Super-resolution
Creating clearer, higher resolution images from low quality images.
A Complete Toolbox for Edge AI Development
Through COLIGO, our edge AI platform, HACARUS provides customers with a wide range of applications and services for tailor-made development, including implementations for IoT, FPGA and other edge use cases.
Our technology works with minimal effort for set-up and unlike deep learning based solutions, COLIGO does not need an external training cycle or manual installation of pre-trained models. COLIGO supports both time series data and image data, and training & inference runs within the chip – without the need for external cloud connection.
Allows AI integration with existing facilities
Standalone learning capability
without a network connectionField ready upon purchase
Related Cases for Industrial Applications
Data loss repair
Repairing images to their original state, even for cases of 50% data loss.
Visual Inspection
Identifying anomalies and defects based only on small training data.
Applications for supported devices
HACARUS Edge for FPGA
Introducing Sparse Modeling to FPGAs in three easy steps:
1. PoC (Proof of Concept)
Using visual inspection AI to determine the target image for inspection, adjusting the parameters, and analyzing the results.
2. Field testing
Bring the HACARUS Edge device into the field and fine-tune parameters as needed.
3. Deployment
HACARUS Edge for Xilinx FPGA
Consisting of a FPGA board, MIPI camera, and serial terminal, this specially developed visual inspection software performs image acquisition, learning, and inference.
Compatible with Xilinx FPGA, based edge devices, our application does not require a connection to the cloud.
HACARUS Edge for Intel FPGA
HACARUS Edge CORE is used for Intel FPGAs, where HACARUS’ proprietary sparse coding algorithm is implemented within IntelArria 10 FPGA boards running DDR memory. This algorithm generates a sparse representation of the input data which is used in conjunction with the learned dictionary to achieve data reconstruction. The necessary access to external memory is provided via the Avalon MM interface.
Taking advantage of HACARUS’ algorithm, the IntelArria 10 can be applied to low-end FPGA devices which cover a diverse range of uses.
HACARUS Edge & HACARUS Check for congatec Box PC
AI starter kit based on congatec hardware and Hacarus software can instantly be deployed and tested in any GigE and USB 3.x environment. Designed on the basis of palm sized Computer-on-Modules, the system measures only 173 x 88 x 21.7 mm (6.81 x 3.46 x 0.85 in).
It is not only slim but also offers extraordinary performance thanks to the latest Intel Atom® and Celeron®processors (Codename Apollo Lake) that are all available for series production today. Despite its small size, the system has a rich set of I/Os, enabling many different end user setups. Standard interfaces are 2 x GbE application ready for GigE Vison, 1 x USB3.0/2.0, 4 x USB2.0 and 1 x UART (RS-232). Extensions are possible with 2 x Mini-PCIe with USIM socket, 1 x mSATA socket and 16-bit programmable GPIO. The wide range DC voltage input is 9V-32V.
