Methods of measurement and declaration of the detection range of detectors - Passive infrared detectors for major and minor motion detection

Abstrak: Tujuan Penelitian ini adalah merancang Sistem kontrol suhu dan pendeteksi gerakan dalam ruangan laboratorium berbasis arduino uno R3 dengan modul Real Time Clock (RTC) dan Passive Infrared Receiver (PIR). Dalam penelitian ini metode yang digunakan adalah SDLC dan alat bantu perancangan menggunakan Flowchart, fritzing. Sistem pengontrolan suhu dan Pendeteksi Gerakan dalam ruangan yang dirancang mengunakan komponen utama terdiri dari mikrokontroler, sensor suhu (DHT22), sensor gerak (PIR), modul RTC, LCD, relay, dan kipas. Pengujian sesor PIR dengan jarak 1-5 meter dengan waktu yang digunakan dari 0-90 detik sensor masi mendeteksi adanya pergerakan, dengan adanya pergerakan yang terdeteksi oleh sensor PIR maka Relay aktif kipas berputar, kemudian LCD sebagai indikator menampilkan kipas ON dan ada pergerakan keterangan ruangan sedang ada orang. pengujian sensor PIR terhadap kepekaan sudut sekeliling ruangan, pengujian dimulai dari nilai sudut 0°-45° 1-4 meter PIR masih mendeteksi adanya Pergerakan. Selain itu pengujian sensor DHT22 dengan suhu normal 28°C, Sistem ini dapat membantu pihak kampus dalam mengontrol suhu dan mendeteksi gerakan dalam ruangan secara otomatisKata kunci: Pengontrolan, Suhu, Gerakan, Arduino UnoAbstract: The purpose of this research is to design a temperature control system and motion detection in a laboratory room based on Arduino Uno R3 with Real-Time Clock (RTC) and Passive Infrared Receiver (PIR) modules. In this study, the method used is SDLC and design tools using flowcharts, fritzing. Indoor temperature control and motion detection systems are designed using the primary components consisting of a microcontroller, temperature sensor (DHT22), a motion sensor (PIR), RTC module, LCD, relay, and fan. Testing the PIR sensor with a distance of 1-5 meters with the time used from 0-90 seconds, the sensor still detects movement. With the motion detected by the PIR sensor, the active relay fan rotates. The LCD as an indicator displays the fan ON. There is the movement of room information. There are people. Testing the PIR sensor on the corner's sensitivity around the room, the test starts from an angle value of 0 ° -45 ° 1-4 meters. PIR still detects movement. In addition to testing the DHT22 sensor with an average temperature of 28 ° C, this system can automatically help the campus control temperature and automatically detect indoor movement.Keywords: Control, Temperature, Movement, Arduino Uno

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Diffractive Optical Elements for Passive Infrared Detectors

Diffractive Optics and Micro-Optics ◽

10.1364/domo.2000.dtha3 ◽

2000 ◽

Cited By ~ 3

Author(s):

M. Rossi ◽

Th. Anuner ◽

M.T. Gale ◽

A. Maciossek ◽

J. Söchtig ◽

...

Keyword(s):

Infrared Detectors ◽

Diffractive Optical Elements ◽

Optical Elements ◽

Passive Infrared

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Shuttered Passive Infrared Sensor for Occupancy Detection: Exploring a Low Power Electro-Mechanical Driving Approach

Volume 2: Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies ◽

10.1115/smasis2018-8112 ◽

2018 ◽

Author(s):

Libo Wu ◽

Ya Wang

Keyword(s):

Power Consumption ◽

False Negative ◽

Average Power ◽

Incident Radiation ◽

Signal Frequency ◽

Detection Range ◽

Occupancy Detection ◽

Average Power Consumption ◽

Stepper Motors ◽

Passive Infrared

Passive infrared (PIR) sensors are the most popular deployed sensors in building lighting control for individual presence detection. However, PIR sensors are motion detectors in nature, responding only to incident radiation variation, which lead to false negative detections, inaccurate occupancy estimation, and uncomfortable lighting swings, short lifetime of the equipment, and waste of energy. In this study, a shutter driven by a Lavet motor PIR (LAMPIR) sensor is developed for presence detection for both stationary and moving occupants. Building off our previous work on chopped PIR (C-PIR) and rotationally-chopped PIR (Ro-PIR) sensors, Lavet motor, a single-phase electro-mechanical vibrator, is introduced, which has many advantages over traditional servo motors and stepper motors in terms of power consumption, size, weight and noise level. Driven by pulsed signal from a microcontroller unit (MCU), the electro-mechanical vibrator drives a semi-transparent long-wave infrared (LWIR) optical shutter to shutter the field of view (FOV) of a PIR sensor periodically. Output voltage generated by a LAMPIR senor for occupied and unoccupied scenarios can be monitored and analyzed to identify presence accurately. Parametric studies are conducted to find the optimal setting of driving signal frequency, shutter width and shuttering period. The LAMPIR sensor reaches an accuracy of 100% for detecting stationary occupants up to a range of 4.5 m and moving occupants up to a range of 10 m, which improves the detection range of both C-PIR and Ro-PIR sensors (4.0 m for stationary and 8.0 m for moving occupancy detection). LAMPIR has a FOV of 90° in horizontal and 100° in vertical, which is reasonable for most applications. For a 17-hour-long presence detection test, LAMPIR can reach an accuracy of 93.52% to classify unoccupied, stationary and moving occupant scenarios. More importantly, the average power consumption of LAMPIR is 0.19 W, which is 82% less than that of the C-PIR sensor and 89% less than that of the Ro-PIR sensor.

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Using Passive Infrared Detectors to Record Group Activity and Activity in Certain Focus Areas in Fattening Pigs

Animals ◽

10.3390/ani10050792 ◽

2020 ◽

Vol 10 (5) ◽

pp. 792

Author(s):

Naemi Von Jasmund ◽

Anna Wellnitz ◽

Manuel Stephan Krommweh ◽

Wolfgang Büscher

Keyword(s):

Infrared Detectors ◽

Visual Assessment ◽

Strong Correlations ◽

Record Group ◽

Point Analysis ◽

Environment Parameters ◽

Functional Areas ◽

On Farm ◽

Fattening Pigs ◽

Passive Infrared

Animal behavior is an important aspect in the assessment of animal welfare. Passive infrared detectors (PID), detecting thermal changes to measure activity, have already been used to record data on the behavior of groups of animals. Within this study, the suitability of these detectors for the collection of activity profiles for focused areas is further investigated. The aim was to record the activity of a group of eleven fattening pigs in a pen, as well as the activity in the five functional areas for resting, feeding, drinking, exploration, and elimination. In order to evaluate the data obtained, the behavior was video recorded for visual assessment. In addition, relevant indoor environment parameters were recorded (ammonia, air temperature, and relative humidity). For the measurement of activity by PID, strong correlations from up to r = 0.87 (p < 0.01) could be found compared to visual assessment. The results indicate that activity changes during the day and activity in defined functional areas can be recorded using PIDs. These data combined with data of climate-related sensors could serve the farmer as a monitoring tool for early detection of behavioral changes or serve as partial aspect within a Weak Point Analysis within external on-farm consulting.

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Passive infrared detection (PID) of activity in groups of broiler chickens growing at different rates

Proceedings of the British Society of Animal Science ◽

10.1017/s175275620000555x ◽

2001 ◽

Vol 2001 ◽

pp. 173-173

Author(s):

B.L. Nielsen ◽

J.B. Kjaer ◽

N.C. Friggens

Keyword(s):

Infrared Detectors ◽

Present Experiment ◽

Broiler Chickens ◽

Energy Content ◽

Growth Period ◽

Infrared Detection ◽

Fast Growing ◽

Diurnal Patterns ◽

Time Courses ◽

Passive Infrared

Activity of fast growing broiler chickens is known to decrease at two to three weeks of age, whereas slower growing hybrids are not only more active, but remain so throughout the growth period (Reiter and Bessei, 1998). The present experiment aimed to monitor diurnal patterns and time courses of activity in groups of commercial broilers fed one of two feed types differing in energy content. Activity was assessed using passive infrared detectors (PIDs), which sense movement of an object with a temperature different from that of the background.

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