Synopsys has announced the launch of its EV52 and EV54 vision processors from the DesignWare EV family of processors along with availability details. These processors are fully programmable and configurable vision processor IP cores that combine the flexibility of software solutions with the low cost and low power consumption of dedicated hardware. TheDesignWareEV52 and EV54 Processors are scheduled to be available in May 2015.
- New DesignWare EV Processor family dramatically increases accuracy and performance for embedded vision applications, including video surveillance, gesture recognition and object detection.
- Multicore architecture optimized for vision applications delivers over 1000 GOPS/Watt with5X better power efficiency than other available vision processors
- Comprehensive software programming environment based on existing and emerging embedded vision standards including OpenCV and OpenVX, as well as Synopsys’ MetaWare Development Toolkit.
“The ability of embedded systems to extract meaning from visual inputs is becoming increasingly important in a broad range of products including security equipment, gamingdevices and automobiles. This is driving demand for more performance- and power-efficient vision processing capabilities,” said Jeff Bier, founder of the Embedded Vision Alliance. “Specialized processors like the Synopsys’ Design WareEV Processors help designers attain the performance they need for their vision applications at levels of power consumption suitable for portable devices.”
“Embedded vision is driving innovation in a broad spectrum of applications, from surveillance to consumer and gaming devices,” said John Koeter, vice president of marketing for IP and prototyping at Synopsys. “Synopsys’new DesignWareEV Processor Family delivers state-of-the-art object detection accuracy with 5X better power efficiency, along with comprehensive vision libraries and a robust software programming environment. This combination enables design teams to integrate embedded vision functionality into more systems faster with much lower power consumption than existing solutions.”