Skip to main content

PIR ON RASPBERRY PI

PASSIVE INFRARED MOTION SENSOR (PIR)

Humans and other animals emit radiation all the time. This is nothing to be concerned about, though, as the type of radiation we emit is infrared radiation (IR), which is pretty harmless at the levels emitted by humans. In fact, all objects above absolute zero (-273.15C) emit IR radiation.
A PIR sensor detects changes in the amount of IR radiation it receives. When there is a significant change in the amount of IR radiation it detects, then a pulse is triggered. This means that a PIR sensor can detect when a human (or any animal) moves in front of it.
pir

WIRING A PIR SENSOR

The pulse emitted when a PIR detects motion needs to be amplified, and so it needs to be powered. There are three pins on the PIR; they should be labelled Vcc, Gnd, and Out. If these labels aren't clear, they are sometimes concealed beneath the Fresnel lens (the white cap), which you can temporarily remove to see the pin labels.
wiring
  1. As shown above, the Vcc pin needs attaching to a 5V pin on the Raspberry Pi.
  2. The Gnd pin on the PIR sensor can be attached to any ground pin on the Raspberry Pi.
  3. Lastly, the Out pin needs to be connected to any of the GPIO pins.

DETECTING MOTION

You can detect motion with the PIR using the code below:
from gpiozero import MotionSensor

pir = MotionSensor(4)

while True:
    if pir.motion_detected:
        print("You moved")

Comments

Post a Comment

Popular posts from this blog

Android Tutorial

Android  is a complete set of software for mobile devices such as tablet computers, notebooks, smartphones, electronic book readers, set-top boxes etc. It contains a  linux-based Operating System ,  middleware  and  key mobile applications . It can be thought of as a mobile operating system. But it is not limited to mobile only. It is currently used in various devices such as mobiles, tablets, televisions etc. This tutorial is developed for beginners and experienced persons. Let's see the topics of android that we are going to learn. Basics of Android In this fundamental chapter, you will learn about android, its components, how to create first android application, internal of first android application etc. What is Android History and Version Software Stack Core Building Blocks Android Emulator Installing softwares Setup Eclipse Hello Android example Internal Details Dalvik VM AndroidManifest.xml R.java Hide Title Bar Activity and I...
Post a Comment
Read more

CLOUD WORKFLOW SCHEDULING WITH DEADLINE AND TIME SLOT ALGORITHM

CLOUD WORKFLOW SCHEDULING WITH DEADLINE AND TIME SLOT ALGORITHM Abstract Allocating service capacities in cloud computing is based on the assumption that they are unlimited and can be used at any time. However, available service capacities change with workload and cannot satisfy users’ requests at any time from the cloud provider’s perspective because cloud services can be shared by multiple tasks. Cloud service providers provide available time slots for new user’s requests based on available capacities. In this paper, we consider workflow scheduling with deadline and time slot availability in cloud computing. An iterated heuristic framework is presented for the problem under study which mainly consists of initial solution construction, improvement, and perturbation. Three initial solution construction strategies, two greedy- and fair-based improvement strategies and a perturbation strategy are proposed. Different strategies in the three phases result in several heuristics. ...
Post a Comment
Read more

MobiContext: A Context-aware Cloud-Based Venue Recommendation Framework

            MobiContext: A Context-aware Cloud-Based Venue Recommendation Framework ABSTRACT  In recent years, recommendation systems have seen significant evolution in the field of knowledge engineering. Most of the existing recommendation systems based their models on collaborative filtering approaches that make them simple to implement. However, performance of most of the existing collaborative filtering-based recommendation system suffers due to the challenges, such as: (a) cold start, (b) data sparseness, and (c) scalability. Moreover, recommendation problem is often characterized by the presence of many conflicting objectives or decision variables, such as users’ preferences and venue closeness. In this paper, we proposed MobiContext , a hybrid cloud-based Bi-Objective Recommendation Framework (BORF) for mobile social networks. The MobiContext utilizes multi-objective optimization techniques to generate personalized recommendat...
Post a Comment
Read more