HVS-3127. Street Light Controlling with Image Processing using Raspberry pi.

₹14,500.00

The main purpose of this work is to build a vehicle presents based automatic street light control system using tensor flow and machine learning algorithm by using Raspberry pi and pi camera.

Category ECE Tags LCD, Pi Camera., Raspberry pi, STREET LIGHT

Automation has created a bigger hype in the electronics. The major reason for this hype is automation provides greater advantages like accuracy, energy conversation, reliability and more over the automated systems do not require any human attention. Any one of the requirements stated above demands for the design of an automated device. The energy conversation is very important in the current scenario and should be done to a maximum extent where ever it is possible. Energy can be effectively conserved if we can control the lights on the highways by glowing them only when there is traffic on the road, and this is all most impossible to detect the arrival of a vehicle manually without the presence of light. So in this situation we should think about a system which is capable of sensing the arrival of vehicle and ON the lights and turn OFF as soon as the vehicle leaves the area. The main purpose of this work is to build a vehicle presents based automatic street light control system using tensor flow and machine learning algorithm by using Raspberry pi and pi camera. The device which is able to perform the task is a Raspberry Pi3 processor. Here, pi camera, LCD, street lights along with transistor are interfaced to Raspberry pi. Pi camera captures the images of the vehicles and processes this image to the raspberry pi and raspberry pi classified this image using tensor flow, machine learning algorithm. Based on the vehicle presents this system turns on/off the street lights. The status of the project will display on LCD. To perform this task, Raspberry Pi3 processor is programmed using embedded ‘Linux’.

Objectives:

To develop a vehicle-presence-based automatic street light control system using Raspberry Pi and Pi Camera.
To capture and process vehicle images using the Pi Camera.
To detect and classify vehicles using TensorFlow and machine learning algorithms.
To automatically turn ON/OFF the street lights based on vehicle presence.
To display the vehicle detection and street light status on an LCD.
To implement the system using Raspberry Pi 3 with embedded Linux for intelligent and automatic operation.

The major building blocks of this project are:-