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SKANRAY

A IoT solution for remote monitoring of X-ray equipment, enabling real-time monitoring of various parameters. 

Location: Mysore, Karnataka
Industry: Medical
www.skanray.com
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Client and Product

The successful completion of the proof of concept for our remote monitoring solution, specifically designed for monitoring various parameters of X-ray equipment. This comprehensive solution includes alerts for errors and failures, log file processing, and reporting of poor quality DICOM images for analysis by our research and development team. With the specifications finalized, we are now ready to move forward with the full implementation phase. Additionally, our solution incorporates analytics and predictive maintenance capabilities, leveraging machine learning techniques for enhanced operational efficiency.

The Challenge

  • Integration complexity: Ensuring seamless integration of the IoT solution with existing X-ray equipment systems.
  • Data security and privacy: Safeguarding sensitive patient data and ensuring compliance with privacy regulations.
  • Connectivity and network stability: Ensuring reliable connectivity for continuous remote monitoring and alerts.
  • Scalability and system expansion: Planning for future scalability and accommodating additional equipment and parameters.
  • Error and failure detection accuracy: Fine-tuning the system to accurately detect and alert errors and failures.
  • Log file processing efficiency: Optimizing the log file processing to handle large volumes of data efficiently.
  • Report generation and analysis: Designing an effective reporting system for poor quality DICOM images.
  • Collaboration with R&D team: Facilitating effective collaboration between the IoT team and the R&D team for image analysis.
  • Training and user adoption: Providing adequate training and support to users for seamless adoption of the solution.
  • Machine learning model performance: Developing robust machine learning models for accurate predictive maintenance. Data quality and integrity: Ensuring the accuracy and integrity of the data collected from the X-ray equipment.
  • Technical support and maintenance: Establishing effective support channels and processes for ongoing maintenance and troubleshooting.

Implemented Features

  • Remote Monitoring: The IoT solution enables remote monitoring of various parameters of the X-ray equipment.
  • Error and Failure Alerts: The system provides alerts for errors and failures, ensuring prompt response and maintenance.
  • Log File Processing: The system processes log files from the equipment, allowing for further analysis.
  • Report Generation: The solution generates reports for poor quality DICOM images, facilitating analysis by the R&D team.
  • Proof of Concept Phase: The Proof of Concept phase has been completed successfully.
  • Full Implementation: The project is moving towards full implementation, with finalized specifications.
  • Implementation Set to Begin: The implementation phase is scheduled to start.
  • Analytics and Predictive Maintenance: The solution incorporates analytics and predictive maintenance techniques.
  • Equipment Performance Optimization: Machine learning techniques are used to optimize equipment performance.
  • Anticipating Maintenance Needs: The system can anticipate maintenance requirements based on data analysis.
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Our Strategy

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Marketing Goals

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SEO Onsite optimisation

We ran display campaigns to help promote specific content pieces for brand awareness in the US. These were set up to target a very specific, relevant affinity audience across key-topic related placements, allowing us to maximise relevance, impression share and ROI.

The Results

Between August 2018 & 2019 we managed to smash all targets and exceed every single goal set. SEO traffic went up 51%, enquiries up 27% and revenue up 27% Year on Year.
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Between August 2018 & 2019 we managed to smash all targets and exceed every single goal set. SEO traffic went up 51%, enquiries up 27% and revenue up 27% Year on Year.

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