It's about laser virtual keyboard technology , Now day's the technology increases day by day but technology in input not developed but in this ppt all the explanation of laser keyboard have full details.
A virtual keyboard allows users to enter text on a touchscreen or with other input devices without a physical keyboard. It works by using a light source like a laser to project an image of a keyboard onto a surface. Sensors detect finger position and key presses, which are sent to processing software to register key inputs. Virtual keyboards offer portability over physical keyboards but have less battery life and depend on surface quality. They may use different projection technologies in the future to overcome current limitations.
It is a power point presentation on a new technology call virtual keyboard. It simulates the job of a keyboard and allows users to communicate with different devices. This presentation also consist the working mechanism of the projection based virtual keyboard.
The document discusses virtual keyboards, which project a full-sized keyboard onto any flat surface using infrared and laser sensors. A virtual keyboard works by projecting a keyboard template, illuminating the surface with infrared light, and using sensors to detect finger positions and translate them into keystrokes. Virtual keyboards offer advantages like taking up less space and allowing typing on any surface, though they can be more expensive and require practice to type in thin air. Examples of virtual keyboard products are provided.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
This document presents a virtual mouse system that uses computer vision and hand gesture recognition to control the mouse cursor and perform mouse tasks. The system aims to provide a more natural and convenient way to control the computer without requiring physical mouse hardware. It uses a webcam to detect colored fingertips and track hand movements in real-time. Image processing algorithms are employed for tasks like segmentation, denoising, finding the hand center and size, and detecting individual fingertips. Detected gestures are then mapped to mouse functions like cursor movement, left/right clicks, and scrolling. The document outlines the goals, design approach, and implementation details of the system, as well as advantages, limitations, and directions for future work.
This document discusses virtual keyboards, which project a keyboard interface onto any flat surface that can be typed on using finger motions detected by sensors. It describes how virtual keyboards work using infrared light and sensors to detect finger positions and translate them to keystrokes. The document outlines the components of virtual keyboards like the sensor module, infrared light source, and pattern projector. It also discusses advantages like portability and flexibility, as well as drawbacks like cost and difficulty of use. Virtual keyboards aim to provide full keyboard functionality without the physical constraints of real keyboards.
project presentation on mouse simulation using finger tip detection Sumit Varshney
This project presentation describes a virtual mouse interface using finger tip detection. A group of 3 students will design a vision-based mouse that detects hand gestures to control cursor movement and clicks instead of using a physical mouse. The system will use a webcam to capture finger tip motion and apply image processing algorithms like segmentation, denoising, and convex hull analysis to identify gestures and control mouse functions accordingly. The goal is to allow gesture-based computer interaction for applications like presentations to reduce workspace needs.
A virtual keyboard allows users to enter text on a touchscreen or with other input devices without a physical keyboard. It works by using a light source like a laser to project an image of a keyboard onto a surface. Sensors detect finger position and key presses, which are sent to processing software to register key inputs. Virtual keyboards offer portability over physical keyboards but have less battery life and depend on surface quality. They may use different projection technologies in the future to overcome current limitations.
It is a power point presentation on a new technology call virtual keyboard. It simulates the job of a keyboard and allows users to communicate with different devices. This presentation also consist the working mechanism of the projection based virtual keyboard.
The document discusses virtual keyboards, which project a full-sized keyboard onto any flat surface using infrared and laser sensors. A virtual keyboard works by projecting a keyboard template, illuminating the surface with infrared light, and using sensors to detect finger positions and translate them into keystrokes. Virtual keyboards offer advantages like taking up less space and allowing typing on any surface, though they can be more expensive and require practice to type in thin air. Examples of virtual keyboard products are provided.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
This document presents a virtual mouse system that uses computer vision and hand gesture recognition to control the mouse cursor and perform mouse tasks. The system aims to provide a more natural and convenient way to control the computer without requiring physical mouse hardware. It uses a webcam to detect colored fingertips and track hand movements in real-time. Image processing algorithms are employed for tasks like segmentation, denoising, finding the hand center and size, and detecting individual fingertips. Detected gestures are then mapped to mouse functions like cursor movement, left/right clicks, and scrolling. The document outlines the goals, design approach, and implementation details of the system, as well as advantages, limitations, and directions for future work.
This document discusses virtual keyboards, which project a keyboard interface onto any flat surface that can be typed on using finger motions detected by sensors. It describes how virtual keyboards work using infrared light and sensors to detect finger positions and translate them to keystrokes. The document outlines the components of virtual keyboards like the sensor module, infrared light source, and pattern projector. It also discusses advantages like portability and flexibility, as well as drawbacks like cost and difficulty of use. Virtual keyboards aim to provide full keyboard functionality without the physical constraints of real keyboards.
project presentation on mouse simulation using finger tip detection Sumit Varshney
This project presentation describes a virtual mouse interface using finger tip detection. A group of 3 students will design a vision-based mouse that detects hand gestures to control cursor movement and clicks instead of using a physical mouse. The system will use a webcam to capture finger tip motion and apply image processing algorithms like segmentation, denoising, and convex hull analysis to identify gestures and control mouse functions accordingly. The goal is to allow gesture-based computer interaction for applications like presentations to reduce workspace needs.
SmartQuill is a digital pen invented by Anthropic that uses accelerometer technology to recognize handwritten notes and transcribe them. It stores up to 10 pages of notes internally and can transfer the notes to a PC. The pen allows users to take notes, send emails, keep a digital diary, and record voice memos. While portable and convenient, it has some disadvantages like potential accelerometer errors, larger size than a normal pen, and limited storage capacity.
The document introduces virtual keyboards, which use sensor technology and artificial intelligence to allow users to type on any surface like a regular keyboard. Virtual keyboards project a keyboard image that users can type on, and the software recognizes the keys. They are compact and allow typing anywhere, but require practice and are more expensive than traditional keyboards. Virtual keyboards may be used with smartphones, PDAs, games and as TV remotes.
Gestures are an important form of non-verbal communication between humans and can also be used to create interfaces between humans and machines. There are several types of gestures including emblems, sign languages, gesticulation and pantomimes. Gesture recognition allows humans to interact with computers through motions of the body, especially hand movements. Some methods of gesture recognition include device-based techniques using sensors on gloves, vision-based techniques using cameras, and controller-based techniques using motion controllers. Gesture recognition has applications in areas such as virtual controllers, sign language translation, game interaction and robotic assistance.
The document describes a finger-worn device called the FingerReader that assists visually impaired users in reading printed text. The FingerReader uses a small camera mounted on a 3D printed ring to scan and track text lines. It provides tactile and auditory feedback to help users smoothly track lines of text. The device aims to give visually impaired people more independence and access to printed materials than existing assistive technologies.
The document discusses research into developing computers with human-like perceptual abilities through technologies like Blue Eyes. Blue Eyes uses sensors and computer vision to identify user actions and understand their physical and emotional states. It describes systems that use eye tracking, facial expression recognition, and physiological sensors to detect emotions. Applications discussed include speech recognition, visual attention monitoring, and developing interfaces that are more natural and reduce user fatigue.
2016 Project.
A finger wore device helpful for blind people.
Used to know the color and currency and etc.,
Prepared by Ch.Durga Rao, Naidu.S.Piyadarshini.
This document describes a smart note taker pen that can write in air and store the written information in an onboard memory chip. It uses accelerometer technology to detect the motions of handwriting and transmits this data to a microprocessor. The pen has features like being highly portable, recognizing multiple languages, and having expandable memory. It allows users to take notes by writing in air that can then be uploaded and edited on a computer. While advantageous for its portability and assistance for blind users, smart note takers can be costly. The system aims to improve note taking by converting handwriting in air into editable text formats on a PC.
Blue Eyes technology aims to create machines that have human-like perceptual and sensory abilities. It uses cameras and microphones to identify user actions and emotions. The technology is being developed by researchers at Poznan University of Technology and Microsoft to build machines that can understand emotions, listen, talk, verify identity, and interact naturally with humans. Some applications include using eye tracking to improve pointing and selection, speech recognition to control devices with voice commands, and monitoring user focus and interests to provide relevant information on screens.
This document discusses Blue Eyes technology, which aims to give computational machines human-like perceptual and sensory abilities. It does this using cameras, microphones, and sensors to identify user actions, emotions, and identity. The technologies discussed that enable this include Emotion Mouse, MAGIC pointing, speech recognition, and SUITOR. Blue Eyes technology has applications in retail, automobiles, gaming, and interactive displays, and could help prevent car accidents by understanding drivers.
The document describes a smart quill, an intelligent pen invented by Lyndsay Williams that can digitize handwritten notes. It works by using an accelerometer and microprocessor to record the pen's movements as it writes and translate that into computer text. The smart quill is larger than a normal pen and contains components like an LCD, battery, and buttons to allow notes taken with it to be viewed, edited, or transferred to a computer for storage and sharing. Unlike a digital pen, the smart quill does not require a special notepad to function and can recognize handwriting on any flat surface.
The Blue Eyes technology aims to create computational machines that have human-like perceptual and sensory abilities. It uses technologies like the Emotion Mouse, artificial intelligent speech recognition, and an eye movement sensor to understand human emotions, listen, talk, and interact. The main components are the data acquisition unit (DAU) and central system unit (CSU). The DAU collects physiological sensor data and sends it wirelessly to the CSU for analysis in real-time. The CSU also provides data visualization. Potential applications include surveillance systems, automobiles, video games, and control rooms. The goal of Blue Eyes technology is to simplify human-computer interaction through sight and sound.
The document discusses hand gesture recognition. It defines what gestures are and how gesture recognition works by interpreting human gestures through mathematical algorithms. This allows humans to interact with machines naturally without devices. Examples of applications include controlling a smart TV with hand movements and using gestures for gaming. The document outlines the hardware and software needed for gesture recognition, including a webcam, processor, RAM, and operating system. It also provides an overview of the module structure involved in identifying and applying gestures as inputs.
This document describes a 5 pen pc technology called P-ISM. P-ISM consists of 5 functions: a CPU pen, camera, virtual keyboard, visual output, and cellular phone. It uses various wireless technologies like Bluetooth and WiFi to connect multiple pens together and to the internet. The pens allow users to project a keyboard and monitor onto any flat surface and use it like a portable computer. While portable and allowing ubiquitous computing, challenges remain regarding its cost, battery life, and keyboard design.
Blue eyes- The perfect presentation for a technical seminarkajol agarwal
The technology that gifts you with a friend, a right choice for people who are lazy , a technology that caters to help all age groups and helps to share your emotions and feelings with your computer. Computer with human power!
The document summarizes a seminar on Blue Eye technology presented by Bhupesh Lahare. Blue Eye technology aims to create computers that can interact with users through eye movements, facial expressions, and speech like humans. It discusses how the Blue Eyes system works using data acquisition and central system units to obtain physiological data from sensors. Different techniques used in Blue Eye technology are also summarized such as Emotion Mouse, MAGIC pointing, speech recognition, and SUITOR for tracking user interests. Examples of Blue Eye enabled devices include pod cars, pong robots, emotional iPods, and smart phones. The document concludes that future devices may be operated through eye contact and voice commands.
The SmartQuill is a pen prototype invented by Lyndsay Williams that can digitize handwritten notes. It contains sensors that can recognize handwriting on any surface, as well as an ink cartridge to write on paper. Notes are stored locally on the pen's hard drive and can be uploaded to a computer. The pen uses accelerometers and handwriting recognition software to digitize writing into text files, allowing notes to be edited and shared digitally.
Blue Eyes is an artificial intelligence application that uses eye tracking technology to enable computer interaction for people who cannot use their hands. It analyzes eye movements and facial expressions to determine a user's emotions and interests in order to build a personalized user model. Some potential uses of Blue Eyes include an "Emotion Mouse" that tracks physiological data to determine a user's emotional state, gaze input for navigation, speech recognition, tracking user interests over time, and sensors to detect eye movements for computer control. The goal is to create machines with human-like perceptual abilities to allow for more natural human-computer partnership.
The document discusses a smart note taker product that allows users to write notes in the air that are then digitally stored. It works by using a digital pen connected to a processor that senses hand motions and shapes using a database to recognize words. Notes can then be viewed on a display, shared digitally, or printed. Current products mentioned include mobile note takers that work with smartphones and PC note takers that capture and display writing in real time on a computer. Advantages include assistance for blind users and note-taking during phone calls or presentations.
S P Rohit presented a seminar on virtual keyboard technology. The seminar discussed how a virtual keyboard works using sensor technology and optical detection to track finger movements and project a keyboard interface onto any surface. It described the modules of a virtual keyboard including sensors, infrared light source, and pattern projector. Advantages include portability, accuracy, and avoiding repetitive strain injuries. Drawbacks include higher costs and needing adequate lighting. Virtual keyboards can be used with smartphones, PDAs, and in industrial and gaming applications.
The document discusses virtual keyboards, which project a keyboard onto any surface that can be typed on. It describes the components of a virtual keyboard system, including a pattern projector, IR light source, and sensor module. Virtual keyboards allow users to type on small devices like phones or wearable computers. While costly and requiring practice, virtual keyboards are portable and can benefit injured users. They are used in industrial, smartphone, computer and gaming applications.
SmartQuill is a digital pen invented by Anthropic that uses accelerometer technology to recognize handwritten notes and transcribe them. It stores up to 10 pages of notes internally and can transfer the notes to a PC. The pen allows users to take notes, send emails, keep a digital diary, and record voice memos. While portable and convenient, it has some disadvantages like potential accelerometer errors, larger size than a normal pen, and limited storage capacity.
The document introduces virtual keyboards, which use sensor technology and artificial intelligence to allow users to type on any surface like a regular keyboard. Virtual keyboards project a keyboard image that users can type on, and the software recognizes the keys. They are compact and allow typing anywhere, but require practice and are more expensive than traditional keyboards. Virtual keyboards may be used with smartphones, PDAs, games and as TV remotes.
Gestures are an important form of non-verbal communication between humans and can also be used to create interfaces between humans and machines. There are several types of gestures including emblems, sign languages, gesticulation and pantomimes. Gesture recognition allows humans to interact with computers through motions of the body, especially hand movements. Some methods of gesture recognition include device-based techniques using sensors on gloves, vision-based techniques using cameras, and controller-based techniques using motion controllers. Gesture recognition has applications in areas such as virtual controllers, sign language translation, game interaction and robotic assistance.
The document describes a finger-worn device called the FingerReader that assists visually impaired users in reading printed text. The FingerReader uses a small camera mounted on a 3D printed ring to scan and track text lines. It provides tactile and auditory feedback to help users smoothly track lines of text. The device aims to give visually impaired people more independence and access to printed materials than existing assistive technologies.
The document discusses research into developing computers with human-like perceptual abilities through technologies like Blue Eyes. Blue Eyes uses sensors and computer vision to identify user actions and understand their physical and emotional states. It describes systems that use eye tracking, facial expression recognition, and physiological sensors to detect emotions. Applications discussed include speech recognition, visual attention monitoring, and developing interfaces that are more natural and reduce user fatigue.
2016 Project.
A finger wore device helpful for blind people.
Used to know the color and currency and etc.,
Prepared by Ch.Durga Rao, Naidu.S.Piyadarshini.
This document describes a smart note taker pen that can write in air and store the written information in an onboard memory chip. It uses accelerometer technology to detect the motions of handwriting and transmits this data to a microprocessor. The pen has features like being highly portable, recognizing multiple languages, and having expandable memory. It allows users to take notes by writing in air that can then be uploaded and edited on a computer. While advantageous for its portability and assistance for blind users, smart note takers can be costly. The system aims to improve note taking by converting handwriting in air into editable text formats on a PC.
Blue Eyes technology aims to create machines that have human-like perceptual and sensory abilities. It uses cameras and microphones to identify user actions and emotions. The technology is being developed by researchers at Poznan University of Technology and Microsoft to build machines that can understand emotions, listen, talk, verify identity, and interact naturally with humans. Some applications include using eye tracking to improve pointing and selection, speech recognition to control devices with voice commands, and monitoring user focus and interests to provide relevant information on screens.
This document discusses Blue Eyes technology, which aims to give computational machines human-like perceptual and sensory abilities. It does this using cameras, microphones, and sensors to identify user actions, emotions, and identity. The technologies discussed that enable this include Emotion Mouse, MAGIC pointing, speech recognition, and SUITOR. Blue Eyes technology has applications in retail, automobiles, gaming, and interactive displays, and could help prevent car accidents by understanding drivers.
The document describes a smart quill, an intelligent pen invented by Lyndsay Williams that can digitize handwritten notes. It works by using an accelerometer and microprocessor to record the pen's movements as it writes and translate that into computer text. The smart quill is larger than a normal pen and contains components like an LCD, battery, and buttons to allow notes taken with it to be viewed, edited, or transferred to a computer for storage and sharing. Unlike a digital pen, the smart quill does not require a special notepad to function and can recognize handwriting on any flat surface.
The Blue Eyes technology aims to create computational machines that have human-like perceptual and sensory abilities. It uses technologies like the Emotion Mouse, artificial intelligent speech recognition, and an eye movement sensor to understand human emotions, listen, talk, and interact. The main components are the data acquisition unit (DAU) and central system unit (CSU). The DAU collects physiological sensor data and sends it wirelessly to the CSU for analysis in real-time. The CSU also provides data visualization. Potential applications include surveillance systems, automobiles, video games, and control rooms. The goal of Blue Eyes technology is to simplify human-computer interaction through sight and sound.
The document discusses hand gesture recognition. It defines what gestures are and how gesture recognition works by interpreting human gestures through mathematical algorithms. This allows humans to interact with machines naturally without devices. Examples of applications include controlling a smart TV with hand movements and using gestures for gaming. The document outlines the hardware and software needed for gesture recognition, including a webcam, processor, RAM, and operating system. It also provides an overview of the module structure involved in identifying and applying gestures as inputs.
This document describes a 5 pen pc technology called P-ISM. P-ISM consists of 5 functions: a CPU pen, camera, virtual keyboard, visual output, and cellular phone. It uses various wireless technologies like Bluetooth and WiFi to connect multiple pens together and to the internet. The pens allow users to project a keyboard and monitor onto any flat surface and use it like a portable computer. While portable and allowing ubiquitous computing, challenges remain regarding its cost, battery life, and keyboard design.
Blue eyes- The perfect presentation for a technical seminarkajol agarwal
The technology that gifts you with a friend, a right choice for people who are lazy , a technology that caters to help all age groups and helps to share your emotions and feelings with your computer. Computer with human power!
The document summarizes a seminar on Blue Eye technology presented by Bhupesh Lahare. Blue Eye technology aims to create computers that can interact with users through eye movements, facial expressions, and speech like humans. It discusses how the Blue Eyes system works using data acquisition and central system units to obtain physiological data from sensors. Different techniques used in Blue Eye technology are also summarized such as Emotion Mouse, MAGIC pointing, speech recognition, and SUITOR for tracking user interests. Examples of Blue Eye enabled devices include pod cars, pong robots, emotional iPods, and smart phones. The document concludes that future devices may be operated through eye contact and voice commands.
The SmartQuill is a pen prototype invented by Lyndsay Williams that can digitize handwritten notes. It contains sensors that can recognize handwriting on any surface, as well as an ink cartridge to write on paper. Notes are stored locally on the pen's hard drive and can be uploaded to a computer. The pen uses accelerometers and handwriting recognition software to digitize writing into text files, allowing notes to be edited and shared digitally.
Blue Eyes is an artificial intelligence application that uses eye tracking technology to enable computer interaction for people who cannot use their hands. It analyzes eye movements and facial expressions to determine a user's emotions and interests in order to build a personalized user model. Some potential uses of Blue Eyes include an "Emotion Mouse" that tracks physiological data to determine a user's emotional state, gaze input for navigation, speech recognition, tracking user interests over time, and sensors to detect eye movements for computer control. The goal is to create machines with human-like perceptual abilities to allow for more natural human-computer partnership.
The document discusses a smart note taker product that allows users to write notes in the air that are then digitally stored. It works by using a digital pen connected to a processor that senses hand motions and shapes using a database to recognize words. Notes can then be viewed on a display, shared digitally, or printed. Current products mentioned include mobile note takers that work with smartphones and PC note takers that capture and display writing in real time on a computer. Advantages include assistance for blind users and note-taking during phone calls or presentations.
S P Rohit presented a seminar on virtual keyboard technology. The seminar discussed how a virtual keyboard works using sensor technology and optical detection to track finger movements and project a keyboard interface onto any surface. It described the modules of a virtual keyboard including sensors, infrared light source, and pattern projector. Advantages include portability, accuracy, and avoiding repetitive strain injuries. Drawbacks include higher costs and needing adequate lighting. Virtual keyboards can be used with smartphones, PDAs, and in industrial and gaming applications.
The document discusses virtual keyboards, which project a keyboard onto any surface that can be typed on. It describes the components of a virtual keyboard system, including a pattern projector, IR light source, and sensor module. Virtual keyboards allow users to type on small devices like phones or wearable computers. While costly and requiring practice, virtual keyboards are portable and can benefit injured users. They are used in industrial, smartphone, computer and gaming applications.
This document presents information on virtual keyboard technology. It discusses how a virtual keyboard works using camera tracking of finger movements rather than physical keys. The key components are an infrared light source, sensor module, and pattern projector. It provides advantages like portability and not needing a flat surface, though drawbacks include higher costs and needing practice. Virtual keyboards can be used with devices like phones and as an input for computers and games.
ABSTRACT: Now a Days computing is not constraint to desktops and laptops, it has got its way into mobile devices like mobile phones. But the input device for the computing process has not been modified from the last few years. Eg:- QWERTY keyboard. Virtual Keyboard allows users to work on any surfaces by using sensor technology.Our device will have three main partsi.e the camera, IR sensor, lazer pattern projector. The Virtual Keyboard uses light to project a full-sized computer keyboard onto almost any surface, and disappears when not in use. Used with Smartphone and PDAs, the keyboard provides a practical way to do email, word processing and spreadsheet tasks, allowing the user to leave the laptop computer at home.
A virtual keyboard allows users to enter text on a touchscreen or with other input devices without a physical keyboard. It works by using a light source like a laser to project an image of a keyboard onto a surface. Sensors detect finger position and key presses, which are sent to processing software to register key inputs. Virtual keyboards offer portability over physical keyboards but have less battery life and depend on surface quality. They may use alternative keyboard layouts and enable flexible text entry without a fixed space.
The document discusses virtual keyboard technology. A virtual keyboard uses sensor technology and artificial intelligence to project a keyboard image onto any flat surface and track finger movements to input text. It has advantages like portability and flexibility. The document outlines the components of a virtual keyboard system including sensors, infrared light sources, and pattern projectors. Different types are described along with their uses, advantages like noise reduction, and disadvantages like lack of tactile feedback. Future applications are seen in devices like ATMs and spacecraft.
Human: Thank you for the summary. You captured the key points effectively in 3 concise sentences.
The document discusses a virtual keyboard, which uses sensor technology and artificial intelligence to project a keyboard interface onto any surface. It can detect finger movements to register key presses without needing a physical keyboard. The virtual keyboard consists of a sensor module to track finger positions, an infrared light source, and a pattern projector to display the keyboard interface. It offers portability and flexibility compared to physical keyboards but lacks tactile feedback.
This document discusses virtual keyboards as an alternative input method for small devices. A virtual keyboard uses a laser projection system to project the image of a keyboard onto any flat surface. It allows users to type by touching the projected keys, which are detected by an infrared sensor. The document describes the components of a virtual keyboard system including infrared sensors, lasers, and projectors. Advantages include portability and flexibility, while disadvantages include poor battery life and dependence on surface type. Virtual keyboards aim to provide full keyboard typing on small devices.
This document discusses virtual keyboards as an alternative input method for small devices. A virtual keyboard uses a laser projection system to project the image of a keyboard onto any flat surface. It allows touch-typing without the need for physical keys. The system works by using infrared sensors to detect finger positions and track keystrokes on the projected keyboard interface. While offering portability and flexibility over physical keyboards, virtual keyboards also have disadvantages like poor battery life and video quality issues. The document explores the technology and components of virtual keyboard systems.
Virtual keyboard
A virtual keyboard is a software component that allows a user to enter characters.[1] A virtual keyboard can usually be operated with multiple input devices, which may include a touchscreen, an actual computer keyboard and a computer mouse.
An optical virtual keyboard was invented and patented by IBM engineers in 2008.[6] It optically detects and analyses human hand and finger motions and interprets them as operations on a physically non-existent input device like a surface having painted keys. In that way it allows to emulate unlimited types of manually operated input devices such as a mouse or keyboard. All mechanical input units can be replaced by such virtual devices, optimized for the current application and for the user's physiology maintaining speed, simplicity and unambiguity of manual data input.
The document discusses a virtual laser keyboard technology that projects a keyboard interface onto any flat surface using laser projection. It works by using an infrared light source and sensor module to track finger movements over the projected keys and translate them into keystrokes. The system consists of a 3D camera, infrared light source, and pattern projector. When a user presses a key on the projected keyboard, the infrared layer detects the interruption which is recognized in 3D by the sensor and assigned to a keyboard character coordinate. This innovative projection keyboard technology enables interaction with devices using electronic perception that can see finger movements in 3D.
Virtual Keyboard (VKB) is a touch typing device that uses sensor technology and AI to project a keyboard onto any surface allowing users to type without a physical keyboard. It uses infrared cameras to track finger movements and recognize keystrokes, supporting multilingual keyboards. VKB systems comprise an infrared sensor module to detect finger positions, an IR light source, and a pattern projector to display the keyboard image. VKB provides full keyboard input for small devices like phones and allows typing in environments where noise needs to be minimized. However, VKB can be difficult to learn to use and may not work well in bright lighting.
The document discusses virtual keyboards, which use laser and sensor technology to project a keyboard interface onto any surface. A virtual keyboard consists of a sensor module to track finger movements, an infrared light source to project the keyboard image, and a pattern projector to display the standard QWERTY keyboard layout. Virtual keyboards offer portability by allowing users to type on any flat surface, but lack the tactile feedback of a physical keyboard.
Virtual Numeric Keyboard for mobile devices using Echo Sound Techniquehatshalahire9
This document proposes a virtual numeric keyboard for mobile devices using echo sound techniques. Sensors would detect finger positions over a projected virtual keyboard and send data to a microcontroller via Bluetooth. The microcontroller would compare sensor data to predefined key positions and types. An Android app would display the corresponding key on the mobile screen. Formulas are provided to calculate distance from ultrasonic sensor data. The technique aims to enable virtual typing with low implementation costs and no harm to users.
This document summarizes a survey on detecting hand gestures to be used as input for computer interactions. The introduction discusses how graphical user interfaces are being upgraded to provide more efficient visual interfaces using touchscreen technologies. However, these technologies are still too expensive for laptops and desktops. The paper then proposes developing a virtual mouse system using a webcam to capture hand movements and perform mouse functions like left and right clicks. The methodology section outlines the key steps of the proposed system which includes skin detection, contour extraction from images, and mapping detected hand gestures to cursor movements and controls. Finally, the conclusion discusses the goal of making this technology cheaper and more accessible to use as a standard input device without additional hardware requirements.
P-ISM was first featured at the 2003 ITU Telecom world held in Geneva, Switzerland
The P-ISM system was based on "low-cost electronic perception technology" produced by the San Jose, California, firm of Canesta
The document describes a conceptual prototype called the P-ISM (Pen-style Personal Networking Gadget Package) created by NEC Corporation in 2003. The P-ISM consists of 5 pens that each have unique functions: a CPU pen, communication pen, virtual keyboard, LED projector, and digital camera. Together these pens can create a virtual computing experience by producing a monitor and keyboard on any flat surface. The pens connect to each other and the internet via short-range wireless technology like Bluetooth. While only a prototype, the P-ISM concept showed how a full computer could be created using different pen-based components.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Virtualkeyboard ajay
1. Presented By:-
Mr. Ajaysingh G. Rajendrakar
Seminar on Virtual Keyboard Technology
Department of Computer Science & Engineering
Shri Sant Gajanan Maharaj College of Engineering, Shegaon,
Dist- Buldhana – 444 203 (Maharashtra)
2017-18
3. Introduction
A virtual keyboard is actually a key-in device, roughly a size of a fountain pen
& which uses highly advanced laser technology.
In a virtual keyboard, camera tracks the finger movements of the typist to get
the correct keystroke.
The main features are: platform independent multilingual support for
keyboard text input, built-in language layout and setting, copy/paste etc.
4. Virtual keyboard
Virtual Keyboard is just another example of today’s computer trend of
"smaller and faster“.
Virtual Keyboard uses sensor technology and artificial intelligence to let
users work on any surface as if it were a keyboard.
The keyboard is projected optically on a flat surface and, as the user
touches the image of a key, the optical device detects the stroke and sends
it to the computer.
5. Modules of Virtual Keyboard
The Virtual Keyboard system comprises of three modules:-
The sensor module
IR-light source
The pattern projector
6. Sensor module:
The Sensor Module serves as the eyes of
the Keyboard Perception technology .
The Sensor Module operates by locating
the user's fingers in 3-D space and tracking
the intended keystrokes.
Keystroke information processes and can
then be output to host devices.
7. IR Light source :
The Infrared Light Source emits a beam of
infrared light .
This light beam is designed to overlap the
area on which the keyboard pattern projector
or printed image resides.
This helps in recognizing the hand
movements and the pressing of keys .
8. Pattern projector:
The Pattern Projector or optional printed image presents the image of the
keyboard
This image can be projected on any flat surface.
The projected image is that of a standard QWERTY keyboard, with all the
keys and control functions as in the keyboard.
10. Advantages
Portability
Accuracy
Speed of text entry
Lack of need for flat or large typing surface
Ability to minimize the risk for repetitive strain injuries.
No driver software necessary, It can be used as a plug and play device.
11. Drawbacks
It is very costly.
The room in which the virtual keyboard is used should not be very bright so
that the keyboard is properly visible.
Virtual keyboard is hard to get used to. Since it involves typing in thin air, it
requires a little practice. Only people who are good at typing can use a
virtual keyboard efficiently.
12. Applications
High-tech and industrial Sectors.
Used with Smart phones, PDAs, email, word processing and spreadsheet
tasks.
As computer/PDA input.
Gaming control.
13. Conclusion
A Virtual keyboard system based on a true-3D optical range camera.
It is also used in 6th Sense Technology Device in which it is not depends on
surface. The feedback text and/or graphics may be integrated with such
projector, thus enabling truly virtual working area.
Thus virtual keyboards will make typing easier, faster, and almost a pleasure.
14. References
1] A. Erdem, E. Yardimci, Y. Atalay, V. Cetin, A. E., “Computer vision
based mouse”, IEEE proceedings of International Conference on
Acoustics, Speech, and Signal Processing (ICASS), 2000.
2] Chu-Feng Lien, “Portable Vision-Based HCI – A Real-time Hand
Mouse System on Handheld Devices”, National Taiwan University,
Computer Science and Information Engineering Department.
3] Hojoon Park, “A Method For Controlling The MouseMovement using a
Real Time Camera”, 2008, Brown University,Providence ,RI ,USA,
Department of computer science.