WEEK 14- Flow chart and Blog Diagram of project

OBJECTIVE:

- To review my flowchart and blog diagram of project.

CONTENT & PROCEDURE:

-      First the project starts with running the coding at python. The Sound sensor and PIR sensor detect if something suspicious occur in the barn. If Sound sensor detects loud noise around 95- 112 dB or PIR sensor detects movement within 4 meters, it will send signal to Raspberry pi and Pi camera to capture the image of the situation. Then, the user will get alert message that contain image captured by Pi camera from email.  

Description:

Input

To determine the situation of the animal in danger, we use the Sound Sensor and PIR Sensor.  The sound sensor is one type of module used to notice the sound. Generally, this module is used to detect the intensity of sound. PIR sensor is electronic sensor that measures infrared (IR) light radiating from objects in its field of view. They are most often used in PIR-based motion detectors. Sound sensor function is to detect a loud noise made by a goat when something happens while PIR sensor is to detect motion if there is an intruder. For application both sensor in this project to detect and measure the rate of sound and movement occurring at the barn.

 

Process

This system using Raspberry Pi 3b+ with Pi camera. The Raspberry Pi is a very cheap computer that runs Linux, but it also provides a set of GPIO (general purpose input/output) pins that allow you to control electronic components for physical computing and explore the Internet of Things (IoT). The function of Raspberry Pi in this project to sending image in jpeg file to email user that generate from Pi camera if Sound sensor and PIR sensor produce high signal.

Output

In this project, phone is our output that receive image from email if the sensor detects suspicious situation occur at the barn.  

  

CONCLUSION:

- As a conclusion, this flowchart and blog diagram review about how my project works.