Contracting

Xerinae company conduct research and development into new emerging technologies. We also have consulting services, investigate solutions to your challenges and provide educational trainings. The applications are but not limited to:

Internet of Things, Artificial Intelligence, Biomedical Applications and what makes your daily life engaged.

Our expertise lie in signal/image processing and classification algorithm designs that assist in feature detection, extraction and tracking. We develop for most of the desireable development platforms including MS Visual Studio, QNX Momentics, IAR Workbench, Code Composer Studio, Android Studio/NDK and Tizen aimed at Windows 10 IoT, ARM(A9), NEON, DSP(TMS320), MCU(MSP430)

Sample Projects:

You trust our expertise, thank you, we will finalize our assigned projects. You value your time and costs as we do our efforts. We evaluate your thoughts against your goals and conclude our work if we decide to take on your project guaranteed. We annually select one successful project as our representative. You may find a brief description in the following.

(2004) Laser Object Discrimination (LOD): Light scattering off object surfaces could be quite different. The LOD system utilizes the laser backscattered light profiles to discriminate types of materials in poorly illuminated environment.
(2005) Electrocardiography (ECG) Signal Analysis: Heart ECG signal analysis has been always of internet among physicians and scientists. We have designed an ECG feature extraction and classification system to detect a range of arrhythmias.
(2006) ECG Over The Web (WECG): We extended our ECG project to provide the analyzed data over the secure web from patient locations to physician offices in realtime.
(2007) Magnetic Resonance Spectroscopy (MRS) Signal Analysis: Brain MRS can provide metabolite concentration information used to identify metabolite deficiencies and related abnormalities. We designed a system that measures relative metabolite concentration and identifies a few related diseases.
(2008) Diffusion Weighted Image (DWI) Analysis: Brain DWI commonly used in children for disease diagnosis. We developed an atlas-based system that can locate and identify water diffusion abnormalities.
(2009) Diffusion Tensor Image (DTI) Analysis: Brain DTI is recommnended for adults where high magnetic flux is implemented. We designed a system that can process and locate diffusion restricted areas.
(2010) Fiber Tracking (FT): Brain FT is essential for detecting brain inter-connectivity problems. We designed a system that prepares fiber distribution pathways based on DTI information.
(2011) Cortical Surface Analysis (CSA): Brain CSA is a recent tool to investigate changes in human cortex. We developed a system that perform a patient cortical analysis against controls.
(2012) Tool Tracking (TT): TT has been always of interest to automated procedures. We designed a system that is applicable to metallic linear tools and directs operators during different procedure.
(2013) Motion Correction (MC): Many realtime visualization system from simple cameras to medical imaging devices suffer from subject movements. We have designed an optimized processor aimed system that can detect and corrected for movements in images.
(2014) Digital Imaging and Communications in Medicine (DICOM): DICOM is the standard for medical image storage and communication widely utilized in Picture Archiving and Communication Systems (PACS). DICOM could be overwhelming to developers. We have developed a library that implements the most recent DICOM standard to encode medical images into DICOM and to decode into simple images.
(2015) Three Dimensional Surface Reconstruction (3DSR): Two dimensional images (2D) do not convey depth information. We designed a system that extract depth information from standard 2D images and builds three dimensional (3D) surfaces in realtime.
(2016) Smart Homes (SH): Homes are developing as we do. Homes adopt technology to adapt to our modern life. The SH system provides home monitoring and communication for the owners.
(2017) Data Encryption and Protections (DEP): Implemented AES/RSA encryption technologies for automated data licensing utilizing SL/HL methodologies on ARM platform and across a variety of IoT core devices using secure external remote servers in hospital settings.
(2018) Malfunctioned Capsule Identification (MCI): Implemented a semi-automated system to caputre, align and process images. Neural Networks are utilized to train and later automatically identify malfunctioned capsules in series of images. Also used barcode technology to encode pixel location and perform image to real space mapping peformed in an acurate mechanical alignment setting.
(2019) Optical Character Recognition (OCR): Implemented text directed image pre-procssing algorithms to improve image quality and later used text recognition to extract biographical information from passport images.