Targeting embedded devices, Brodmann17 has developed a specialized deep learning technology for visual recognition aimed at edge-based artificial intelligence. Using patent-pending techniques, Brodmann17’s deep learning architecture generates smaller neural-networks that are faster and more accurate than any other network generated on the market. Through the collaboration with Brodmann17, licensees of the CEVA-XM platforms and their customers will be able to use Brodmann17’s deep learning object detection that achieves state of the art accuracy on the CEVA-XM at a rate of 100 frames per second. This equates to 170% better performance than the same software running on the NVIDIA Jetson TX2 AI Supercomputer. Comparing to the popular combination today of Faster-RCNN algorithm over NVIDIA TX2 it is an improvement of 20 times (2000%) in frames per second.
“Our patent-pending deep learning vision software is a perfect fit for the many CEVA customers and OEMs using CEVA-XM platforms to add intelligence to their devices,” said Adi Pinhas, CEO of Brodmann17. “This first-of-its-kind combination of hardware and software achieves real-time performance that supports multi-cameras with a single DSP or higher resolutions.”
“To truly maximize the performance and capabilities of AI in mass-market devices, it requires not just application-specific hardware like our CEVA-XM platforms, but also neural networks that are trained to be run efficiently on the edge embedded devices,” said Ilan Yona, vice president of the vision business unit at CEVA. “Brodmann17’s deep learning software provides the capability to create extremely light, accurate and flexible networks, trained from the ground up with embedded in mind. We’re delighted to partner with them and bring their unique capabilities to the CEVA-XM ecosystem.”
Brodmann17 will present and demonstrate their deep learning software together with the CEVA-XM4 imaging and vision platform at the CEVA Technology Symposium Series in China and Taiwan, October 23rd to October 27th, 2017. Visitors to the symposium can meet computer vision experts from CEVA and Brodmann17 at these events. For more information on how to register, please visit the Symposium website at http://events.ceva-dsp.com/
Brodmann17 develops first-in-class deep learning vision software for everyday devices. We partner with automotive, security, robotics, smartphones and other device manufactures to make consumer devices cloud-free and truly autonomous. Our proprietary deep learning algorithm technology increases overall speed and efficiency in processors, while eliminating the need for Graphic Processing Units (GPU)- making it the most lightweight deep learning vision solution on the market. The company was founded in 2016 and is backed by lool Ventures, SamsungNext and Sony Innovation Fund. Visit us at http://www.brodmann17.com and follow us on YouTube and LinkedIn.
About CEVA, Inc.
CEVA is the leading licensor of signal processing IP for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, industrial and IoT. Our ultra-low-power IPs for vision, audio, communications and connectivity include comprehensive DSP-based platforms for LTE/LTE-A/5G baseband processing in handsets, infrastructure and machine-to-machine devices, advanced imaging, computer vision and deep learning for any camera-enabled device, audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For connectivity, we offer the industry’s most widely adopted IPs for Bluetooth (low energy and dual mode), Wi-Fi (802.11 a/b/g/n/ac up to 4×4) and serial storage (SATA and SAS). Visit us at www.ceva-dsp.com and follow us on Twitter, YouTube and LinkedIn.