APPLICATIONS

EMBEDDED VISION AND ROBOTICS IN INDUSTRIAL AND AUTOMOTIVE MARKETS

We are focusing on embedded- and computer vision and robotics in the industrial (Industry 4.0, IoT) and automotive markets to support new features such as Image Classification, Object Recognition, Object Tracking, Face Recognition and others that deep learning neural networks can bring to many of manufacturing, automation control and robotics applications. Using e.g. a cost optimized Xilinx Zynq device and a pre-trained CNN running on our implemented AIScale Neural Network Engine IP, all integretad in a high quality Smart Camera, can help improve reliability, lead to higher quality and yield.

OUR CUSTOMERS

KNOW CAMERA SYSTEMS AND IMAGE PROCESSING OR SIMPLY LOOK FOR AN OPTIMIZED ENGINE FOR THEIR NEURAL NETWORKS

Our clients know how to build a machine- or computer vision system. They are in image processing algorithms, video analytics and know how to create a high-end camera system choosing the right software and components such as lenses, image sensors, housing, semiconductor components and more. Now they are looking for a technology enabler to add machine learning tasks, a partner who focuses exactly on this piece of CNN hardware IP that enables them to get started with e.g. a Image Recognition feature immediately by integrating one true re-configurable, easy-to-use hardware with small footprint.

AISCALE CNN ACCELERATOR

SMART AND EASY TECHNOLOGY ENABLER USINF ALL-ZERO-SKIPPING TECHNOLOGY

Designed by our team with 10+ years experience in Machine Learning Algorithms, FPGA- and SoC design, our hard-wired, easy-to-use and very small AIScale CNN Accelerator is designed to support all different types of CNN with only one underlaying architecture. Prune, compress and process the CNN with our All-Zero-Skipping Technology. Then simply initialize and run your pre-trained network with two functions. No need to generate different hardware architectures or special SW programming. AIScale CNN accelerator has a very small footprint based on coarse-grained, re-configurable computing principle for cost optimized, highly efficient, flexible and scalable FPGA, eFPGA and SoC based solutions.

VIDEO – Kortiq Small and Efficient CNN Accelerator: Powered by Xilinx

Kortiq provides an easy to use, scalable and small form factor CNN accelerator. The device supports all types of CNN and dynamically accelerates different layer types found in the network. The Xilinx Zynq family of SoCs and MPSoCs help Kortiq devices achieve targeted performance levels and flexibility, while being cost-effective.

AIScale CC (MAC)

FIRST: INITIALIZE RECONFIGURABLE STRUCTURE

The Re-configurable Compute Core is the heart of our AI Scale accelerator and provides exceeding flexibility and scalability. The small footprint is based on coarse-grained true re-configurable computing principle and architecture.

AIScale CC supports and processes Convolutional-, Pooling-, Adding- and Fully-Connected layers. Based on your needs in size, frames per second or accuracy the accelerator can be parameterized from very few CC to several 100 CC.

Make advantage of a hardwired, optimized network with opportunity to switch between different CNN solutions based on customers needs using pre-trained network parameters. It can be structured for low latency and custom memory allocations.

DeepCompressor pruning library

DeepTranslator tool

DeepEstimator tool

AIScale CNN Hardware Accelerator IP Core

Up to 3-10x compression of original CNN network

Automatic optimal fixed-point number format selection

Fast estimation of required AIScale core compute  resources

Xilinx Vivado IP Encryption

Colleague Classification @ 27fps with AIScale Hardware Accelerator IP using 32 Compute Cores @ 120 MHz with our KortiqY3 network.

This can e.g. be implemented in a cost optimized Zynq device.