In this research detection and differentiation between multiple objects is done in real time. Images were captured using SainSmart wide angle camera and image processing was done using Raspberry Pi 3 Model B. Optimization was accomplished by increasing the number of threads being managed within the algorithm. In this paper the image processing algorithm used to detect and differentiate between multiple colored targets is described. This algorithm involves the development of software which captures and filters the color data contained within an image.


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    Title :

    Multiple Objects Detection using HSV


    Contributors:


    Publication date :

    2018-07-01


    Size :

    290885 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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