Air Eyes is a smart accessory that uses air pulses through glasses to help blind people better sense their social environment. It contains sensors to detect people and their movements, and an air system to generate pulses that increase or decrease based on a person's proximity. It was tested at Overbrook School for the Blind, where users felt it helped with spatial awareness and navigation. The designer continued iterating and refining the design based on usability feedback to enhance comfort and social acceptance.
Biometrics uses measurements of biological characteristics to identify individuals. Common biometric scanning devices include face scanners, hand scanners, fingerprint scanners, iris/retina scanners, and voice analyzers. Iris and retina scanners are generally the most secure as the iris and retina cannot be duplicated, while voice recordings can bypass voice analyzers. Emerging research is exploring biometrics based on brain and heart signals, which could provide even more secure identification.
The document discusses different types of scanning devices used for biometric identification. It describes fingerprint, voice, face, eye retina, and hand scanners. Fingerprint scanners identify individuals by their unique fingerprint patterns. Voice scanners analyze a person's voice mathematically. Face scanners take measurements of a person's face. Eye retina scanners identify people by scanning the iris or retina of their eyes. All biometric scanners capture a sample, extract unique data, compare to stored templates, and determine a match or non-match.
A bold presentation designed to share information about a prototype device which would help visually impaired persons. A demonstration of the prototype was given following the presentation. Created for Mr. Taliani's English 12 Design Challenge of SP17.
Finger print sensor and its applicationArnab Podder
This document presents a seminar on fingerprint sensors and their applications. It discusses the overview and working of fingerprint sensors, including the different types of fingerprint patterns and sensors. Some key applications of fingerprint sensors mentioned are voter registration, border control, device security, and digital payments. The document outlines advantages such as security and ease of use, as well as disadvantages relating to image quality. It concludes by discussing future applications of fingerprint authentication in areas like banking and government services.
This document summarizes Skinput technology, which allows users to control devices by tapping on their skin. Skinput uses sensors to track taps on the arm and listen to vibrations in the body. It consists of an acoustic detector, pico projector, and Bluetooth connection. Some advantages are that it does not require direct interaction with devices and helps people with larger fingers. Potential applications include sending texts and controlling music by tapping the arm. Future developments could make the armband smaller and incorporate more devices.
This document discusses biometrics, which is the measurement and analysis of people's physical and behavioral characteristics for identification purposes. It describes several biometric technologies including fingerprint recognition, facial recognition, voice recognition, iris recognition, retina recognition, and hand geometry. For each technology, it explains the basic process and how unique physical traits are measured and analyzed. The advantages of biometrics are that they cannot be lost, stolen, or forgotten like passwords. However, biometrics also have disadvantages like high costs and potential inaccuracies. Biometrics have applications in security, banking, healthcare, and other fields.
This document discusses the human body as a touch screen called Skinput. Skinput allows users to control devices by tapping on their skin. It consists of a pico-projector, Bluetooth, and a bio-acoustic detector. The system works by using the pico-projector and detecting ultra low frequency sounds from taps on the skin. Current applications include mobile devices, gaming, and assisting paralyzed individuals. Research is ongoing to miniaturize the system into a wristwatch-sized device.
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
Biometrics uses measurements of biological characteristics to identify individuals. Common biometric scanning devices include face scanners, hand scanners, fingerprint scanners, iris/retina scanners, and voice analyzers. Iris and retina scanners are generally the most secure as the iris and retina cannot be duplicated, while voice recordings can bypass voice analyzers. Emerging research is exploring biometrics based on brain and heart signals, which could provide even more secure identification.
The document discusses different types of scanning devices used for biometric identification. It describes fingerprint, voice, face, eye retina, and hand scanners. Fingerprint scanners identify individuals by their unique fingerprint patterns. Voice scanners analyze a person's voice mathematically. Face scanners take measurements of a person's face. Eye retina scanners identify people by scanning the iris or retina of their eyes. All biometric scanners capture a sample, extract unique data, compare to stored templates, and determine a match or non-match.
A bold presentation designed to share information about a prototype device which would help visually impaired persons. A demonstration of the prototype was given following the presentation. Created for Mr. Taliani's English 12 Design Challenge of SP17.
Finger print sensor and its applicationArnab Podder
This document presents a seminar on fingerprint sensors and their applications. It discusses the overview and working of fingerprint sensors, including the different types of fingerprint patterns and sensors. Some key applications of fingerprint sensors mentioned are voter registration, border control, device security, and digital payments. The document outlines advantages such as security and ease of use, as well as disadvantages relating to image quality. It concludes by discussing future applications of fingerprint authentication in areas like banking and government services.
This document summarizes Skinput technology, which allows users to control devices by tapping on their skin. Skinput uses sensors to track taps on the arm and listen to vibrations in the body. It consists of an acoustic detector, pico projector, and Bluetooth connection. Some advantages are that it does not require direct interaction with devices and helps people with larger fingers. Potential applications include sending texts and controlling music by tapping the arm. Future developments could make the armband smaller and incorporate more devices.
This document discusses biometrics, which is the measurement and analysis of people's physical and behavioral characteristics for identification purposes. It describes several biometric technologies including fingerprint recognition, facial recognition, voice recognition, iris recognition, retina recognition, and hand geometry. For each technology, it explains the basic process and how unique physical traits are measured and analyzed. The advantages of biometrics are that they cannot be lost, stolen, or forgotten like passwords. However, biometrics also have disadvantages like high costs and potential inaccuracies. Biometrics have applications in security, banking, healthcare, and other fields.
This document discusses the human body as a touch screen called Skinput. Skinput allows users to control devices by tapping on their skin. It consists of a pico-projector, Bluetooth, and a bio-acoustic detector. The system works by using the pico-projector and detecting ultra low frequency sounds from taps on the skin. Current applications include mobile devices, gaming, and assisting paralyzed individuals. Research is ongoing to miniaturize the system into a wristwatch-sized device.
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
The document discusses iris recognition as a biometric identification method that uses pattern recognition techniques to identify individuals based on the unique patterns in their irises. It provides an overview of the history and development of iris recognition, describes the components of an iris recognition system including image acquisition, segmentation, normalization, and feature encoding, and discusses applications of iris recognition including uses for border control, computer login authentication, and other security purposes.
Biometrics uses physiological characteristics like fingerprints, iris patterns, and voice to identify individuals. The iris, located around the pupil, regulates the size of the pupil and has complex random patterns that are unique to each person. Iris recognition uses cameras to capture an iris image, overlay a grid to analyze patterns, and compare it to stored templates to identify a person. Iris scanning is highly accurate for identification and authentication purposes across applications like border control, computer login, and financial transactions due to the iris having unique patterns that remain stable throughout life.
The document summarizes iris recognition as a biometric identification method. It describes the anatomy of the human eye and details how the iris has unique patterns that can be used to identify individuals. The summary explains that iris recognition works by imaging the iris, locating its boundaries, normalizing variations, and matching its texture patterns to encoded templates in a database. With over 200 identifying features, the iris provides very high accuracy for identification applications such as border control, ATMs, and computer login authentication.
This document discusses biometric technology, which uses unique human characteristics like fingerprints, iris patterns, and voice to authenticate identity. It describes several types of biometric technologies including fingerprint recognition, iris scanning, retina scanning, facial recognition, voice recognition, and signature recognition. The document also covers how biometric systems work, advantages like increased security, and disadvantages like high costs and changing biometrics over time. It concludes that biometric technology provides a user-friendly way to interact with devices without needing passwords.
The document discusses iris biometrics and an iris recognition system. It provides details on iris anatomy, image acquisition, preprocessing, iris localization including pupil and iris detection, iris normalization, feature extraction using Haar wavelets, and matching. It evaluates the system on three databases achieving over 94% accuracy with low false acceptance and rejection rates. Further work is proposed on fusion, dual extraction approaches, indexing large databases, and using local descriptors.
This document provides an overview of iris recognition technology. It discusses what the iris is, why it is useful for biometric identification, the history and applications of iris recognition. It then describes the main steps in an iris recognition system: image acquisition, segmentation, normalization, feature encoding, matching. It discusses some common feature encoding and matching methods. In conclusion, iris recognition is considered the most accurate biometric technology due to the iris's complex patterns and stability over time.
This document discusses iris recognition as a biometric method for uniquely identifying individuals. It begins by explaining biometrics and the need for identification methods due to advances in technology and globalization. It then describes the anatomy of the human eye and details how the iris is unique among individuals and stable over one's lifetime, making it suitable for recognition. The document explains John Daugman's algorithms for iris encoding and matching iris codes to identify individuals. It discusses applications of iris recognition including border control, ATM access, and forensic identification. The document concludes that iris recognition is a highly accurate and secure biometric method due to the statistical rarity of matching irises between individuals.
Skinput is an input technology that uses the human skin as a touch surface to control mobile devices. It works by detecting vibrations on the skin from taps and gestures using sensors in an arm band. The system utilizes both pico projectors and acoustic detectors - the projectors display touch controls on the skin, and the detectors pick up the low frequency sounds from taps to determine the input location. Skinput allows for intuitive interaction without physical buttons by turning the arm and body into a touch interface. Research is ongoing to miniaturize the technology for applications like smaller wearable devices.
The document discusses the rise of wearable technology and quantified self-tracking. It describes how wearables can track health metrics like steps, heart rate, and temperature. Emerging wearables use flexible screens, long lasting batteries, and new sensors. The document also explores how wearables could be used for communication aids, fashion, utility clothing, and 3D printing of custom devices. Artists are experimenting with imaginative smart fashion designs that incorporate solar power and interactive elements. The future of wearables looks promising as the technology advances.
The document discusses iris biometrics for identification. It describes the retina and iris, noting that the unique patterns of blood vessels and iris are highly distinctive even between identical twins. Iris recognition involves using cameras to capture high-resolution photos of the iris within a few feet. Software then locates the iris boundaries, normalizes it, and encodes the pattern to generate an iris code for identification purposes by comparing to stored templates. The iris remains stable over a lifetime but can be affected by some eye diseases. Compared to other biometrics, iris scanning is accurate, stable, fast, and scalable for identification.
Introduction to Bio-metrics and it's typesVinit Varu
This presentation will introduce you to various bio-metrics like signature, voice, fingerprints, face, iris, retina etc. and their basic working. This group presentation was held at College of Engineering, Pune. It doesn't contain much text in slides, try interpreting from the images.
Study and development of Iris Segmentation and Normalization TechniqueSunil Kumar Chawla
The document is a thesis presentation on studying and developing iris segmentation and normalization techniques. It contains an introduction to biometrics and iris recognition. The document discusses literature on iris segmentation and normalization methods. It also covers topics like the anatomy and properties of the iris, existing iris recognition systems, and issues regarding biometrics. The goal is to develop an iris recognition system and evaluate its performance.
The document discusses several biometric methods including palm print recognition, ear biometrics, and DNA biometrics. For palm print recognition, it describes how palm prints contain unique ridge characteristics similar to fingerprints and can be used for identification. It outlines the palm print recognition process including acquisition, preprocessing, feature extraction, matching, and database storage. For ear biometrics, it discusses different identification methods using ear photos, earmarks, and thermograms. DNA biometrics is described as using genetic analysis to identify individuals from biological samples and its use in forensic science, medical diagnosis, and establishing ancestry.
The document discusses iris recognition as a biometric identification method. It provides a brief history of iris recognition from its proposal in 1939 to its implementation in 1990 by Dr. John Daugman who created algorithms for it. The document outlines the iris recognition process including iris localization, normalization, feature extraction using Gabor filters, and matching using techniques like Euclidean distance. It discusses advantages like accuracy and stability of iris patterns, and disadvantages such as cost and inability to capture images from certain positions.
This report will give idea of key steps in developing an algorithm for \’Iris based Recognition system\’.Experimental observations as well are also shown.
Third Eye for Blind Ultrasonic Vibration Gloves.pptxkayvyyyy
The concept of a “Third eye for Blind" typically refers to a wearable device that helps individuals who are visually impaired to navigate their surroundings more easily. One such device is an ultrasonic vibrator glove.
The document describes a proposed smart glove system to help visually impaired people navigate safely. The system uses ultrasonic sensors, a microcontroller, and vibratory feedback to alert users to obstacles in front of them. It integrates these components into a glove, allowing blind users to detect obstacles from 2cm to 300cm away through vibrations in the glove. The goal is to provide a convenient and safe way for blind people to have independent mobility and explore their environment.
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
The document discusses iris recognition as a biometric identification method that uses pattern recognition techniques to identify individuals based on the unique patterns in their irises. It provides an overview of the history and development of iris recognition, describes the components of an iris recognition system including image acquisition, segmentation, normalization, and feature encoding, and discusses applications of iris recognition including uses for border control, computer login authentication, and other security purposes.
Biometrics uses physiological characteristics like fingerprints, iris patterns, and voice to identify individuals. The iris, located around the pupil, regulates the size of the pupil and has complex random patterns that are unique to each person. Iris recognition uses cameras to capture an iris image, overlay a grid to analyze patterns, and compare it to stored templates to identify a person. Iris scanning is highly accurate for identification and authentication purposes across applications like border control, computer login, and financial transactions due to the iris having unique patterns that remain stable throughout life.
The document summarizes iris recognition as a biometric identification method. It describes the anatomy of the human eye and details how the iris has unique patterns that can be used to identify individuals. The summary explains that iris recognition works by imaging the iris, locating its boundaries, normalizing variations, and matching its texture patterns to encoded templates in a database. With over 200 identifying features, the iris provides very high accuracy for identification applications such as border control, ATMs, and computer login authentication.
This document discusses biometric technology, which uses unique human characteristics like fingerprints, iris patterns, and voice to authenticate identity. It describes several types of biometric technologies including fingerprint recognition, iris scanning, retina scanning, facial recognition, voice recognition, and signature recognition. The document also covers how biometric systems work, advantages like increased security, and disadvantages like high costs and changing biometrics over time. It concludes that biometric technology provides a user-friendly way to interact with devices without needing passwords.
The document discusses iris biometrics and an iris recognition system. It provides details on iris anatomy, image acquisition, preprocessing, iris localization including pupil and iris detection, iris normalization, feature extraction using Haar wavelets, and matching. It evaluates the system on three databases achieving over 94% accuracy with low false acceptance and rejection rates. Further work is proposed on fusion, dual extraction approaches, indexing large databases, and using local descriptors.
This document provides an overview of iris recognition technology. It discusses what the iris is, why it is useful for biometric identification, the history and applications of iris recognition. It then describes the main steps in an iris recognition system: image acquisition, segmentation, normalization, feature encoding, matching. It discusses some common feature encoding and matching methods. In conclusion, iris recognition is considered the most accurate biometric technology due to the iris's complex patterns and stability over time.
This document discusses iris recognition as a biometric method for uniquely identifying individuals. It begins by explaining biometrics and the need for identification methods due to advances in technology and globalization. It then describes the anatomy of the human eye and details how the iris is unique among individuals and stable over one's lifetime, making it suitable for recognition. The document explains John Daugman's algorithms for iris encoding and matching iris codes to identify individuals. It discusses applications of iris recognition including border control, ATM access, and forensic identification. The document concludes that iris recognition is a highly accurate and secure biometric method due to the statistical rarity of matching irises between individuals.
Skinput is an input technology that uses the human skin as a touch surface to control mobile devices. It works by detecting vibrations on the skin from taps and gestures using sensors in an arm band. The system utilizes both pico projectors and acoustic detectors - the projectors display touch controls on the skin, and the detectors pick up the low frequency sounds from taps to determine the input location. Skinput allows for intuitive interaction without physical buttons by turning the arm and body into a touch interface. Research is ongoing to miniaturize the technology for applications like smaller wearable devices.
The document discusses the rise of wearable technology and quantified self-tracking. It describes how wearables can track health metrics like steps, heart rate, and temperature. Emerging wearables use flexible screens, long lasting batteries, and new sensors. The document also explores how wearables could be used for communication aids, fashion, utility clothing, and 3D printing of custom devices. Artists are experimenting with imaginative smart fashion designs that incorporate solar power and interactive elements. The future of wearables looks promising as the technology advances.
The document discusses iris biometrics for identification. It describes the retina and iris, noting that the unique patterns of blood vessels and iris are highly distinctive even between identical twins. Iris recognition involves using cameras to capture high-resolution photos of the iris within a few feet. Software then locates the iris boundaries, normalizes it, and encodes the pattern to generate an iris code for identification purposes by comparing to stored templates. The iris remains stable over a lifetime but can be affected by some eye diseases. Compared to other biometrics, iris scanning is accurate, stable, fast, and scalable for identification.
Introduction to Bio-metrics and it's typesVinit Varu
This presentation will introduce you to various bio-metrics like signature, voice, fingerprints, face, iris, retina etc. and their basic working. This group presentation was held at College of Engineering, Pune. It doesn't contain much text in slides, try interpreting from the images.
Study and development of Iris Segmentation and Normalization TechniqueSunil Kumar Chawla
The document is a thesis presentation on studying and developing iris segmentation and normalization techniques. It contains an introduction to biometrics and iris recognition. The document discusses literature on iris segmentation and normalization methods. It also covers topics like the anatomy and properties of the iris, existing iris recognition systems, and issues regarding biometrics. The goal is to develop an iris recognition system and evaluate its performance.
The document discusses several biometric methods including palm print recognition, ear biometrics, and DNA biometrics. For palm print recognition, it describes how palm prints contain unique ridge characteristics similar to fingerprints and can be used for identification. It outlines the palm print recognition process including acquisition, preprocessing, feature extraction, matching, and database storage. For ear biometrics, it discusses different identification methods using ear photos, earmarks, and thermograms. DNA biometrics is described as using genetic analysis to identify individuals from biological samples and its use in forensic science, medical diagnosis, and establishing ancestry.
The document discusses iris recognition as a biometric identification method. It provides a brief history of iris recognition from its proposal in 1939 to its implementation in 1990 by Dr. John Daugman who created algorithms for it. The document outlines the iris recognition process including iris localization, normalization, feature extraction using Gabor filters, and matching using techniques like Euclidean distance. It discusses advantages like accuracy and stability of iris patterns, and disadvantages such as cost and inability to capture images from certain positions.
This report will give idea of key steps in developing an algorithm for \’Iris based Recognition system\’.Experimental observations as well are also shown.
Third Eye for Blind Ultrasonic Vibration Gloves.pptxkayvyyyy
The concept of a “Third eye for Blind" typically refers to a wearable device that helps individuals who are visually impaired to navigate their surroundings more easily. One such device is an ultrasonic vibrator glove.
The document describes a proposed smart glove system to help visually impaired people navigate safely. The system uses ultrasonic sensors, a microcontroller, and vibratory feedback to alert users to obstacles in front of them. It integrates these components into a glove, allowing blind users to detect obstacles from 2cm to 300cm away through vibrations in the glove. The goal is to provide a convenient and safe way for blind people to have independent mobility and explore their environment.
1) The document outlines several activities exploring different sensors and the piezoelectric effect, including evading a motion detector, exploring sensors that detect sound and motion, making a microphone from PVDF film, and measuring the piezoelectric response of PVDF to pressure.
2) It then describes a design project to build a coin counter using a PVDF sensor to detect the mass of different coins based on the voltage response.
3) Finally, it proposes a future project using infrared sensors and light bulbs to automatically adjust the light intensity based on the number of people in an area, to help with crowd organization and energy savings.
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIREDIRJET Journal
This document describes a portable prototype called Drishti that aims to help visually impaired people navigate more easily. It uses ultrasonic sensors to detect nearby obstacles and notifies the user through vibrations. It also includes GPS and GSM modules to track the user's live location and send it to a caretaker via SMS. The goal is to provide a cheaper and more efficient alternative to traditional canes or guide dogs. It was designed to be worn like cloth and uses ultrasonic waves, vibrations and location tracking to help visually impaired people navigate with greater speed, comfort and confidence.
Design and Implementation of Ultrasonic Navigator for Visually ImpairedDr.SHANTHI K.G
The document describes the design and implementation of an ultrasonic navigator device to help visually impaired people navigate their environment. The device uses ultrasonic sensors to detect obstacles in the environment and servo motors mounted on a glove to provide haptic feedback to the user about the distance and direction of obstacles. It also includes a GPS system to provide navigation instructions to help users reach their destinations. The device aims to provide more information about obstacles than a traditional walking cane by detecting objects in multiple directions and at distances over 1 meter.
Generally dumb people use sign language for communication but they find difficulty in communicating with others who don’t understand sign language. This project aims to lower this barrier in communication. It is based on the need of developing an electronic device that can translate sign language into speech in order to make the communication take place between the mute communities with the general public possible. A Wireless data gloves is used which is normal cloth driving gloves fitted with flex sensors along the length of each finger and the thumb. Mute people can use the gloves to perform hand gesture and it will be converted into speech so that normal people can understand their expression. Sign language is the language used by mute people and it is a communication skill that uses gestures instead of sound to convey meaning simultaneously combining hand shapes, orientations and movement of the hands, arms or body and facial expressions to express fluidly a speaker’s thoughts. Signs are used to communicate words and sentences to audience.
This is my Portfolio which includes just a few of my favorite projects out of the 30+ that I have developed during my time in college. The portfolio exemplifies my product design, 3D design, product development, and medical device knowledge/skills.
This document discusses head-mounted displays (HMDs) for extended reality applications. It describes how HMDs can be used for virtual reality, augmented reality, and mixed reality experiences. Key points include:
- HMDs can track movement using inside-out tracking (sensors on the device) or outside-in tracking (external sensors). Inside-out is more portable but outside-in allows more precise tracking.
- For virtual reality, a headset fully immerses the user in a virtual environment. For augmented and mixed reality, headsets overlay digital images on the real world and have fields of view ranging from small to large.
- Popular HMD companies include Oculus, HTC V
This certificate from Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. certifies that a research paper titled "A Review on Virtual Dressing Room for E-Shopping using Augmented Reality" by Aleeza Shaikh, Prashant Shinde, Swapnil Chandra, Sandeep Singh, and Rubeena Khan was published in the International Journal of Soft Computing and Engineering in November 2014. The journal has an impact factor of 1.177. The certificate provides contact information for the journal.
This document is a project report submitted by three students - Ashwani Kumar, Ankit Raj, and Anand Abhishek - to Cochin University of Science & Technology in partial fulfillment of the requirements for a Bachelor of Technology degree in Information Technology. The report describes the development of a "Know Your Teacher" mobile application that uses ultrasonic sensors and an Arduino board to detect when a faculty member is present in their office and notify students via the mobile app in real-time. It details the hardware components used, including the ultrasonic sensor, Arduino Uno, piezoelectric buzzer, Arduino Wi-Fi 101, as well as the software specifications and coding implemented in Arduino IDE
Wearable technology incorporates computer and electronic technologies into clothing and accessories. It allows for portability, convenience, and health monitoring through sensors. Popular wearables discussed in the document include smart contact lenses that detect glucose levels, Google Glass that displays information hands-free, and fitness trackers like the LG Lifeband and Heartbeat earphones that monitor biometrics. While many wearables have issues to address, the field has significant potential to enhance human capabilities and blur boundaries between seeing and viewing.
The document summarizes several activities conducted by students to learn about smart sensors. It describes experiments with motion sensors, taking tours of different sensor types, making a microphone from PVDF, exploring the piezoelectric effect, measuring piezoelectric and pyroelectric responses, and designing a coin counter and smart blind glasses as final projects. The overall goal was to gain experience with smart sensors and how they can be used to make life easier.
This document summarizes Stephanie Tomasetta's 2014 design portfolio. It includes projects focused on designing for autonomous vehicles, 3D printed ski pole baskets, an injection molded bitcoin mining robot, ergonomic 4-arm crutches, a portable slit lamp for developing countries, a chevron cutting board, a pop-up hospital room light card, a polycarbonate pinata, a vinyl record carrying case, Spanish-inspired table accessories, and a walking hippogriff robot. The projects utilized various design and prototyping processes like 3D printing, CNC machining, laser cutting, molding, and linkage optimization.
The document discusses different types of interfaces including multimedia and wearable interfaces. Multimedia refers to content that uses a combination of text, audio, visual and interactive elements. Wearable technology involves electronic devices incorporated into items of clothing and accessories that can be worn on the body, examples include smartwatches, smart glasses and fitness trackers. The document then focuses on the Oculus Rift virtual reality headset and some research issues regarding extended use affecting health and requiring space.
The document outlines an activity plan for exploring various sensors and the piezoelectric effect. It includes 5 main activities: 1) evading a motion detector, 2) exploring smart sensors, 3) making a microphone, 4) exploring the piezoelectric effect through building a PVDF polymer, and 5) measuring piezoelectric and pyroelectric responses. It also describes a design project to build a coin counter using the piezoelectric properties of PVDF film.
Skinput is a bio-acoustic sensing technique that allows the body to be used as an input surface. Finger taps on the skin create acoustic waves that are detected by sensors in an armband. The armband classifies the finger taps by location on the arm, allowing the arm to control a device in real time. Research is ongoing to make the armband smaller and extend its capabilities to more devices while maintaining high accuracy. The technique was presented at the CHI 2010 conference and allows for intuitive control of devices through natural gestures on the skin.
This document summarizes a student project to create a digital navigation system for blind people as an alternative to a walking cane. The system uses an ultrasonic sensor and microcontroller to detect obstacles and a vibrating motor to provide distance feedback to the user. Initial testing showed the prototype could accurately measure distances and differentiate between distance intervals. However, users had difficulty distinguishing the intensity of vibrations corresponding to different distances. Further development is needed to improve the feedback mechanism so blind users can safely navigate independently.
Skinput is a technology that allows users to control mobile devices by tapping on their skin. It uses sensors to detect vibrations from taps and hand gestures on the body. Skinput turns the human body into a touch screen interface by using a combination of pico projectors and acoustic detectors to sense taps and project virtual buttons onto the skin. The system can accurately detect finger taps on different areas of the arm and hand even when the body is in motion. This novel input method provides accessibility and usability benefits over traditional device interfaces.
Wearable technology is developing rapidly and will see mainstream adoption in the next five years. It will help record our surroundings, nudge us to action, communicate information between people, control our environments, and reflect our well-being. Key drivers are the evolution of interfaces, sensors, algorithms and free communication across devices. Wearables can introduce technology into new environments and enable hands-free access to information for workers. Main applications areas are healthcare, fitness/activity tracking, and industrial uses. Challenges include uncomfortable designs, clunky interfaces, and reliable network connectivity.
Lorenzo Cordella Portfolio 2021_ Industrial Product Design Lorenzo Cordella
A compendium of some of the most relevant projects I did, together with some personal fast concepts.
Some of my projects are not in this portfolio due to confidentiality, but please feel free to ask me any questions you may have as I can be reached at lorenzocordella@yahoo.it or (+39) 333 911 8511. I appreciate you taking the time to review my qualifications.
Lorenzo Cordella Portfolio 2021_ Industrial Product Design
Air Eyes Report
1. AIR EYES
Syed Azaaz Ahmed
MS Industrial Design
A Smart Accessory for the Blind to Enhance Social Interaction
2. AIR EYES
A Smart Accessory for the Blind to Enhance Social Interaction
Air eyes is a fashionable smart accessory which
enables the blind to better sense the social
environment using a language of air pulses
through glasses.
3. Air System
Rigid tubing
AIR EYES
Design Features
Air Ports
Elastic tubing
To maintain sensor stability
Sensors
Detects the presence of people and
their movements
To enhance the ergonomics
4. What does Air Eyes do & how it answers the stigma of disability?
• Air Eyes would essentially provide the blind the ability to sense the social environment and assist in effective communication via body
language using a language of air pulses and provide the feel good factor.
• Getting bumped into someone with the many distractions around makes it quite embarrassing for the blind, providing the ability to
avoid such situations is a very powerful thing.
• How it answers the stigma of disability, by being a fashionable assistive device.
5. Stigma of the being projected as disabled in the new blind generation
• The younger generation with blindness wish to avoid using the cane and instead of being independent they prefer being dependent on
someone for guidance in their mobility challenges.
• The present generation of blind people dislike being projected as blind and like and wish to walk shoulder to shoulder with the sighted people.
Note: The idea is not to replace the cane
7. Development of the Design:
Initial Research:
A cortical homunculus is a physical representation of the human body, located within the brain. A cortical homunculus is a neurological "map" of the anatomical
divisions of the body. There are two types of cortical homunculus; sensory and motor.
The sensory homunculus validates the region around the eyes to be highly sensitive
8. Development of the Design
Testing location for the IR sensors-part1
Sharp GP2Y0A710K0F IR Range Sensor
-Large format: 58.0×17.6×22.5 mm
-Measuring distance range Min 100 to Max 550
cm
10. Development of the Design
Identifying other locations for the sensors and the form it could be developed into with testing it with Arduino
11. Development of the Design
Validating the iterations:
• Idea discarded, since it would prevent the blind from wearing other ornamental accessories
12. Development of the Design
More iterations and validation:
• Idea discarded, since wearable over the ear in a social environment would not be appropriate
• Head has high mobility, hence not appropriate for sensors to gather information effectively
13. Development of the Design
Setting the tubing for air around the region of the eyes and using air pumps to generate air pulses. The issue with the motorized
air pumps is the resonating sound it generates.
Motorized Air pump
-Working voltage: 1.25V~6V
-Dimensions: 1.81 in x 1.06 in x 0.47 in (4.6 cm x 2.7 cm x 1.2 cm)
Motorized Air pump System
-4 air pumps for 4 air ports with
potentiometers to
control the air pumps
14. Development of the Design
Created a harness for better stability of the sensors and to validate the suitability for the positioning of the sensors.
Wide Angle PIR motion sensor
-180˚ detection angle for widespread motion detection
-Typically detects people up to 30 ft away
Using PIR motion sensor to differentiate
people from objects, since objects are
stationary and people are not.
15. Development of the Design:
Validating the iterations:
• The uses of glasses to transmit air pulses presented itself to be the best to develop the language of air and also blends well with the norm
• The sensors on shoulder proved to provide more stability to the sensors to gather information effectively
16. Development of the Design
Design Version 1.0:
• For this version, the Air System on the upper back was not ergonomically appropriate for sitting on a chair.
18. Development of the Design:
Developing the Version 2.0:
The choice was metal (brass)
since I wanted to achieve jewelry
like sleekness and brass is also
much easier to work with and
can be soldered.
20. Development of the Design:
Developing the Version 2.0:
Highlighting air port location
21. Development of the Design:
Developing the Version 2.0:
Using high and low density Styrofoam
combination. Blue(low density), yellow
(high density)
22. Development of the Design:
Developing the Version 2.0:
Testing the ergonomics
23. Development of the Design:
Developing the Version 2.0:
Using Air wick automatic air freshener
mechanism for actuating the pumps.
24. Development of the Design:
Developing the Version 2.0:
PIR motion detector sensor with
Distance IR sensor for sensing
environment
Compressed air canister with
Arduino controller and actuators
25. Development of the Design:
Developing the Version 2.0 (Feminine style):
Metal rods inserted in foam to simulate
approximate proposed weight, about
500-600 gm
27. Development of the Design:
Usability testing at Overbrook school for the blind:
Received positive feedback concerning
the sensation of the air pulses and the
user felt positive about the form and
the concept
28. Development of the Design:
Usability testing at Overbrook school for the Blind:
30. Language of air:
Scene 2: Person at 3:00 clock
Scene 1: Person at 12:00 clock Scene 3: Person at 10:30
Single long pulse of air when standing
Pulsation rate increases when approaching
Pulsation rate decreases when moving away
Single long pulse of air when standing
Pulsation rate increases when approaching
Pulsation rate decreases when moving away
Single long pulse of air when standing
Pulsation rate increases when approaching
Pulsation rate decreases when moving away
Development of the Design:
31. Single long pulse of air when standing
Pulsation rate increases when approaching
Pulsation rate decreases when moving away
Person at 12:00 clock (perspective)
3 s
2 s
1 s
Development of the Design:
32. User scenarios:
Case 1: The blind person stationary and people around are
stationary and not talking.
Note: Stationary implies no change in position in space, but bodily gestures
could be present
Case 2: The blind person stationary and people around are
stationary and talking.
Case 3: The blind person stationary and people around are
moving and not talking with ambient noise.
Case 4: The blind person moving and people around are also
moving and talking with ambient noise.
Development of the Design:
33. Development of the Design:
Current tech concept:
The canister could be
given different form
38. Development of the Design:
Further development:
Thermal Imaging sensor to differentiate people from objects
Smaller distance IR sensors to measure the movement of
people
Compressed air system to
generate air pulses
Controller
39. Development of the Design:
Further development:
Use of mini
piezoelectric micro
pumps to reduce size
40. Tony Guido, University of the Arts, Head of Graduate School in Industrial Design
John Thomas ,orientation and mobility faculty (left) and Frank Irzyk, Director of Technology at the Overbrook School
for the Blind
Collaboration and Usability Testing
David Schiff, Director of Research and Development at Bresslergroup
41. Extension of Air Eyes to other disabilities along with Blindness
• Air Eyes can also assist people with Deafblindness
Texas school for the Blind and visually Impaired
• Air Eyes can also assist blind persons with condition such as Cerebral Palsy
Ronnie Rivera, with her mother Iris Rivera-Smith at left, was born legally blind, with club
feet and cerebral palsy. (Picture-The Wallstreet Journal)
42. Thanks
• Tod Corlett
• Hy Zelkowitz
• Mikael Avery
• Christina Kazakia
• Mike Leonard
• Peter Byar
• Frank Irzyk
• Stephanie Hays
• Zoe Mckinley
• Thomas Fung
• Thomas Hayes
• David Schiff
• Xin Qi
• Mehdi Abdollahzadeh
• Friends at the Overbrook School for the Blind