DETERMINATION OF BOUNDARY CONDITIONS FOR THE RADIATION PATTERN OF A MICROELECTRO-OPTICAL INTELLIGENT PASSIVE INFRARED MOTION DETECTOR

In this paper, a block diagram of a microelectro-optical intelligent passive infrared motion detector is proposed. On the basis of the proposed structural scheme and analytically conducted synthetic processing of information from primary sources [5-17], boundary conditions for the directivity diagram of such a detector are determined. The analytical information collected in this article will be necessary for further modeling in computer-aided design with a view to new developments and improvements to existing motion detectors.

Synthetic Generation of Passive Infrared Motion Sensor Data Using a Game Engine

Quantifying the number of occupants in an indoor space is useful for a wide variety of applications. Attempts have been made at solving the task using passive infrared (PIR) motion sensor data together with supervised learning methods. Collecting a large labeled dataset containing both PIR motion sensor data and ground truth people count is however time-consuming, often requiring one hour of observation for each hour of data gathered. In this paper, a method is proposed for generating such data synthetically. A simulator is developed in the Unity game engine capable of producing synthetic PIR motion sensor data by detecting simulated occupants. The accuracy of the simulator is tested by replicating a real-world meeting room inside the simulator and conducting an experiment where a set of choreographed movements are performed in the simulated environment as well as the real room. In 34 out of 50 tested situations, the output from the simulated PIR sensors is comparable to the output from the real-world PIR sensors. The developed simulator is also used to study how a PIR sensor’s output changes depending on where in a room a motion is carried out. Through this, the relationship between sensor output and spatial position of a motion is discovered to be highly non-linear, which highlights some of the difficulties associated with mapping PIR data to occupancy count.

Passive Infrared Motion Sensors Improved the Detection Accuracy of Nocturnal Agitation

Actigraphy has been used to detect agitation in persons with dementia, although this technology must be worn by participants. Another promising sensing methodology is passive infrared (PIR) motion, which provides continuous, low-cost, and unobtrusive data, and may also improve the detection of agitated periods. Using data from the MODERATE (Monitoring Dementia-Related Agitation Using Technology Evaluation) study, we compared the predictive value of detecting agitation in a male participant, who was 64 years old with Alzheimer’s disease (AD), living in a memory care unit, and monitored with actigraphy on his wrist and four PIR motion sensors within his living quarters. The participant’s medical record indicated that he experienced agitation during 17 nights over 96 consecutive days. 929,037 data points were captured for analysis. From each night, the features extracted from the actigraphy wearable included total and standard deviation of activity counts, activity counts in the most and the least active hours, and median activity counts in one hour. Features extracted from the PIR motion sensors included dwell durations in the areas around bed, sofa, front door and bathroom, and the number of transitions between these areas. Using logistic regression to predict agitated periods, comparable classification performances were achieved using these two sets of features (AUC = 0.74 for wearable and AUC = 0.71 for PIR motion sensors). When these two sets of features were combined, the classification performance showed notable improvement (AUC = 0.83). This study points to the value of utilizing PIR motion sensors for detecting dementia-related agitation.

Rancang Bangun Sistem Pemantau Keamanan Rumah Dari Tindak Pencurian Berbasis Android Secara Waktu Nyata

Dalam keadaan ekonomi yang sulit di masa pandemi COVID-19 ini, tindak kejahatan menjadi meningkat. Salah satunya yaitu tindak pencurian pada rumah yang ditinggal bekerja oleh penghuninya. Cara yang biasa digunakan untuk mengatasi permasalahan ini yaitu dengan mempekerjakan petugas keamanan atau memasang kamera CCTV. Pada penelitian ini diajukan sebuah sistem pemantauan rumah yang dapat mendeteksi seorang penyusup yang bergerak di depan dan di samping rumah, serta penyusup yang hendak membuka pintu depan dan pintu samping rumah. Sistem dapat memberitahu penghuni rumah dan petugas keamanan jika mendeteksi adanya penyusup melalui aplikasi Android pada smartphone. Sensor Passive Infrared (PIR) dipasang pada area dekat pintu depan dan samping rumah untuk mendeteksi pergerakan orang. Pada pintu depan dan samping dipasang sensor magnetic door switch untuk mendeteksi pembobolan pintu. Data-data sensor diproses oleh WeMos D1 Mini yang terkoneksi WiFi. Ketika status waspada dan bahaya terdeteksi, buzzer di depan rumah akan menyala dan WeMos langsung mengirimkan notifikasi berupa status kondisi rumah ke Android pemilik rumah dan petugas keamanan kompleks perumahan setempat. Berdasarkan hasil pengujian, sistem ini dapat mendeteksi pergerakan manusia di area depan dan samping rumah dengan jarak maksimum 5 meter dari sensor. Berdasarkan hasil pendeteksian magnetic door switch, sistem dapat mengirimkan notifikasi berupa status waspada dan bahaya ke Android pemilik rumah dan petugas keamanan kompleks perumahan setempat dengan waktu pengiriman dari 1 sampai 5 detik. Notifikasi tersebut dapat diterima Android dalam keadaan lock screen maupun dalam keadaan sedang membuka aplikasi lain.

Design Of Detection System With Motion Sensor And Notification On Android Based On Arduino Microcontroller

The rapid development of technology nowadays makes people want to always be creative and triggers to create something that is needed to create a security system, because of today's economy makes many people act criminally by robbery or theft. An alternative security system that is often used today is to use CCTV (Closed Circuit Television), but the limitations in conducting CCTV control include that it still has to be monitored directly at the monitoring location only. From the problems that occur, the authors develop a thesis that is able to control and monitor by sending realtime alerts in the form of notifications to the user on an Android Smartphone device by building an IoT (Internet of Thing) based detection system using a PIR (Passive Infrared) motion sensor entitled "Design And Build A Detection System With Motion Sensor And Notification On Android Based On Arduino Microcontroller".

Design of a Microcontroller Based Community Security System for Developing Nations

There can never be any time in the history of mankind that issue of community security secures the rapt attentions of all and sundries. It is believed in many security circles that the upsurge may not be unconnected from craves for materialism, ubiquitous social media technologies and a breakdown in citizen’s value systems. The design uses an AtMega328P based Microcontroller to develop the security system. It uses Photosensitive and Passive Infrared devices as sensors. Codes were written and compiled. Simulation was done using Proteus while implementation was achieved on breadboard. The system operates each time an intruder is sensed; with the presence of any burglar, a buzzer sounds an alarm and security lighting system switch on for five minutes. A 16 by 2 LCD unit displays the state of the machine. It is believed undoubtedly that the loud noise from the buzzer will keep awake the domestic buildings’ occupants and other security conscious neighbours thereby scaring away the unwanted guests.

AUTOMATED WASTE COLLECTION CONTAINER LID OPENER PROTOTYPE WITH DISINFECTANT SPRAYER AS PART OF NOSOCOMIAL INFECTION PREVENTION

Nosocomial infection is a health issues related to the in-hospital activities. One of the indirect cause was the contamination related to the waste disposal activity. All hospital waste was deemed hazardous that it needs extra care during collection. Cross contamination may arises when the waste containers was not treated. To alleviate the problem and to promote healthy habits, this article describe a smart disinfectant sprayed waste collection container and its status reports. By automating the lid opening and closing that was triggered by human proximities using passive infrared detector and ultrasound sensor, it provide convenience in waste disposal. This also prevent cross contamination related with physical contact with the waste container which may induce the nosocomial infection. The container also tracking its remained waste capacity and will report when it was almost full to prevent overflowed and to alarmed for immediate waste pickup. In case of delayed container collection, the lids will remain closed and the light indicator turn to red. The indicator will turn green in normal conditions and turn yellow if the container was almost full. ESP32 was used to interface with ultrasound sensors to approximate the container remaining capacity. Passive infrared sensor and a servo motor was linked to actuates the lid opening and closing. Some disinfectant was sprayed for every detected increase in waste level. The disinfectant aerosol canister was pushed by a DC motor. For reporting, the systems was equipped with LoRa for status report. This systems was tested inside Poltekkes Kemenkes Jakarta II building and could reach at least 80m distance from the report center for reporting.