proposed a system that aims to assist the deaf people in communicating with the common people of the society and helping, in turn, the disabled people to understand the healthy (normal people) easily. Knowing the needs of the users will help us in focusing on the Human Computer Interaction technologies for deaf people to make it further more a user-friendly and a better alternative to the existing technologies that are in place. The Human Computer Interface (HCI) concept of usability, empirical measurement and simplicity are the key consideration in the development of our system. The proposed Kinect System removes the need for physical contact to operate by using Microsoft Kinect for Windows SDK beta. The result shows that the It has a strong, positive and emotional impact on persons with physical disabilities and their families and friends by giving them the ability to communicate in an easy manner and non-repetitive gestures.
Multi-modal Asian Conversation Mobile Video Dataset for Recognition TaskIJECEIAES
Images, audio, and videos have been used by researchers for a long time to develop several tasks regarding human facial recognition and emotion detection. Most of the available datasets usually focus on either static expression, a short video of changing emotion from neutral to peak emotion, or difference in sounds to detect the current emotion of a person. Moreover, the common datasets were collected and processed in the United States (US) or Europe, and only several datasets were originated from Asia. In this paper, we present our effort to create a unique dataset that can fill in the gap by currently available datasets. At the time of writing, our datasets contain 10 full HD (1920 1080) video clips with annotated JSON file, which is in total 100 minutes of duration and the total size of 13 GB. We believe this dataset will be useful as a training and benchmark data for a variety of research topics regarding human facial and emotion recognition.
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
Face recognition smart cane using haar-like features and eigenfacesTELKOMNIKA JOURNAL
Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the up-right position face but for other position the accuracy is only 18% until 32%.
In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, smart wheelchair can benefit a lot to them and everyone in society. Smart wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, sensor technologies and robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of smart wheelchairs and discuss the future research in this field.
Smart Cane for Blind Person Assisted with Android Application and Save Our So...Dr. Amarjeet Singh
Today technology is improving daily in different
aspects in order to provide flexible proposes Smart Cane
(Stick) for blind person. But there is no such kind of good
system to navigate a blind person and help in emergency
situation. In this paper, user friendly device is proposed that
can identify the obstacles in the path using ultrasonic sensors.
In this system blind person will navigated through a cane
interfaced with an android application. A blind person can
establish voice call or SMS to a predefined number just by
pressing the emergency button on cane using GSM module. In
addition, people will get notified as Facebook status updated
with emergency alert. This system develop an android
application which is smart and user-friendly. While walking
in public place during night time, the blind person can use
cane as a flashlight which illuminates automatically.
ASSISTIVE TECHNOLOGY FOR STUDENTS WITH VISUAL IMPAIRMENT ANDAUTISTIC DISORDER
SUBMITTED.
Studentswithvisualimpairments&autisticdisorderfaceuniquechallengesintheeducational&socialenvironment.
•Assistivetechnologyisonewayofsupportingtheminthatprocess.
•Itreferstoarangeoftoolsanddevicesthatallowastudenttodowork.
•AnassistivetechnologymeansAnyitem,pieceofequipment,orproductsystemthatisusedtoincrease,maintain,orimprovethefunctionalcapabilitiesofindividualswithdisabilities.
The technology is growing vastly. Everyone in humanity has some limitations. One of those limitations is visual disability. So we are here with a system that helps the visually disabled people. The framework here contains object detection with voice assistance within an app and a hardware part attached to the blinds stick for distance calculation. The app is designed to support the blind person to explore freely anywhere he wants. The working of the framework begins by surveilling the situations around the user and distinguishing them utilizing a camera. The app will then detect the objects present in the input video frame by using the SSD algorithm comparing it with the trained model. The video captured is partitioned into grids to detect the object obstacle. In this way, the subtleties of the object detected can be achieved and along with it distance measurement can also be calculated using specific algorithms. A Text to Speech TTS converter is utilized for changing over the data about the object detected into an audio speech format. The framework application passes on the scene which the blind people is going in his her territorial language with the snap of a catch. The technologies utilized here makes the framework execution effective. Sabin Khader | Meerakrishna M R | Reshma Roy | Willson Joseph C "Godeye: An Efficient System for Blinds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31631.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31631/godeye-an-efficient-system-for-blinds/sabin-khader
An HCI Principles based Framework to Support Deaf CommunityIJEACS
Sign language is a communication language preferred and used by a deaf person to converse with the common people in the community. Even with the existence of the sign language, there exist a communication gap between the normal and the disable/deaf person. Some solutions such as sensor gloves already are in place to address this problem area of communication, but they are limited and are not covering all parts of the language as required by the deaf person for the ordinary person to understand what is said and wanted? Due to the lack of credibility of the existing solutions for sign language translation, we have proposed a system that aims to assist the deaf people in communicating with the common people of the society and helping, in turn, the disabled people to understand the healthy (normal people) easily. Knowing the needs of the users will help us in focusing on the Human Computer Interaction technologies for deaf people to make it further more a user-friendly and a better alternative to the existing technologies that are in place. The Human Computer Interface (HCI) concept of usability, empirical measurement and simplicity are the key consideration in the development of our system. The proposed Kinect System removes the need for physical contact to operate by using Microsoft Kinect for Windows SDK beta. The result shows that the It has a strong, positive and emotional impact on persons with physical disabilities and their families and friends by giving them the ability to communicate in an easy manner and non-repetitive gestures.
Multi-modal Asian Conversation Mobile Video Dataset for Recognition TaskIJECEIAES
Images, audio, and videos have been used by researchers for a long time to develop several tasks regarding human facial recognition and emotion detection. Most of the available datasets usually focus on either static expression, a short video of changing emotion from neutral to peak emotion, or difference in sounds to detect the current emotion of a person. Moreover, the common datasets were collected and processed in the United States (US) or Europe, and only several datasets were originated from Asia. In this paper, we present our effort to create a unique dataset that can fill in the gap by currently available datasets. At the time of writing, our datasets contain 10 full HD (1920 1080) video clips with annotated JSON file, which is in total 100 minutes of duration and the total size of 13 GB. We believe this dataset will be useful as a training and benchmark data for a variety of research topics regarding human facial and emotion recognition.
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
Face recognition smart cane using haar-like features and eigenfacesTELKOMNIKA JOURNAL
Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the up-right position face but for other position the accuracy is only 18% until 32%.
In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, smart wheelchair can benefit a lot to them and everyone in society. Smart wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, sensor technologies and robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of smart wheelchairs and discuss the future research in this field.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.