For this new idea I have went in deep into the book Laws of Simplicity by john maeda. This a face detection ideas that i came up using the (open CV library). I at the beginning i had a tracking the full body movement (thats from head to toe) but didn’t work out too well as the user would have to move pretty far away from the camera in-order to get their full frame. this was going to cause a slight problem as the user would not be able to interact very much of what was going on on the screen because they would be too far away from the effect/Action.
Therefore i came to a conclusion that i need to have just the face tracking in the space. below it show that i have brainstorm on three different ideas that can can be carried out by the face recognition. I feel that this ideas is the best so far as more than one audience can interact within the space. and wouldn’t have to think about it too long what what was happening as soon as they step in-front of the camera it would send them back the message straight away.
this is one of the strongest ideas that i came up with during the on going process. what i have done here is that i have disabled (commented out) the background in the’ void draw’ section, and also commented out the ‘image(cam *** ); which stopped that camera picking up images/video and draw where the face was locating around the camera, will test this with more users probably 3-4 users. i also Add strokeWeight to (1), stroke to (9,227,32); and fill (140,196, 156); which has given a nice texture of the line green.
As u can see that the boxes has scattered around in the canvas which was drawn at the size of (1024, 768). and the boxes varies in sizes according to how close the user is to the camera. for example as the user moves further back from the camera the smaller the box gets. what i also want is for the users face to be in the box and as they move further away from the box get and so does their face.