Healthcare Solutions

TSIP Healthcare Division has 10+ years of expertise in developing bleeding-edge solutions in Medical Imaging, Clinical Applications and embedded software for Diagnostic Modalities. Healthcare Division develops solutions and applications for Real-Time Patient Monitoring, AI based real time surgical guidance system, communication of multiple hospital components, etc. and is involved in an array of work including Patient Safety, Improving Diagnostic Image Quality, Product Quality Assurance of critical HW components.

Application Development

• Development of UX apps for setting, controlling & monitoring Patient Scan Process
• Involvement during Requirement capture/analysis, Design, and Development,
• Development of Auto software update application
• Key skills:
  • Development: C/C++, C# .NET, Python, HTTP, TCP/IP
  • Operating System: Windows
  • Testing: Developer testing, Regression, Acceptance, Integration, Device
  • Automation, CI/CD: Python, Shell, C#

Embedded Component Development

• Development of Embedded systems development for various requirements on Network Data transactions for high throughput
• Development of components based on Network Centric System Architecture
• System Design for optimal memory usage
• Implementation of new data transfer protocols
• Involvement during Requirement capture/analysis, Design, Development, Evaluation, Testing, Performance improvement
• Key skills:
  • Development: C/C++ (11/14/17), Boost, C# .NET, Java, Spring Boot, Blockchain, RDMA, Micro services, Docker and Kubernetes, Windows and CentOS
  • Communications: HTTP, HTTPS, TCP/IP, RDMA
  • Testing: Developer testing, Acceptance, G-Test

Image Processing Development

• Reconstruction of 2D frames to 3D volume using Image Processing, Deep Learning and Graphics Programming.
• Development of algorithms for better visibility of objects in images which is used to improve patient safety.
• Develop application for real time data flows of raw images. Transferring the raw images from actual systems to GPU for image pre-processing and for user need
• Parallel computation of Image processing algorithm
• Deep learning and AI based image processing algorithm for improving accuracy to guide users during live procedures
• Image analysis library for the analysis of human anatomy using Image processing technologies (Filtering, Transformation, Rendering etc.)
• Key skills:
  • Technology: C/C++, Python, CUDA, OpenCV, 3D graphics rendering (Direct 3D / OpenGLES), GPU Computing (Direct Compute), GPU Shading Language (HLSL, GLSL), Image Processing, Deep Learning
  • Communication: Socket, TCP/IP
  • Operating System: Windows, Linux, VxWorks
  • Testing: Unit testing, Regression, Performance, Integration, Stress, Device
  • Automation, CI/CD: Python, Shell, Jenkins

System Validation

• Development of Automation tool for Server Hardware Validation
• Servers subsystem hardware such as GPU, Ethernet, Memory card are validated for their health before Mass Production
• System Stability Test for Power cycling (Reboot, hibernate, shutdown, etc.,) are handled
• Tool Developed for Linux OS (Multiple Versions)
• Key skills:
  • Technology: C++ (17)
  • Operating System: Linux
  • Testing: Unit Testing, Integration Testing, System Testing
  • Automation, CI/CD: Python, Shell[Healthcare Solutions]