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Wi-Vi is a technology that modifies Wi-Fi signals to allow wireless vision through walls. It works by transmitting two low-power Wi-Fi signals from different antennas, one an inverse of the other, and detecting the interference patterns of the reflected signals. This allows it to detect moving objects behind walls by filtering out static reflections. While it can identify simple gestures and movements, Wi-Vi has low resolution and limitations detecting objects behind thick concrete walls. However, it has advantages of using existing Wi-Fi bandwidth and not requiring devices on the other side of walls.
This document discusses Wi-Vi, a technology that uses Wi-Fi signals to detect and track humans behind walls. Wi-Vi works by transmitting signals that reflect off walls and humans. It overcomes issues caused by wall reflections using MIMO nulling to identify human movements, shown as curved lines. Wi-Vi applications include law enforcement, emergencies, and personal security. While it provides low-cost detection with no connectors, resolution is low and range is short.
This document describes WIVI (Wireless Identification and Virtual Imaging) technology. WIVI uses WiFi signals to detect and track moving objects like humans behind walls. It was invented at MIT and works by transmitting WiFi signals that reflect off objects and analyzing the reflections to identify movement. WIVI consists of WiFi transmitters and receivers and can determine the number of humans in a room, their locations, and even simple gestures behind walls. However, its resolution is lower than cameras and thicker walls limit its range. Potential applications include security, emergency response, and smart home assistance.
This document discusses Wi-Vi technology, which uses Wi-Fi signals to detect and track moving humans behind walls. It faces challenges like distinguishing reflections from walls versus objects. Methods are used like interference nulling to cancel wall reflections while boosting signals from moving objects. Wi-Vi works by transmitting signals that interfere and null out static reflections, while reflections from moving humans are tracked over time using inverse synthetic aperture radar. Potential applications include security, emergency response, and gaming. Future work aims to improve resolution and detect objects behind thicker barriers over longer ranges.
Seeing through walls using Wireless Vision Technology. Wi-Fi signals are typically information carriers between a transmitter
and a receiver. In this paper, we show that Wi-Fi can also
extend our senses, enabling us to see moving objects through walls and behind closed doors.
Wi-VI is a technology developed by researchers at MIT that uses Wi-Fi signals to track moving objects behind walls. It uses two transmitting antennas that emit inverse signals and a single receiver. Reflections from static objects cancel out, while reflections from moving objects like people are detected. As a person moves, changes in the reflected signal's time of arrival allow their location to be calculated. Potential applications include incorporating it into smartphones for through-wall motion sensing and monitoring situations in places like hospitals. It provides a basic perspective on movement with relatively low resolution compared to cameras but can still trace simple gestures.
This document discusses Wi-Vi technology, which uses low-power Wi-Fi signals to detect moving objects like humans behind walls. It works by transmitting two signals that interfere with each other, so that reflections from static objects cancel out, while reflections from moving objects are detected. Potential applications include security, search and rescue, and gesture interfaces. While resolution is currently low, Wi-Vi has advantages of using existing Wi-Fi frequencies and not requiring devices on the other side of walls. Future development could integrate it into smartphones for through-wall detection and imaging capabilities.
Want similar presentation ideas? Interact and follow me in Quora : https://www.quora.com/profile/Liju-Thomas-13 or
Connect with me through Facebook : http://www.facebook.com
/lijuthomas24
Researchers have always tried to build a device capable of seeing people through walls. However, previous efforts to develop such a system have involved the use of expensive and bulky radar technology that uses a part of the electromagnetic spectrum only available to the military. Now a system is being developed by Dina Katabi and Fadel Adib, could give all of us the ability to spot people in different rooms using low-cost Wi-Fi technology. The device is low-power, portable and simple enough for anyone to use, to give people the ability to see through walls and closed doors. The system, called “Wi-Vi,” stands for "Wi-Fi" and "vision." is based on a concept similar to radar and sonar imaging. But in contrast to radar and sonar, it transmits a low-power Wi-Fi signal and uses its reflections to track moving humans. It can do so even if the humans are in closed rooms or hiding behind a wall.
Simple definition for Wi-Vi is, as a Wi-Fi signal is transmitted at a wall, a portion of the signal penetrates through it, reflecting off any humans on the other side. However, only a tiny fraction of the signal makes it through to the other room, with the rest being reflected by the wall, or by other objects. Wi-Vi cancels out all these other reflections, and keeps only those from the moving human body. Previous work demonstrated that the subtle reflections of wireless inter signals bouncing off a human could be used to track that person's movements, but those previous experiments either required that a wireless router was already in the room of the person being tracked. Wi-Fi signals and recent advances in MIMO communications are used to build a device that can capture the motion of humans behind a wall and in closed rooms. Law enforcement personnel can use the device to avoid walking into an ambush, and minimize casualties in standoffs and hostage situations. Emergency responders can use it to see through rubble and collapsed structures. Ordinary users can leverage the device for gaming, intrusion detection, privacy-enhanced monitoring of children and elderly, or personal security when stepping into dark alleys and unknown places.
The concept underlying seeing through opaque obstacles is similar to radar and sonar imaging. Specifically, when faced with a non-metallic wall, a fraction of the RF signal would traverse the wall, reflect off objects and humans, and come back imprinted with a signature of what is inside a closed room. By capturing these reflections, we can image objects behind a wall.
Wi-Vi is a see-through-wall technology that is low-bandwidth, low-power, compact, and accessible to non-military entities. Wi-Vi is a see-through-wall device that employs Wi-Fi signals in the 2.4 GHz ISM band.
Wi-Vi is a technology that modifies Wi-Fi signals to allow wireless vision through walls. It works by transmitting two low-power Wi-Fi signals from different antennas, one an inverse of the other, and detecting the interference patterns of the reflected signals. This allows it to detect moving objects behind walls by filtering out static reflections. While it can identify simple gestures and movements, Wi-Vi has low resolution and limitations detecting objects behind thick concrete walls. However, it has advantages of using existing Wi-Fi bandwidth and not requiring devices on the other side of walls.
This document discusses Wi-Vi, a technology that uses Wi-Fi signals to detect and track humans behind walls. Wi-Vi works by transmitting signals that reflect off walls and humans. It overcomes issues caused by wall reflections using MIMO nulling to identify human movements, shown as curved lines. Wi-Vi applications include law enforcement, emergencies, and personal security. While it provides low-cost detection with no connectors, resolution is low and range is short.
This document describes WIVI (Wireless Identification and Virtual Imaging) technology. WIVI uses WiFi signals to detect and track moving objects like humans behind walls. It was invented at MIT and works by transmitting WiFi signals that reflect off objects and analyzing the reflections to identify movement. WIVI consists of WiFi transmitters and receivers and can determine the number of humans in a room, their locations, and even simple gestures behind walls. However, its resolution is lower than cameras and thicker walls limit its range. Potential applications include security, emergency response, and smart home assistance.
This document discusses Wi-Vi technology, which uses Wi-Fi signals to detect and track moving humans behind walls. It faces challenges like distinguishing reflections from walls versus objects. Methods are used like interference nulling to cancel wall reflections while boosting signals from moving objects. Wi-Vi works by transmitting signals that interfere and null out static reflections, while reflections from moving humans are tracked over time using inverse synthetic aperture radar. Potential applications include security, emergency response, and gaming. Future work aims to improve resolution and detect objects behind thicker barriers over longer ranges.
Seeing through walls using Wireless Vision Technology. Wi-Fi signals are typically information carriers between a transmitter
and a receiver. In this paper, we show that Wi-Fi can also
extend our senses, enabling us to see moving objects through walls and behind closed doors.
Wi-VI is a technology developed by researchers at MIT that uses Wi-Fi signals to track moving objects behind walls. It uses two transmitting antennas that emit inverse signals and a single receiver. Reflections from static objects cancel out, while reflections from moving objects like people are detected. As a person moves, changes in the reflected signal's time of arrival allow their location to be calculated. Potential applications include incorporating it into smartphones for through-wall motion sensing and monitoring situations in places like hospitals. It provides a basic perspective on movement with relatively low resolution compared to cameras but can still trace simple gestures.
This document discusses Wi-Vi technology, which uses low-power Wi-Fi signals to detect moving objects like humans behind walls. It works by transmitting two signals that interfere with each other, so that reflections from static objects cancel out, while reflections from moving objects are detected. Potential applications include security, search and rescue, and gesture interfaces. While resolution is currently low, Wi-Vi has advantages of using existing Wi-Fi frequencies and not requiring devices on the other side of walls. Future development could integrate it into smartphones for through-wall detection and imaging capabilities.
Want similar presentation ideas? Interact and follow me in Quora : https://www.quora.com/profile/Liju-Thomas-13 or
Connect with me through Facebook : http://www.facebook.com
/lijuthomas24
Researchers have always tried to build a device capable of seeing people through walls. However, previous efforts to develop such a system have involved the use of expensive and bulky radar technology that uses a part of the electromagnetic spectrum only available to the military. Now a system is being developed by Dina Katabi and Fadel Adib, could give all of us the ability to spot people in different rooms using low-cost Wi-Fi technology. The device is low-power, portable and simple enough for anyone to use, to give people the ability to see through walls and closed doors. The system, called “Wi-Vi,” stands for "Wi-Fi" and "vision." is based on a concept similar to radar and sonar imaging. But in contrast to radar and sonar, it transmits a low-power Wi-Fi signal and uses its reflections to track moving humans. It can do so even if the humans are in closed rooms or hiding behind a wall.
Simple definition for Wi-Vi is, as a Wi-Fi signal is transmitted at a wall, a portion of the signal penetrates through it, reflecting off any humans on the other side. However, only a tiny fraction of the signal makes it through to the other room, with the rest being reflected by the wall, or by other objects. Wi-Vi cancels out all these other reflections, and keeps only those from the moving human body. Previous work demonstrated that the subtle reflections of wireless inter signals bouncing off a human could be used to track that person's movements, but those previous experiments either required that a wireless router was already in the room of the person being tracked. Wi-Fi signals and recent advances in MIMO communications are used to build a device that can capture the motion of humans behind a wall and in closed rooms. Law enforcement personnel can use the device to avoid walking into an ambush, and minimize casualties in standoffs and hostage situations. Emergency responders can use it to see through rubble and collapsed structures. Ordinary users can leverage the device for gaming, intrusion detection, privacy-enhanced monitoring of children and elderly, or personal security when stepping into dark alleys and unknown places.
The concept underlying seeing through opaque obstacles is similar to radar and sonar imaging. Specifically, when faced with a non-metallic wall, a fraction of the RF signal would traverse the wall, reflect off objects and humans, and come back imprinted with a signature of what is inside a closed room. By capturing these reflections, we can image objects behind a wall.
Wi-Vi is a see-through-wall technology that is low-bandwidth, low-power, compact, and accessible to non-military entities. Wi-Vi is a see-through-wall device that employs Wi-Fi signals in the 2.4 GHz ISM band.
The document describes Wi-Fi Vision (WiVi), a technology that uses Wi-Fi signals to detect and track moving objects like people behind walls. WiVi works by transmitting low-power Wi-Fi signals from two antennas and receiving the reflections at a third antenna. It cancels out static reflections like the wall to isolate reflections from moving objects, allowing it to determine things like the number of moving humans in a room and their locations. Potential applications of WiVi include incorporating the technology into smartphones for through-wall monitoring, tracking, and sensing capabilities.
Wi-Vi is a technique that uses Wi-Fi signals to detect moving humans behind walls. It transmits two waves that cancel when reflecting off static objects but not moving ones. Wi-Vi can determine the number and locations of moving humans behind walls up to 8 inches thick and identify simple gestures. It requires only a few MHz of bandwidth and uses existing Wi-Fi hardware, making it a low-cost solution to see through walls. However, its resolution is low and humans must move at least 50cm to be detected.
Wi-Vi is a device developed at MIT that uses low-power Wi-Fi signals to detect and track moving objects behind walls. It operates on the principles of radar and sonar by transmitting Wi-Fi signals that reflect off objects and return to antennas. The difference in arrival times of the reflected signals at the receiver allows the device to locate and monitor movements through walls. Potential applications of this low-cost, low-power technology include use in smartphones, hospitals, malls, and the military. Further improvements could enhance Wi-Vi's capabilities for virtual reality and defense purposes.
Wi-Vi is a device that uses Wi-Fi signals to identify people, their locations, and motions behind walls. It operates in two modes: one to image and track moving objects, and another for gesture-based communication without transmitters. Wi-Vi eliminates flash reflections using interference nulling between transmit and receive antennas. It tracks humans using inverse synthetic aperture radar as they sample the signal at different locations, emulating an antenna array. Gestures like stepping forward or backward encode bits to allow hidden communication. Wi-Vi showed accurate detection up to 5 meters away.
Wireless vision is a device which operates wirelessly and captures the moving objects behind the wall. WiFi or Wireless Fidelity signals are information carriers between a transmitter and a receiver. Through Wireless Vision, WiFi can be extended to our senses thereby allowing visualizing moving objects through closed doors and walls. These signals are helpful in identifying the people number and their locations while they are in a closed room. It can also help in identifying gestures behind the wall and also it combines gestures to communicate the messages to the wireless receiver without carrying any transmitting device.
Wi-Vi is a technology developed by researchers at MIT that uses Wi-Fi signals to detect and track moving humans behind walls. It transmits two signals that cancel when reflecting off static objects but not moving ones, allowing it to discern human movements. Challenges include differentiating reflections from humans and surroundings, but it overcomes this using antenna arrays to track signal sources. Wi-Vi has applications in security and communication and advantages of using existing Wi-Fi bandwidth, but limitations include low resolution and inability to see through very thick walls. Future improvements could integrate it into smartphones or increase detection range and image quality.
Wi-Vi is a technique developed by researchers at MIT that uses standard Wi-Fi signals to detect motion behind walls. It transmits two Wi-Fi waves that cancel each other when reflecting off static objects but not moving objects. This allows it to determine the number and locations of moving humans in a closed room without any devices on the other side of the wall. It was implemented with off-the-shelf USRP radios and shown to detect humans moving behind walls up to 8 inches thick. Wi-Vi has applications for search and rescue, security, and interactive interfaces and operates within the unlicensed Wi-Fi spectrum.
The document summarizes a seminar presentation on Wi-Vi technology. Wi-Vi was created by researchers at MIT to use Wi-Fi signals to detect and locate moving objects behind walls. It can determine the number of moving humans in a closed room and identify gestures. The technology works by transmitting low-power Wi-Fi signals from two antennas and receiving the reflections to tease out human movements from other reflections using MIMO nulling. Potential applications include military monitoring, hospital/mall security, and rescue operations.
Wi-Vi is a technology invented at MIT that uses Wi-Fi signals to detect and localize moving humans behind walls. It consists of a small device with two Wi-Fi transmitter antennas and one receiver antenna. By analyzing differences in the reflected signals, it can determine the number of moving humans in a room, their locations, and even identify simple gestures without direct line of sight. While it has advantages of being low-cost and using existing Wi-Fi signals, it also has limitations such as low resolution and an inability to see through very thick walls. Potential applications include emergency response, intruder detection, and new user interface designs.
WI-VI (WirelessVision) is a technology invented at MIT that uses Wi-Fi signals to detect and track moving objects like humans behind walls. It was invented by Dina Katabi and her student Fadel Adib. The system uses a MIMO device with two transmitter antennas and one receiver antenna. It is able to eliminate static objects like walls using a MIMO nulling concept while still detecting moving objects. Potential applications include emergency response, rescue operations, and law enforcement by allowing detection of people in dangerous or obscured areas.
Wi-Vi or wireless vision is one of the most modern technologies which use wireless fidelity or Wi-Fi as the core principle. Basically, it deals with tracking and manipulation of Wi-Fi signals.
Wi-Vi is used to image the obstacles or solids behind any wall or obstructions. The most important advantage of this is it is completely wireless and no cables or wires are used. Hence it becomes more suitable for usage in mobile devices and other lightweight technologies. Wireless facility also allows it to use in armed force and other security agencies.
As we know that SOANR and RADAR uses the principle of transmission and reflected waves, the Wi-Vi which uses the same principle can be called as an adaptation of those. But it also posses several differences and simpler apparatus. We will see those modifications on the coming pages of the paper.
Wi-Vi is a system that uses Wi-Fi signals to detect moving humans behind walls. It overcomes challenges like the "flash effect" using interference nulling to cancel wall reflections. Wi-Vi tracks human movement using inverse synthetic aperture radar processing of consecutive measurements. It has been tested using USRPs with accuracy detecting up to 3 humans through 6" walls and decoding gestures up to 5 meters away. Potential applications include law enforcement, smart homes, and gaming while limitations include low resolution and inability to image through thick concrete.
This document summarizes Wi-Vi, a technology that uses Wi-Fi signals to detect and track human movement behind walls. It works by transmitting identical Wi-Fi signals from two antennas that are 180 degrees out of phase, causing reflections from static objects to cancel out while reflections from moving objects are detected. The document outlines the history of Wi-Vi's development at MIT, its operating principles based on Doppler radar, its advantages of using existing Wi-Fi networks, and potential applications in areas like healthcare, gaming and disaster recovery. It concludes that Wi-Vi could be an effective defense technology and potentially the next generation of radar.
Ppt for the seminr topic on gi fi technologyVikram Emmidi
Gi-Fi is a next generation wireless technology developed in Australia that operates at 60GHz for high speed data transfer of up to 5Gbps. It was created to overcome the slow speeds and high power consumption of previous technologies like Bluetooth and Wi-Fi. Gi-Fi provides cable-like replacement with 10x faster transfer speeds than current wireless and lower power consumption than its predecessors. Its small chip design allows for portable, low-cost deployment and integration into various devices for applications like wireless home networks, device connectivity, and video streaming. Gi-Fi is expected to become the dominant wireless networking technology within five years.
The document discusses indoor positioning solutions (IPS). It provides background on the growing indoor location market with over 130 companies working on indoor mapping, tracking, and navigation technologies. IPS can be used for navigation, emergency response, tracking people and assets, and user applications like social networking and shopping. Technical approaches to IPS include terminal-based methods using the device itself for positioning, infrastructure-based methods using dedicated indoor infrastructure or existing WiFi networks, and hybrid methods. Baseline positioning methods discussed are connection-based positioning using cell/access point IDs, trilateration/multilateration using signal strength or timing to estimate distance, triangulation using angle of arrival, and fingerprinting using spatial radio environment maps. Google aggregates WiFi
A presention on LIFI technology..
Use MS Office 13 to view the original fonts and pics used within(as they are not supported in the previous versions..)
Wi-Fi signals can potentially enable seeing through walls using recent advances in MIMO communications. The document discusses how Wi-Fi signals reflected off objects behind walls can be analyzed to detect and track humans moving behind the wall. However, strong reflections from the wall itself ("flash effect") overwhelm the weak reflections from objects behind the wall. The proposed Wi-Vi system aims to eliminate this flash effect using interference nulling and MIMO techniques to detect and track humans moving behind walls and in closed rooms, without requiring additional receivers installed on the other side of the wall.
The document describes Wi-Fi Vision (WiVi), a technology that uses Wi-Fi signals to detect and track moving objects like people behind walls. WiVi works by transmitting low-power Wi-Fi signals from two antennas and receiving the reflections at a third antenna. It cancels out static reflections like the wall to isolate reflections from moving objects, allowing it to determine things like the number of moving humans in a room and their locations. Potential applications of WiVi include incorporating the technology into smartphones for through-wall monitoring, tracking, and sensing capabilities.
Wi-Vi is a technique that uses Wi-Fi signals to detect moving humans behind walls. It transmits two waves that cancel when reflecting off static objects but not moving ones. Wi-Vi can determine the number and locations of moving humans behind walls up to 8 inches thick and identify simple gestures. It requires only a few MHz of bandwidth and uses existing Wi-Fi hardware, making it a low-cost solution to see through walls. However, its resolution is low and humans must move at least 50cm to be detected.
Wi-Vi is a device developed at MIT that uses low-power Wi-Fi signals to detect and track moving objects behind walls. It operates on the principles of radar and sonar by transmitting Wi-Fi signals that reflect off objects and return to antennas. The difference in arrival times of the reflected signals at the receiver allows the device to locate and monitor movements through walls. Potential applications of this low-cost, low-power technology include use in smartphones, hospitals, malls, and the military. Further improvements could enhance Wi-Vi's capabilities for virtual reality and defense purposes.
Wi-Vi is a device that uses Wi-Fi signals to identify people, their locations, and motions behind walls. It operates in two modes: one to image and track moving objects, and another for gesture-based communication without transmitters. Wi-Vi eliminates flash reflections using interference nulling between transmit and receive antennas. It tracks humans using inverse synthetic aperture radar as they sample the signal at different locations, emulating an antenna array. Gestures like stepping forward or backward encode bits to allow hidden communication. Wi-Vi showed accurate detection up to 5 meters away.
Wireless vision is a device which operates wirelessly and captures the moving objects behind the wall. WiFi or Wireless Fidelity signals are information carriers between a transmitter and a receiver. Through Wireless Vision, WiFi can be extended to our senses thereby allowing visualizing moving objects through closed doors and walls. These signals are helpful in identifying the people number and their locations while they are in a closed room. It can also help in identifying gestures behind the wall and also it combines gestures to communicate the messages to the wireless receiver without carrying any transmitting device.
Wi-Vi is a technology developed by researchers at MIT that uses Wi-Fi signals to detect and track moving humans behind walls. It transmits two signals that cancel when reflecting off static objects but not moving ones, allowing it to discern human movements. Challenges include differentiating reflections from humans and surroundings, but it overcomes this using antenna arrays to track signal sources. Wi-Vi has applications in security and communication and advantages of using existing Wi-Fi bandwidth, but limitations include low resolution and inability to see through very thick walls. Future improvements could integrate it into smartphones or increase detection range and image quality.
Wi-Vi is a technique developed by researchers at MIT that uses standard Wi-Fi signals to detect motion behind walls. It transmits two Wi-Fi waves that cancel each other when reflecting off static objects but not moving objects. This allows it to determine the number and locations of moving humans in a closed room without any devices on the other side of the wall. It was implemented with off-the-shelf USRP radios and shown to detect humans moving behind walls up to 8 inches thick. Wi-Vi has applications for search and rescue, security, and interactive interfaces and operates within the unlicensed Wi-Fi spectrum.
The document summarizes a seminar presentation on Wi-Vi technology. Wi-Vi was created by researchers at MIT to use Wi-Fi signals to detect and locate moving objects behind walls. It can determine the number of moving humans in a closed room and identify gestures. The technology works by transmitting low-power Wi-Fi signals from two antennas and receiving the reflections to tease out human movements from other reflections using MIMO nulling. Potential applications include military monitoring, hospital/mall security, and rescue operations.
Wi-Vi is a technology invented at MIT that uses Wi-Fi signals to detect and localize moving humans behind walls. It consists of a small device with two Wi-Fi transmitter antennas and one receiver antenna. By analyzing differences in the reflected signals, it can determine the number of moving humans in a room, their locations, and even identify simple gestures without direct line of sight. While it has advantages of being low-cost and using existing Wi-Fi signals, it also has limitations such as low resolution and an inability to see through very thick walls. Potential applications include emergency response, intruder detection, and new user interface designs.
WI-VI (WirelessVision) is a technology invented at MIT that uses Wi-Fi signals to detect and track moving objects like humans behind walls. It was invented by Dina Katabi and her student Fadel Adib. The system uses a MIMO device with two transmitter antennas and one receiver antenna. It is able to eliminate static objects like walls using a MIMO nulling concept while still detecting moving objects. Potential applications include emergency response, rescue operations, and law enforcement by allowing detection of people in dangerous or obscured areas.
Wi-Vi or wireless vision is one of the most modern technologies which use wireless fidelity or Wi-Fi as the core principle. Basically, it deals with tracking and manipulation of Wi-Fi signals.
Wi-Vi is used to image the obstacles or solids behind any wall or obstructions. The most important advantage of this is it is completely wireless and no cables or wires are used. Hence it becomes more suitable for usage in mobile devices and other lightweight technologies. Wireless facility also allows it to use in armed force and other security agencies.
As we know that SOANR and RADAR uses the principle of transmission and reflected waves, the Wi-Vi which uses the same principle can be called as an adaptation of those. But it also posses several differences and simpler apparatus. We will see those modifications on the coming pages of the paper.
Wi-Vi is a system that uses Wi-Fi signals to detect moving humans behind walls. It overcomes challenges like the "flash effect" using interference nulling to cancel wall reflections. Wi-Vi tracks human movement using inverse synthetic aperture radar processing of consecutive measurements. It has been tested using USRPs with accuracy detecting up to 3 humans through 6" walls and decoding gestures up to 5 meters away. Potential applications include law enforcement, smart homes, and gaming while limitations include low resolution and inability to image through thick concrete.
This document summarizes Wi-Vi, a technology that uses Wi-Fi signals to detect and track human movement behind walls. It works by transmitting identical Wi-Fi signals from two antennas that are 180 degrees out of phase, causing reflections from static objects to cancel out while reflections from moving objects are detected. The document outlines the history of Wi-Vi's development at MIT, its operating principles based on Doppler radar, its advantages of using existing Wi-Fi networks, and potential applications in areas like healthcare, gaming and disaster recovery. It concludes that Wi-Vi could be an effective defense technology and potentially the next generation of radar.
Ppt for the seminr topic on gi fi technologyVikram Emmidi
Gi-Fi is a next generation wireless technology developed in Australia that operates at 60GHz for high speed data transfer of up to 5Gbps. It was created to overcome the slow speeds and high power consumption of previous technologies like Bluetooth and Wi-Fi. Gi-Fi provides cable-like replacement with 10x faster transfer speeds than current wireless and lower power consumption than its predecessors. Its small chip design allows for portable, low-cost deployment and integration into various devices for applications like wireless home networks, device connectivity, and video streaming. Gi-Fi is expected to become the dominant wireless networking technology within five years.
The document discusses indoor positioning solutions (IPS). It provides background on the growing indoor location market with over 130 companies working on indoor mapping, tracking, and navigation technologies. IPS can be used for navigation, emergency response, tracking people and assets, and user applications like social networking and shopping. Technical approaches to IPS include terminal-based methods using the device itself for positioning, infrastructure-based methods using dedicated indoor infrastructure or existing WiFi networks, and hybrid methods. Baseline positioning methods discussed are connection-based positioning using cell/access point IDs, trilateration/multilateration using signal strength or timing to estimate distance, triangulation using angle of arrival, and fingerprinting using spatial radio environment maps. Google aggregates WiFi
A presention on LIFI technology..
Use MS Office 13 to view the original fonts and pics used within(as they are not supported in the previous versions..)
Wi-Fi signals can potentially enable seeing through walls using recent advances in MIMO communications. The document discusses how Wi-Fi signals reflected off objects behind walls can be analyzed to detect and track humans moving behind the wall. However, strong reflections from the wall itself ("flash effect") overwhelm the weak reflections from objects behind the wall. The proposed Wi-Vi system aims to eliminate this flash effect using interference nulling and MIMO techniques to detect and track humans moving behind walls and in closed rooms, without requiring additional receivers installed on the other side of the wall.
This document summarizes a technical seminar report on Wi-Vi technology. Wi-Vi uses Wi-Fi signals to detect and track moving objects like people behind walls and through closed doors without needing additional devices installed on the other side. It introduces innovations to eliminate the "flash effect" where strong reflections from walls overwhelm weaker returns from objects behind the wall. The system is based on MIMO interference nulling to cancel out static reflections like from the wall and focus on moving targets, treating a person's motion like an antenna array. It was tested using software-defined radios and shown to identify people and gestures behind barriers.
This document discusses Wi-Vi (Wireless Vision) technology, which uses Wi-Fi signals to detect motion behind walls. Wi-Vi was developed by researchers at MIT in 2013. It consists of a transmitter that sends Wi-Fi signals and a receiver that detects the reflected signals. When people move in the detection area, their motion causes changes in the reflected signals, allowing the system to identify the number of moving objects, their locations, and even simple gestures. Wi-Vi has potential applications in security, emergency response, and interfaces that can detect gestures from the other side of a wall. The document outlines the basic principles and components of Wi-Vi systems and provides examples of its capabilities and possible future developments.
The document proposes a new technology called Wireless Vision (Wi-Vi) that uses Wi-Fi signals to see through walls and detect human movement behind closed doors without any devices on the other side. Wi-Vi aims to eliminate the "flash effect" caused by wall reflections using MIMO antenna arrays and track moving objects by treating them as inverse synthetic aperture radars. It has potential applications in security, emergency response, and gaming by providing a low-cost way to detect movement on the other side of walls and closed doors using existing Wi-Fi networks and hardware.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system.
The document summarizes an LZR laser sensor platform for automation applications. It can detect objects at distances of up to 9.9 meters with high precision. The laser curtains allow for detecting humans and vehicles across entire openings. It has advantages over light grids such as being immune to debris and providing detection in areas just outside thresholds. The laser sensor conforms to various safety standards and provides flexible detection fields for applications like gates and barriers.
ultra wide band radar stystem.pptx vcbcvvvvvczcczbazeeshaikngm
This document describes an ultra wide band radar system for detecting human vital signs through walls. It uses Doppler radar to identify breathing movements behind barriers. The system aims to detect stationary human targets using short time Fourier transform analysis and singular value decomposition to reduce clutter. It compares existing harmonic pulse radar methods to the proposed UWB system, which can provide high range resolution and penetrate barriers. The document outlines the hardware and software used, including an Arduino, Doppler sensor, IR temperature sensor, and MATLAB. It analyzes the results and discusses applications in search and rescue, surveillance, and detecting humans in enclosed spaces.
Wireless Sensor Networks: Nothing is Out of ReachEnergySec
Presenter: Daniel Lance, Layered Integration
After years of installing wireless sensor networks in homes and businesses we are now faced with a question “How is this all secure? Or is it?” A look into WSN (Wireless Sensor Networks) history and original design concepts that paved the road to us using these in our every day life.
This presentation will be a deep dive into wireless and reveal new challenges we have in protecting our perimeter when all of our core monitoring devices are riding a wave into the public space as most industrial control providers look to capitalize on fast installation times and inexpensive adaptive solutions. This research shows us start to finish how anyone with a laptop and SDR (Software Defined Radio) can hack into and take control of WSN’s from outside the front gate.
The presentation will demonstrate how a device inside your facility might reveal itself through spectrum analysis than how a hacker might flank the security of the device and own the network with very simple replay attacks that can grant them physical access, and how social engineering pre-installation and post-installation will cause you to disregard warning signs that someone is tampering with the network. A high level understanding of radio is no longer needed for packet analysis with open source tools, proper implementation has never been more important as even a encrypted device can be compromised by the last mile before installation. We will talk about the tools security professionals are lacking from the manufactures of these devices to scan for a compromised device and what can be done in the future to protect WSN’s.
Adaptive Neighbor Discovery for Mobile and Low Power Wireless Sensor Networks Dimitrios Amaxilatis
Adaptive neighbor discovery is a technique that adapts beaconing rates in wireless sensor networks based on neighborhood changes. It uses a stability metric to determine if nodes can relax beaconing. Stable nodes with consistent neighborhoods reduce beaconing, while unstable nodes increase beaconing to update neighbors. Simulations show it reduces beacons by 90% in stable environments. Real world tests on a testbed show it extends network lifetime by 20% and handles mobility better than fixed neighbor discovery approaches. Further work includes evaluating duty cycling and using it with other network protocols.
Security and privacy in Wireless Sensor NetworksImran Khan
This document discusses security and privacy issues in emerging wireless networks such as wireless sensor networks and vehicular ad hoc networks. It identifies several factors that make wireless networks more vulnerable than wired networks, such as broadcast communication enabling eavesdropping, mobility revealing user location, and resource constraints opening doors to denial of service attacks. The document examines challenges for unattended wireless sensor networks that operate without a continuous sink presence, and discusses potential solutions like data protection through encryption and authentication. It concludes that new security challenges arise from features like intermittent connectivity, and that infrastructure-independent and new cryptographic techniques are needed to address issues in emerging wireless networks.
Gesture Recognition using Wireless Signalijsrd.com
This document describes a novel gesture recognition system called WiSee that uses wireless signals like Wi-Fi to enable whole-home gesture recognition without requiring instrumentation of the human body or deployment of cameras. It works by detecting very small Doppler shifts (a few Hertz) in the wireless signals caused by human motion. It addresses challenges like extracting these minute Doppler shifts from wideband Wi-Fi signals, dealing with multiple people in the environment using MIMO capabilities, and classifying nine different whole-body gestures based on the unique Doppler patterns. The system could enable applications in home automation, healthcare, and gaming by recognizing gestures anywhere in the home using only a few wireless access points.
Wireless integrated network sensors (WINS) can be used to monitor borders by dividing the border area into nodes connected to a main node. Each node senses footstep noises that are converted into power spectral densities and compared to reference values to identify intruders. WINS require very low power so they are cheaper than radar systems and introduce minimal delay in detecting targets. They allow continuous, distributed monitoring of land, water, and air resources on a global scale.
This document discusses wireless sensor network projects. It outlines the key features of wireless sensor networks including their scalable and resilient nature. It describes the major types of wireless sensor networks such as body sensor networks and mobile WSN. It also lists several applications of wireless sensor networks for remote health monitoring, surveillance, environmental monitoring, and disaster management. Finally, it presents some upcoming research ideas in areas like coverage hole detection, RFID localization, and low-power mobile sensing systems.
The document summarizes a student project to design a short range personal infrared radar system. The system will use an infrared sensor that rotates 180 degrees to detect objects from 10cm to 500cm away. When an object is detected, the microcontroller will activate an alarm sound and display the distance on an LCD screen. It will also illuminate an LED in the direction of the detected object. The students will survey literature on similar infrared and ultra-wideband radar systems and use software like MPLAB and Proteus to program the microcontroller and simulate the system. Potential applications include home security, parking assistance, and driving aids.
Similar to Wireless Vision (Wi-vi)- attractive slides by Nirmal Ram (16)
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
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Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
4. challenges
RF signals penetrate walls:
Reflect off objects on other side of wall
Distinguish reflectors by their arrival times
At low bandwidth:
Wall reflection much stronger than
reflections coming from behind the wall.
Flash effect: wall reflection saturates the
ADC
Previous attempts to track moving targets
through
walls have done so using an array of
spaced antennas. This would be too
expensive and bulky.
FlashEffect
TraditionalSystem
Identifyingand
trackingHumans