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Recognetics provides a powerful, high speed, low power, small size

  and low cost solution for pattern recognition
 
 
Products
 
  CM-1K Neural Network Chip  
 

CM-1KIT Board

 
  CM-IR1K Image Recognition Board  
  CM-EB1K Pattern Recognition Board  
  CM-E2K Neuron Expansion Board  
  Product Selection Guide  
 

 

 
  CM-IR1K Image Recognition Board
 
    The CM-IR1K Image Recognition Board offers developers and OEMs a comprehensive platform to evaluate the CogniMem neural network for image recognition applications. The board features a Micron CMOS sensor, a CogniMem chip with 1024 neurons, an Actel FPGA accessible to programmers and a Flash memory to save the application settings and knowledge. User I/Os are implemented on the board in a flexible variety of configurations, including an I2C serial bus, an RS232 bus and 8 general purpose I/Os brought to header pins.
 

Specifications

 
 

Micron MT9V022 video sensor

Monochrome, Progressive scan

752x480 pixels

60 frames per second

Global shutter

External trigger input
High-speed Recognition engine
Internal feature extraction from a region of
interes

Single region per frame as small as
  16x16 pixels and as large as a full frame
Output category with the best match in 11
  us after receipt of the last vector data

I/O buses

Miniature USB Hi Speed (480 Mbps)
  I2C serial interface (100-400 kbit)

Serial output (115,200 baud)

8 parallel outputs (LVTTL 16mA)
Save project to Flash memory
 

Neural network

Classify pattern vectors of up to 256 bytes
Up to 32768 categories

Classification status in 1 clock cycle
  (status= identified, uncertain or unknown)

Category readout cycle in 36 clock cycle
  per firing neuron from smallest distance
  and up (equil to 3 microsec at 27 Mhz)

Built-in model generator

1024 neurons working in paralell

Expandable through neuron expansion
  modules

FPGA Program

Optional core modules (input and output ,
 
data conditioning, signature extraction
 
decision logic, etc.

Mechanical and Electrical

3.3v @ <250 mA
55กม66mm
 

Ordering information

 

CM-IR1K (include one CM-E1K module, Reference Design, Verilog example design,

  CogniMem development library, documentation and Easy Trainer software)

Optional additional: CM-E2K expansion module with 2048 neurons.

  For more information, you can download some documentations from here.