SEED-EYE is an advanced multimedia Wireless Sensor Network node developed by our group and Evidence Srl. 

The main features of the device are:

  • MCU: The Microchip PIC32MX795F512L adopted is an extremely powerful microcontroller that by implementing a MIPS architecture can provide up-to 80 MIPS of computational power. The MCU implements in hardware SPI, I2C, UART, CAN and USB communication protocols easing the connection with external units. Memory can be fully addressable by DMA controllers and IEEE802.3 MAC layer is implemented on chip.
  • IEEE802.15.4 interface. A Microchip MRF24J40MB transceiver is used for accessing the IEEE802.15.4 channel. This transceiver was chosen for its extremely high coverage (up to 100m in open space at max power) and for its high configurability. 
  • IEEE802.3 interface. The MCU implements the IEEE802.3 MAC layer and by using an external SMSC8720 PHY adapter the board can communicate with other units or PCs.
  • USB interface. A microUSB-A connector is directly connected to the MCU allowing the device to operate in Master or Slave Mode.
  • Connectors. SEEDEYE exports all the MCU pins that are not used by peripherals. Designers can access SPI, I2C, CAN, UART ports, Analogic and Generic pins, Single and multiple point of access Interrupts. Using these expansion slots we were able to connect various cameras, luminosity sensors, barometric sensors and CPLDs.
  • DC/DC input power conversion. The board can be powered either by standard power jack or by USB. Power efficiency of the board is extremely high and it is possibleto unpower various components of the board changing the status of some MCU pins. 

SEED-EYE has been widely used in IPERMOB where, in particular, by equipping devices with cameras it was possible to extract ITS related information. A new component based on the OmniVision 9650 CMOS chip is being integrated by Evidence. The Seed-Eye board can be bought from the Evidence following this link:

In our research activities we adopted SEED-EYE for:

  • Characterizing IEE802.15.4 channel properties (Packet Loss Rate and Bit Error Rate in open and closed environments)
  • Running Image Identification algorithms based on Neural Networks
  • Designing minimal bandwidth streaming of Audio signals and Images over IEEE802.15.4
  • Interfacing RFID semipassive tags
  • IEEE802.15.4 packet sniffer for Android Devices

 NEW!!! A set of Application Notes are available on this web site, on the Software/Seed-Eye Apps content (just click on the Software drop-down menu and select the application of your interest).

img seedeye

Credits: Bernardo Dal Seno, Marco Ghibaudi, and Salvatore Marrapese

This board has been partially funded by the Tuscan Exectutive Board within the IPERMOB project: