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B. Goal of Research<br />
To review break down and think about various procedures identified with vehicle, path<br />
and mischance discovery for movement reconnaissance. To test the different systems on the<br />
proposed blend of equipment and check the yield as indicated by various parameters.<br />
Determination of method for steps portrayed in Frame handling diagram, the overview or<br />
tried consequences of analyses. To create framework with those chose strategies/calculation<br />
for identifying number, path and mischance of vehicles with help of information video<br />
caught from camera at particular required parameter. To take a stab at actualizing and testing,<br />
this framework in live condition for vehicle location.<br />
Hardware:-<br />
1) Raspberry pi<br />
Raspberry pi is a little measured PC. It has an ARM calculable processor of 1.2 GHZ and<br />
slam of 1 Gigabyte. It has different working framework as alternative to create different IoT<br />
ventures. Raspberry pi likewise contains GPIO pins which are additionally programmable for<br />
different tasks. Because of little size can without much of a stretch be fit for our proposed<br />
framework.<br />
2) pi Camera<br />
Pi camera is a camera module that can be utilized with raspberry pi. There is opening in<br />
Raspberry pi to straightforwardly associate the pi camera. Pi camera gives input video in<br />
determination of 640, 720, or 1080 HD. Henceforth it can be effortlessly utilized for our<br />
motivation. Diverse elements like shine, power can be balanced for Pi camera.<br />
3) Battery as power source<br />
4) Internet dongle for remote access<br />
Programming tools:-<br />
5) Python<br />
Python is the authority bolstered dialect for Raspberry pi. There is additionally wide<br />
network taking a shot at Raspberry and python. The Raspberry pi has been firmly upheld by<br />
the python programming. Subsequently we work with Python IDE.<br />
6) Opencv (Intel open source library)<br />
OpenCV is an open source library for video and picture preparing and it is exceptionally<br />
productive and powerful for different activities identified with our proposed framework.<br />
OpenCV is lightweight as far as preparing.<br />
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