Road Sign Recognition System using Raspberry Pi

11,210.00

Accident Avoidance By Using Road Sign Recognition System

100 in stock

SKU: Accident Avoidance - Road Sign Recognition System Category:

Description

Synopsis :

               Traffic Sign Recognition (TSR) systems employ vehicle mounted cameras that identify traffic signs while driving on the road. Typically, these systems recognize speed limit signs, stop signs and warning signs such as pedestrian crossing, railroad crossing etc. Their primary function is to inform the driver of recent traffic signs that may have been missed due to distraction or inattentiveness. A camera scans the roadside for signs. Real-time image processing software identifies, interprets and displays them on a panel on the vehicle dashboard. TSR systems perform the following basic functions. This project runs on Raspberry Pi platform.

               The Raspberry Pi is a credit card sized single computer or SoC uses ARM1176JZF-S core. System on a Chip, is a method of placing all necessary electronics for running a computer on a single chip. It needs an Operating system to start up. SD/MMC card will acts as a bootable hard disk.

Existing System :

  • No camera based signal detection
  • No indicator
  • With controller application

Proposed System :

            In our proposed   systems recognize speed limit signs, stop signs and warning signs such as pedestrian crossing, railroad crossing etc along with Raspberry pi.

Advantages :

  • Image signal detection
  • Indicating through display

Block Diagram : 

                     Accident-Avoidance By Using Road Sign Recognition System

Block Diagram Explanation :

            In this block diagram the whole system is controlled by Arm11  processor  and  this  processor  is  implemented  on Raspberry  Pi  Board. So this board is connected with monitor, camera, SD card and IP connected through LAN. Those all components are connected by USB adaptors. Raspberry pi  is the key element in processing module which keeps on monitors road signs by interfacing USB camera in that applicable area. First step is image detection then recognition. The output of the detection stage is a list of image bounding boxes, each containing a yet unrecognized traffic sign.

Hardware :

  • Raspberry Pi
  • Camera
  • SD card
  • Display unit
  • Motor speed rotation

Software :

  • Raspbian
  • Matlab
  • Language – python , Embedded

Applications : 

  • Electrical applications
  • Industrial applications
  • RTOS applications

 

Additional information

Weight1.000000 kg

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