1. ROHIT BANERJEE DEBRAJ BOSE KEVIN KASSING KANUPRIYA TAVRI EyePoint 1

2. How and Why EyePoint 2 Concept EyePoint will allow a person to take a picture of the scene they are looking at, without being attached to their camera. This is achieved using head motion tracking to determine the user’s field of view, and accordingly adjusting the yaw and pitch of the camera mount to frame the image of the scene. Motivation Photographers today are tied to their cameras; even when it is possible to snap pictures from afar with a remote, it is still cumbersome to reposition the camera. Some locations are too dangerous for photographers to linger, and some photographic opportunities would be lost because of the photographer’s presence. With EyePoint, photographers will be able to remotely survey their scene and control the camera with simple gestures.

3. Competitors EyePoint 3 RODEON VR Head Introduced: 2004 2500 € and up Orion TeleTrack Introduced: 2007 $300 Gigapan Introduced: 2007 $300 There are existing systems to capture images at varying angles Standalone systems Use the camera you already own Mostly work with predefined parameters No existing systems are integrated with head tracking Existing head tracking systems are very specialized

4. Requirements EyePoint 4 Functional  Take pictures based on where user is looking  Camera mount rotates with 2 degrees of freedom  Facilitate aiming camera at the object with user’s head motion  Images are captured and stored based on wireless user input  User’s gestures actuate shutter and zoom Non-functional:  Wireless freedom; no power cables, no tether to user  Timing: Real-time control with response within 5 seconds

5. Technical Details EyePoint 5 32 bit microcontrollerStepper motorsAccelerometer Positional sensors8 bit microcontrollerRF transceiverHead motion tracking Motorized camera tracking LibPTP2