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  • EYYES
  • About us
  • Technology
    • EYYES Software
    • Deep Learning
    • Deep Learning Optimizer
    • Deep Learning Accelerator
  • Products
    • CAREYE turning assistant
    • CAREYE intelligent rearview mirrow
    • RAILEYE 2.0
    • RAILEYE 4.0
    • QUALITYEYE testing system
  • Media
    • Press
    • Video library
  • Contact
    • Jobs
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EYYES Software

No AI use case without software.
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With pure artificial intelligence without computer vision and software, no application can be built. Artificial intelligence has its limitations, e.g. objects that have never been trained cannot be recognized. Therefore the combination with computer vision is necessary. The EYYES software enables the implementation of applications for image recognition and processing.

The Video Software Pipeline from EYYES is a complete software package for processing and evaluating a video signal from the sensor to the monitor. It is the core of all video based AI use cases. The software can be run as embedded software in any hardware with appropriate FPGA resources.

The EYYES Video Software Pipeline in detail

Package

Video Input Core

The Video Input Software takes care of the complete part of the camera control as well as the preparation of the video for the image processing.

Package

DNN Core

After the Input Core, the video stream is split. The images flow through the DNN Core Package (Deep Neural Network) for evaluation and classification of the objects. The IP Core is EYYES’ own software processor.

The EYYES Net is a specially trained Deep Learning Network that is trained to recognize all objects on the road. Likewise, our neronal networks can also be trained on all other use cases such as industry or security surveillance.

  • A neural network specialized for applications in traffic
  • Neural network with up to 21 layers and unique activation features
  • Fast training and better performance during execution

Package

Video Output Core

With the evaluation of the objects from the DNN Core, the original video stream is supplemented with the marking of the objects with corresponding bounding boxes, so that the recognized objects are visualized accordingly in the video. The image is thus prepared for processing and display on the monitor.

Package

Box Tracking

The Box Tracking Library forms the basis for the use cases after object detection. Here we calculate the movement behavior of the objects. This results in possible collisions or accident risks of which the driver and the road users can be warned. This is the basis for all driving assistance functions of a vehicle.

  • AI
    Software pipeline
    Complete software pipeline for AI products
  • Embedded
    AI
    Embedded AI in FPGA with high efficiency
  • Efficient
    IP Core
    IP Core with extremely efficient deep learning processing
  • Acceleration
    Up to 40 times
    Up to 40 times faster neural networks for high performance operation in FPGA.
  • Lower
    power consumption
    Up to 90% lower power consumption due to Deep Learning Accelaration of the network.
  • Subsequent
    training
    The neural network can be re-trained for all use case requirements.
  • Functional Safety
    for ISO 26262
    Functional Safety compliant development for the fulfillment of ISO 26262
INQUIRY

Artificial intelligence for your products.

EYYES GmbH
Im Wirtschaftspark 4
3494 Gedersdorf
Austria

Contact us
...by Email or Phone

Write us @ office@eyyes.com

Call us @ Krems, +43 (0)2735 37499-10

Call us @ Freital, +49 (0)351 799034-40

Call us @ Aachen, +49 (0)351 799034-40

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