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About Us

2011-11-09T12:49:15+00:00

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

Computer Vision IP Cores

2013-11-07T08:25:19+00:00

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

Acquire Design - Contact Us | Video Design Demo

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

Acquire Design - Contact Us | Video Design Demo

Home

2011-11-17T12:30:00+00:00

Welcome to the ACC Innovations Ltd web site

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IP Cores

2013-01-08T09:14:03+00:00

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

Research

2011-11-09T12:50:25+00:00

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

2011-11-09T12:49:44+00:00

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

Social Networks

2013-01-31T12:27:58+00:00

Video Demonstrations

2012-03-29T06:28:51+00:00

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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Video Processing IP Cores

2013-11-07T08:23:21+00:00

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

Acquire Design - Contact Us | Video Design Demo

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.