Alphabet recognition prototype

Alphabet recognition prototype

In this project we try to learn a simple neural network how to recognize noisy alphabet charachters. Matlab is used to realize this project.

Artificial Intelligence

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Using Matlab neural network enables us to create/learn/use NNs in different levels of complexity. This project uses a simple 2735 matrix to define 27 different alphabet charachters, nevertheless one can define a more accurate alphabet list like 27200 (200 pixels for each charachter). to make use of this project easier input is asked from matlab command line it could be a world containing any number of chars. the algorithm makes the input noisy in order to simulate noisy car plate pictures then these are fed as input to a neural network. After NN is done with recogtnition outputs are shown to another window.

you can see/download the code on my Github. In the links down you'll find links of OpenALPR, which is a more sophisticated version of this project.

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Link of the project

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Sahil S. created project MapTrace

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There are so many cases of now days where we come to know that there some people are selling or consuming drugs nearby , but some time police remember's that place and some times not and which is not very good thing , and even it will not make easy to give training to new police officers which is not good .


We have created a app which can analyze all these thing , this app take longitude and latitude value from current location and also ask for name of Drug which is being selling or consuming by suspect and mergers all these datas to heat map and save it to firebase and generates Heat Maps from that .. which is very help full for us..

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SHIVAM K. updated status

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Hello,I am still working on Android development program and web development also. I just want to lean about amchine learnig and AI ,to explore its use in whatever the things are around us.

Medium soubhik 20das

Soubhik D. created project Presentify-let's know where we stand

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Presentify-let's know where we stand

Suppose we're speaking in a hall before a hige audience but are unable to know whether or not the audience is interested so that we can mix up with lightning talks, motivational stories, quotes, etc. At that time, our talk starts becoming boring and we start getting the tag of 'unwanted speaker'. This will never happen if we have the data, specifically data of dynamic and running time users' rating of the speakers. There just needs to be a few Realsense Cameras placed optimally in the hall and a person/bot with AR and or VR headset tracks the user's rating collectively (heatmap). Realsense cameras and the headset are connected. This promises to make every talk in the world interesting after gathering enough data.

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Sahil S. updated status

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Sahil Singh

Iam currently working on a life saving IoT device which helps diabetic type-1 patients to automatically regulate their insulin levels. And also gives notification on high or low blood sugar..

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Pedro Gomes

Recife Metropolitan Area, State of Pernambuco, Brazil