ACC Innovations Ltd is a newly established startup company formed by young, motivated engineers with strong interest in state-of-the-art computing technologies. The company is based in Nicosia, Cyprus; however, intends to promote technology developed locally throughout Europe.

All ACC Innovations Ltd personnel has a strong Computer Engineering background with PhD or master degree qualifications. Our people also have experience in developing novel computing technologies for applications stemming from diverse fields like: computer vision, pattern recognition, communications and bioinformatics. 

Our company's vision is to promote Cyprus as a regional node for fabless industry through locally developed, state-of-the-art computing technologies. We strongly believe that research collaborations between local and European partners is a first step towards that goal, thus ACC Innovations primary interest is research and development for advanced computing technologies. 

Offices:

ACC Innovations Ltd
2, Kerkyras str.
Flat 102
2103, Aglatzia
Nicosia, Cyprus

ACC Innovations offers real-time video processing IP cores for image/video processing and pre-processing algorithms as well as more complex vision-based embedded applications. The functionality of the offered IP Cores was evaluated on the Atlys 2 FPGA Board using real-time data acquisition from HDMI cameras, and our cores are also synthesizable across multiple technologies (PLDs, ASICs).

Edge Detection Core

General Description:

The Edge Detection IP Core detects edges (rates of change in pixels values) in incoming video frames using the Sobel algorithm. The gradient values in x and y direction are also provided at the output. The core supports a wide variety of video resolutions (480p, 1080p), which can be set at compile time. A simple I/O handshake makes the core capable to pause and resume the input video data stream. Edge detection threshold can be varied during operation.

Key Design Features:

• Configurable video resolution
• Dynamically variable edge detection threshold
• Pause/Resume Capability

Applications:

• Image Enhancement
• Object Detection
• Image Analysis

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Skin Detection Finder

General Description:

This IP Core detects skin-like image regions based on the YCrCb color space model. The Cr Cb components are evaluated from the input RGB values and are then used to detect skin-like regions. It facilitates seamless integration for higher level applications since it is synchronized with the pixel clock. 

Key Design Features:

• Seamless integration to facilitate higher level application
• Operates at pixel clock rate

Applications:

• Face Detection
• Pedestrian Detection
• Human Computer Interaction

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Local Binary Pattern Processing Core

General Description:

Local binary patterns are useful features for extracting image information in image analysis applications. This IP Core extracts the local binary patterns from the input video stream in real-time.

Key Design Features:

• Processes a 3x3 pixel neighborhood 
• Uses the center pixel as the threshold
• Simple combinational logic

Applications:

• Object Detection 
• Object Recognition
• Texture Analysis
• Face Detection

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Welcome to the ACC Innovations Ltd web site     

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View IP Cores by category:

• Video Processing
• Computer Vision

View IP Core Video Demonstrations   

The company personnel has expertise to design custom IP Cores for various applications including:

• Visual Object  Detection & Recognition
• Computer & Machine Vision systems
• On-Chip communication Backbones
• Artificial Intelligence & Learning Systems
• Biomeddical and Bioinformatics Applications
• QAM RF Modulation

Our company's primary research centers around the design and development of domain-specific hardware accelerators for high performance as well as embedded applications from various scientific areas. Currently the main areas that our research focuses on are:  

Image Processing and Computer Vision

Our research in video and image processing focuses on the development of novel algorithms and techniques that can be efficiently implemented on a hardware platform with regards to constraints such as hardware budget, power, cost, and performance. The algorithms we investigate include traditional image processing algorithms (spatial filters, Histogram processing, etc.), object detection and recognition, 3D video processing, as well as video compression playback and encoding.

 Intelligent Systems and Learning Vision Machines

Through our research we aim to embed intelligence in computing systems by efficiently designing and developing  pattern recognition and machine learning algorithms (such as Artificial Neural Networks).

Bioinformatics and Bio-inspired Computing

Our company is also involved in the design of architectures and systems for biological computing applications such as genome and protein sequence analysis (e.g. BLAST), database and information systems, and bio-inspired algorithms such as artificial neural networks. 

Services offered by our company:

• Design and Development of Domain-Specific Hardware Accelerators for:
  
  
• Mobile and low power systems
   
• High-performance systems
   
• Security and surveillance applications
   
• Bioinformatics Applications
   
• Image and Video Processing Applications
   
• Product Prototyping
   
• Complete System-on-Chip (SoC) solutions
    
• Embedded Software Solutions in multiple high level languages (Java, C++, C) and operating systems (Windows, Linux, Android)
   
• Scientific Knowhow and Technical Consulting in the areas of 
• Embedded computing systems
• System Integration and Development
• High Performance Computing
• Embedded Vision Systems

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Available Videos: 

• Depth Computation
• Skin Detection
• Frame Buffer/Graber
• Local Binary Pattern Feature Extraction
• Image Gradient

Select one of the thumbnails below to watch the respective video demonstration

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ACC Innovations offers real-time video processing IP cores for image/video processing and pre-processing algorithms as well as more complex vision-based embedded applications. The functionality of the offered IP Cores was evaluated on the Atlys 2 FPGA Board using real-time data acquisition from HDMI cameras, and our cores are also synthesizable across multiple technologies (PLDs, ASICs).

RGB to YUV Color Space Converter

General Description:

This IP core converts digital RGB signals used in computer graphics to luminance and color difference coded signals (YUV), which is used by many component video systems.

Key Design Features:

• Convert three input color samples to three output samples in a single clock cycle 

Applications:

• Image Transmission
• Image Compression

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On-Chip Video Frame Buffer

General Description:

The on-chip video frame buffer core provides the ability to store the input camera stream to an on-chip memory for fast local processing. The on-chip frame buffer is useful for applications where it is necessary to access pixels at different image locations which is not concurrent with the camera stream.

Key Design Features:

• Capture video frame from camera stream synchronized with the pixel clock.
• Ability to pause/resume frame grabbing until processing the captured frame.

Applications:

• Multi-resolution Image Processing
• Image Capture/Storing

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Video Median Filtering Core

General Description:

Median filtering IP core for noise removal in image processing and computer vision applications. Its scalable architecture supports a wide variety of video frame resolutions (up to 1080p60) and large window sizes.

Key Design Features:

• Median filtering in still images and real-time video streams
• Scalable to large window sizes
• Full HD video support (1920x1080)

Applications:

• Image Enhancement

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Image Gradient Core

General Description:

Image Filtering IP core that can be used as a building block for image processing and computer vision applications. It computes image derivatives for both the vertical and horizontal directions. The architecture is scalable and supports a wide variety of video frame resolutions and large window sizes.

Key Design Features:

• Supports both horizontal and vertical gradients for real-time video streams
• Scalable to large window sizes

Applications:

• Image Enhancement
• Image Analysis
• Computer Graphics

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