Arduino UNO Lab Analysis

Superior Essays
This section describes the algorithm used for traffic light and road sign detection. It also provides the hardware components used to provide output. In the proposed system, initially input image was obtained in RGB form and converted to gray scale and finally to binary images. This said to be pre-processing of images. Then filtering was performed for removal of noise from images. Color of traffic light was detected based on threshold values. Hough transform was done for the detection of shape and based on the medval the road signs are classified. Fig 1 represents the work flow of the proposed system.
3.1 Pre-processing of images
Before extracting information from the image, it is necessary to apply some pre-processing procedures. The first step is to convert RGB image to gray scale
…show more content…
Fig 2 Block Diagram of proposed system
3.7 Arduino UNO
Arduino is an open source platform mainly used for electronic projects. Arduino can easily interact with LEDs, motors, camera, speakers and even with the smartphones. So it is a most preferred development platform for all the applications. The arduino provides all the controller of ATmega from ATMEL company.
Arduino UNO is great and most preferred choice for the development. It consists of 14 digital I/O pins, 6 analog inputs, a usb connection, a power jack and a reset button. The Arduino IDE provides a software library, which provides procedure for common input and output. Arduino also provides support for both C/C++ languages.
3.8 Voice module
Arp R33 voice board is provided for the voice output. Arp provides two modules: dual oscilloscope and voltage controlled voice module. The main VCO board of Arp R33 provides a 1.5kohm resistor. It provides eight channels and can support up to eight voice output. The voice can be recorded up to one minute and it can be easily interfaced with Arduino. Hence, the voice module can easily implemented and output can be

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