iSecurity Mid-Semester Presentation Draft September 26, 2012

Team Members Jonathan Lalo Read Sprabery Brandon Dahler John Gazzini Dr. Yogi Dandass Computer Engineer Team Leader Image comparision Wifi Establisment Software Engineer Image format translation Image Transmission Server programming Software Engineer Server programming Image comparison Image Storage Computer Engineer iPhone application Image comparison

Outline Problem Solution System Overview Constraints ‒ Technical ‒ Practical Approach & Part Choice Progress Timeline

Problem A need exists to monitor homes while away at various locations. Devices that address this are expensive and difficult to install, making them inaccessible to the majority of potential users.

Solution iSecurity: Camera & WiFi device configured through iPhone application Notifications sent directly to the iPhone Device requires home wireless internet connection Minimal user interaction required for setup

System Overview

Technical Design Constraints Image Processing: 10 frames per second, motion detection between frames. Wifi: Support for WPA Personal, WPA2 Personal, and WEP. Power: Single 120VAC Connection (from standard wall socket). Storage: Still frames stored on removable SD card when motion is detected. Range: Motion must be detectable at 40ft.

Image Processing Performance Frame Analyzation in under 75ms ‒ Comparison between frames ‒ Storage ‒ Transmission Wireless Standards Basic requirements for Wi-Fi module ‒ WEP, WPA Personal, and WPA2 Personal ‒ Ad-hoc mode available for configuration

Storage Removable SD Card ‒ Adequate size and speed Power 120V AC – Included adapter Range Motion detectable at 40 feet ‒ Algorithm should be adjustable by the consumer

Practical Constraints

Economic IZON - Close competitor [1] ‒ $130 price point, similar feature set ‒ Includes audio ‒ Poor marketing iSecurity ‒ $99 price point ‒ $49.99 manufacturing cost ‒ Competitive with ability to profit

Sustainability Device relies on external server ‒ Product Takes Off  Load problems  Need to be scalable and extensible for new products ‒ Product fails / Business Fails  Server still needs to be maintained, possibly downgraded  Continued support for existing products, possibly with degraded performance

Part Comparison and Peripheral Optimization

Wi-Fi Module Initially ran across three choices ‒ Sagrad Inc.: SG B-5.0-H : $32 [2] ‒ MicroChip: RN-171 : $29 [3] ‒ MicroChip: MRF24WB0MA/MB : $24 [4] Each module supports WPA2 TCP/IP stack is + library included It came down to cost ‒ MRF24 – cheapest at $24

Camera Hardest to figure out ‒ Different packaging, pin count, and output types ‒ Not many choices due to our ability to use it Candidates ‒ OV10633-C96A : $13 [5]  96-pin CLGA  YCbCr output ‒ MT9T031C12STC : $20 [6]  48-pin CLCC  Bayer RGB

Microcontroller BlackFin – ($8 to $30) [7] ‒ Established code for jpeg/mjpeg ‒ Fast (400Mhz) ‒ Dual core ‒ Large # of pins ( ) ‒ Custom board, with reflow soldering required PIC – ($5 to $10) ‒ Tool familiarity ‒ Not fast enough

Microcontroller JPEG2000 Encoder – ($37) ‒ YCbCr input ‒ Handles all encoding ‒ Expensive Propeller – ($10) [8] ‒ 8 cores ‒ Beta GCC compiler ‒ Lack of familiar tools ‒ Cheapest development board ‒ Massively parallel

New Hardware Approach Raspberry Pi [9] ‒ 256 MB RAM ‒ 700 Mhz ARM Processor ‒ Linux Operating System ‒ Cheap ($35) ‒ Reduced development time ‒ Options for hardware generalized and expanded

Wi-Fi Module Edimax EW-7811Un [10] ‒ Supports aspects we were looking for earlier ‒ Small size ‒ Cheap ($10) ‒ Compatible with Raspberry Pi

Camera Any known Linux-compatible camera Rosewill RCM-816V [11] ‒ $16 ‒ 1.3M pixels ‒ USB 2.0 ‒ UVC compliant, so Linux compatible

Server Technologies Windows Enterprise vs. Open Source Familiarity with Windows server technologies ‒ ASP.NET ‒ Windows Server access for startup company Many other options still open with Windows ‒ Ruby on Rails ‒ PHP

Progress Part choice complete Bayer Image Research ‒ Software written to demo/test encoding and interpolation Code Sharing (SVN) established Server code base setup

Timeline September 26 Order Parts October 7 Save pictures to SD card, begin motion detection, basic accounts on server November 14 Detect motion on device, broker connections via server, send pictures over Wi-Fi November 30 iPhone app full functionality, Server functionality December 1 Begin optimization

References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11]

Questions