500MHz DSP, 1000MIPS 

32Mb SPI Flash ROM

256Mb SDRAM

RTC (milliseconds), Timer resolution in 10 nanoseconds

Power consumption: active =100mW & Sleep = 1mW

BSN connector

1.3 Megapixel Image Sensor with up to 30 fps

Lantronix WLAN 802.11g

• 500MHz DSP , 64Mb SPI Flash ROM, 512Mb SDRAM
• RTC (milliseconds), Timer resolution in 10 nanoseconds
• Power consumption: active =100mW & Sleep = 1mW
• BSN connector, 1.3 Megapixel Image Sensor with up to 30 fps
• 8 GPIO,  2 UART, 1 SPI, 1 I2C,
• 8 16bit A/D , 2 12Bit 10MHz D/A
• Ethernet, USB
• Debug LEDS and switches 
• Lantronix WLAN 802.11g
• LCD, micro-SD (2GB)  

The platform is based on uClinux -http://blackfin.uclinux.org provides an easy-to-use platform for rapid development of vision and general sensor network applications.

• Written in C language under GPL Open Source
• Compiled using GNU Blackfin uClinux tool-chains
• Easily and remotely firmware updated
• Simple API to access specialised features of the VSN
• Easy image capture and processing on-board
• Standardised mechanism for specifying and transmitting application-specific data in a compact form.
• Built-in interface to BSN nodes - http://vip.doc.ic.ac.uk/bsn/a1892.html for hybrid wireless applications, including TinyOS message support
• Automatic inter-node time synchronisation and time stamping
• On-board Python interpreter with bindings to all of the API for on-node rapid development
• Built on top of Linux, with full access to standard libraries and TCP/IP networking capabilities