Join Cadence at the Concar Expo 2018 in booth 60, where we are presenting an ADAS reference platform featuring an SoC with four Cadence® Tensilica® Vision P6 DSPs. The SoC achieves high-performance processing and high data throughput while keeping power consumption to a minimum. This is especially important for image-processing applications in automotive, computer vision, and neural networks applications.
See our demos on:
AI for pedestrian recognition
The On-Device Artificial Intelligence (AI) demonstration of pedestrian recognition uses the Tensilica Vision P6 DSP and TinyYOLO (You Only Look Once) algorithm. The algorithm is based on a neural network and is trained in the recognition of persons. TinyYOLO is ideal for applications that require fast, energy-efficient object detection (including localization) for multiple object categories.
AI for image classification and object recognition
Software developers use environments such as Caffe or TensorFlow in the design of neural networks for image classification. The sometimes very complex networks then have to be manually ported to a hardware platform and optimized—a challenging and time-consuming task. For this, Cadence has developed the Xtensa® Neural Network Compiler (XNNC), which shortens the time required to convert the neural network into code for a Tensilica AI DSP, as an embedded (target) processor, from months to just days. An XNNC demonstration will show the implementation of a Caffe or TensorFlow-trained Google Inception V3 and MobileNet. The XNNC converts them into a highly optimized fixed-point neural network code for the Tensilica Vision DSPs.
Please find below a promotion code for your free 2-day exhibition ticket. Code: “EXHB-INVIT-CCE18”
We look forward to meeting with you in Berlin!