CM-IR2K Image Recognition Board | Artificial Vision





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CM-IR2K Image Recognition Board

The CM-IR2K Image Recognition Board offers developers and OEMs a comprehensive platform to evaluate the CogniMem neural network for real-time video recognition applications. The board features a Micron CMOS sensor, 2 CogniMem chips, each 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.

CM-IR2K Image Recognition Board

Purchase The
CM-IR2K
Image Recognition Board

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
	55×66mm