The following Matlab project contains the source code and Matlab examples used for vehicle number plate recognition. It is a vehicle's number/license plate recognition algorithm based on the very elementary technique of Templates matching. Learn how to detect vehicles license plates without heavy Machine Learning techniques, just. Download spanduk sekolah gratis file cdr disini images of. For those not familiar with this library, SOD is an open source, modern. Just compile the C file with the SOD sources to generate the executable.

To program the Raspberry Pi ('refer to as the module') to capture through a raspberry camera ([url removed, login to view]) license plate. We have a LPR (License Plate Recognition) engine based on C++ with OpenCV to integrate. The camera will capture the vehicle number automaticly when the vehicle is close enough (=setting, but minimal 15 pixels high and max 60 pixels). The recognized license plate has to be send through http/socket with a XML based interface (specs ready). Deliverable: Source code and detailed instructions on setup and recompilation.

Project timeline: 20 days upon awarded. Steps in testing project delivery: 1.

Connect the raspberry pi with the raspbery Pi camera ([url removed, login to view]) 2. Start project application on the raspberry. Hold a License plate for the camera and it automaticly will capture the image and send the image to the integrated OPENCV LPR engine (you'll recieve the source C++ at project acceptance). Send the LPR plate result and image over the XML interface (see PDF in attach) to other [url removed, login to view] must be possible to choose to send the plate result only or result with image. If ok, I pay.

And we recieve the source code. We expect an installer for the raspberry/Linux + instruction how to test.

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