Design, fabrication, and characterization of Fresnel lens array with spatial filtering for passive infrared motion sensors

Cirino, Giuseppe A.; Barcellos, Robson; Morato, S.P.; Bereczki, Allan; Neto, Luiz Biondi

doi:10.1117/12.707928

Cited by 16 publications

(4 citation statements)

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“…It generates an electric voltage when exposed to Infra-red radiations and human presence is detected with sudden changes in Infra-red radiations emitted by human beings. Fresnel lens is used in conjunction with PIR sensor because of its property of being good energy collector and to shape the FOV [12]. It focuses the infra-red signals on crystalline element.…”

Section: Literature Surveymentioning

confidence: 99%

Wireless health monitoring system for sleepwalking patients

Singhal

Jain

2015

2015 39th National Systems Conference (NSC)

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In today's fast paced life, getting a good and sound sleep has become very difficult resulting in increased cases of sleepwalk. Sleepwalking is much more dangerous than what it appears to be. Many incidents have been reported in which people have performed extremely dangerous activities during sleepwalking viz. suicide, murder, robbery or any other criminal action. This paper aims to develop a prototype for continuous monitoring and protection of sleepwalking patients. The prototype can detect when a person falls or trying to go out of doors, windows etc. unconsciously during sleepwalking. Accelerometer and motion sensor have been used for detecting fall and motion respectively. When an event happens, an alarm sounds and a message is sent on a registered mobile number which is already stored in the microcontroller and simultaneously a call is sent on another mobile number using wireless cellular system, thus alerting the concerned authorities to prevent any mishap. Wireless personal area network WPAN (IEEE802.15.4/ZigBee 2.4 GHz RF Modem) has been used for indoor wireless communication in the prototype.

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Section: Literature Surveymentioning

confidence: 99%

Wireless health monitoring system for sleepwalking patients

Singhal

Jain

2015

2015 39th National Systems Conference (NSC)

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“…Incorporating a Fresnel lens array can detect long-distance objects. Because the infrared Fresnel lens contains special filter material, it only allows the infrared radiation in the human infrared radiation band to pass through for effective suppression of the noise signal in other environmental bands [18] . Typically, the effective detection distance of the PIR sensor equipped with an infrared Fresnel lens can reach about 10 m. The Fresnel lens is made of polyethylene and mounted in front of the infrared sensor [19] .…”

Section: Pir Technologymentioning

confidence: 99%

Development status of a smart lighting system in urban streets

Wang,

Ma,

Guan

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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With the ongoing evolution of wired/wireless communication technologies and the steady improvement of living standards, the concept of the smart lighting system has transitioned continuously from a mere ideal to a tangible reality.This paper introduces the current development status of urban smart lighting systems around the world. Furthermore, it explores the popular detection technology of movement and light, as well as the progression of wired/wireless communication technologies, comparing their merits and drawbacks and imagining the development of urban smart street lamps.In light of the evidence presented and the potential benefits of the technology, this paper suggests that urban planners and relevant authorities consider the adoption of urban smart street lamps as a viable solution to enhance energy efficiency, safety, and technological advancement in city infrastructure.

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“…PIR sensors are used in conjunction with Fresnel lenses to shape their field of view [ 27 ]. Fresnel lenses can be manufactured by molding plastic materials having transmission characteristics appropriate for a particular wavelength range, e.g., the human body (8–14 μ m).…”

Section: A Pir-based Movement Detecting Devicementioning

confidence: 99%

Human Movement Detection and Identification Using Pyroelectric Infrared Sensors

Yun

Lee

2014

Sensors

170

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Pyroelectric infrared (PIR) sensors are widely used as a presence trigger, but the analog output of PIR sensors depends on several other aspects, including the distance of the body from the PIR sensor, the direction and speed of movement, the body shape and gait. In this paper, we present an empirical study of human movement detection and idengification using a set of PIR sensors. We have developed a data collection module having two pairs of PIR sensors orthogonally aligned and modified Fresnel lenses. We have placed three PIR-based modules in a hallway for monitoring people; one module on the ceiling; two modules on opposite walls facing each other. We have collected a data set from eight subjects when walking in three different conditions: two directions (back and forth), three distance intervals (close to one wall sensor, in the middle, close to the other wall sensor) and three speed levels (slow, moderate, fast). We have used two types of feature sets: a raw data set and a reduced feature set composed of amplitude and time to peaks; and passage duration extracted from each PIR sensor. We have performed classification analysis with well-known machine learning algorithms, including instance-based learning and support vector machine. Our findings show that with the raw data set captured from a single PIR sensor of each of the three modules, we could achieve more than 92% accuracy in classifying the direction and speed of movement, the distance interval and idengifying subjects. We could also achieve more than 94% accuracy in classifying the direction, speed and distance and idengifying subjects using the reduced feature set extracted from two pairs of PIR sensors of each of the three modules.

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Design, fabrication, and characterization of Fresnel lens array with spatial filtering for passive infrared motion sensors

Cited by 16 publications

References 0 publications

Wireless health monitoring system for sleepwalking patients

Wireless health monitoring system for sleepwalking patients

Development status of a smart lighting system in urban streets

Human Movement Detection and Identification Using Pyroelectric Infrared Sensors

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