Road Sign Recognition System using Raspberry Pi
₹11,210.00
Accident Avoidance By Using Road Sign Recognition System
100 in stock
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 :
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
Weight | 1.000000 kg |
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