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RASPBERRY PI SMART HOME CONTROL INSTALL
RASPBERRY PI SMART HOME CONTROL SERIAL
RASPBERRY PI SMART HOME CONTROL CODE
RASPBERRY PI SMART HOME CONTROL BLUETOOTH
RASPBERRY PI SMART HOME CONTROL DOWNLOAD

minNeighbours specifies how many neighbours each candidate rectangle should have to retain it.

tectMultiScale() function is used to detect faces in the live video stream and scaleFactor specifies how much the image size is reduced with each scale.

faseCascade is trained function to detect faces as it contains xml file of frontal faces.Numpy is used to convert the image into form of matrix. In the project the numerous images of front face are stored in form of XML file and while detection, the classifier is test upon this file, the file is provided in the Github link. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images. What is Haar Cascade? It is a machine learning object detection algorithm used to identify objects in an image or video and based on the concept of features proposed by Paul Viola and Michael Jones in their paper “Rapid Object Detection using a Boosted Cascade of Simple Features” in 2001.OpenCV can take a lot of space on the memory card, so make sure the card is big enough.

RASPBERRY PI SMART HOME CONTROL INSTALL

Install OpenCV environment on Raspberry Pi.

RASPBERRY PI SMART HOME CONTROL CODE

This code reads the activity of the PIR motion sensor and any detected motion is recorded and ALARM function is called as the course of action. The PIR motion sensor is connected to GPIO of raspberry pi and any motion detected is read by raspberry pi.Ĭonnection between Motion Sensor and Raspberry Pi:

RASPBERRY PI SMART HOME CONTROL DOWNLOAD

ģ) Download and install Arduino IDE to work with Arduino. Ģ) Setup the Particle Argon device using the steps provided on Particle website.

If the face is of unknown person, the emails are sent to the user using SMTP library.ġ) Download and Install Raspbian OS on Raspberry Pi using the link.

If the face is known, the led turns on permanently, this is done to welcome user home.

If there is a person in the premises, the machine learning algorithm first detects the face and the recognizer i.e., trained model with dataset recognizes the face of the person.

The camera captures the video of any activity in the premises.

When the motion is detected, a signal is sent to the Particle Argon using MQTT which triggers an email to the user using IFTTT and LED turns on few secs in the prototype, this is the component to address one of the drawbacks of the system, that is capturing video in dark, so if motion is detected, the lights inside the premises turn on, thus enabling the functioning of the camera, and after few seconds led turns off in the prototype.

The system detects the motion in the premises and the video is captured inside the premises concurrently.

Meets the Feather specification in dimensions and pinoutġ1) MQTT connection between Raspberry Pi and Argon.

Two U.FL connectors for external antennas (one for Bluetooth, another for Wi-Fi).

RASPBERRY PI SMART HOME CONTROL BLUETOOTH

On-board 2.4GHz PCB antenna for Bluetooth (does not support Wi-Fi).Integrated Li-Po charging and battery connector.Flash Memory: 32 KB (ATmega328) of which 0.5 KB used by bootloader.Digital I/O Pins: 14 (of which 6 provide PWM output).

RASPBERRY PI SMART HOME CONTROL SERIAL

15-pin MIPI Camera Serial Interface – Plugs Directly into the Raspberry Pi Board.

Operating temperature: 0 – 50 degrees C ambient.Power over Ethernet (PoE) enabled (requires separate PoE HAT).Micro-SD card slot for loading operating system and data storage.4-pole stereo audio and composite video port.Raspberry Pi standard 40 pin GPIO header.2.4 GHz and 5.0 GHz IEEE 802.11ac wireless, Bluetooth 5.0, BLE.Broadcom BCM2711, Quad core Cortex-A72 (ARM v8) 64-bit SoC 1.5GHz.This project also touches a bit on integration of home security and home automation into a single working system. Even though there are a lot of security systems that are present in the market but most involve the use of motion sensors and CCTV camera separately in the premises which incurs extra cost on the user and time wastage in case of checking CCTV feed if any unwanted motion is detected inside the premises.