Imaging Data Processing For A Healthcare Technology Company

WellVu is a healthcare technology company that provides thermal imaging systems to monitor the physiological health. Their FDA-registered thermal imaging cameras are used by medical and veterinary professionals for non-invasive diagnostics and continuous patient monitoring.

• Real-time thermal imaging data processing and analysis (>30 FPS)
• Seamless integration with WellVu’s Bluetooth-enabled camera hardware
• User-friendly mobile application for diagnostics on-the-go
• Cross-platform solution that combines medical-grade precision with intuitive UX
• High-performance OpenCV image analysis pipeline
• Automated testing for both backend and Android apps (JUnit, Espresso)

Delivering accurate physiological insights from thermal data requires more than just imaging hardware - it demands reliable, real-time software capable of interpreting complex data streams. WellVu approached Softellar with a need to improve how temperature data was analyzed, visualized, and delivered to clinicians using their devices.

WellVu wanted to enhance the capabilities of their thermal imaging system by developing a custom software solution to process and analyze the radiated temperature data collected by the camera. They required a high-performance and accurate solution that would help doctors to identify areas of thermal asymmetry, which could be indicative of underlying health issues.

In addition to image processing performance, the solution had to align with the practical needs of busy medical professionals, many of whom rely on mobile hardware in clinical and veterinary settings. This meant minimizing latency, ensuring Bluetooth stability, and building a fluid user interface for high-stakes, time-sensitive environments.

• 2 Senior Java Developer (core processing, OpenCV integration)
• 1 Senior Android Developer (Bluetooth integration, UI/UX)
• 1 QA Engineer (unit & UI testing, test automation)
• 1 Project Manager

Softellar responded by designing a flexible dual-platform architecture that covered both desktop and mobile use cases. The system was engineered to support real-time image processing, immediate diagnostics, and seamless communication with WellVu’s custom-built cameras.

The team collaborated with WellVu to develop a cutting-edge Java-based software application that could effectively process and analyze thermal imaging data. The software was specifically designed to process this data in real-time, providing medical professionals with immediate insights into the physiological state of their patients.

To address mobility and ease of use, the team simultaneously developed a native Android application that allowed users to wirelessly stream and review data from the imaging hardware. The application was designed to provide doctors with a seamless experience, allowing them to easily navigate and analyze the thermal imaging data on their mobile devices.

The solution also included secure data storage, a robust OpenCV-based image analysis pipeline, and thorough automated testing.

Through careful collaboration and a deep understanding of WellVu’s unique needs and requirements, Softellar was able to deliver a high-quality solution that has been adopted by medical and veterinary professionals who benefit from faster diagnoses and better data visibility. The integration of advanced Java-based technologies with user-friendly Android applications has allowed the Customer to revolutionize the way that medical professionals collect, process, and analyze thermal imaging data, ultimately improving patient outcomes.

Thermal Data Processing Engine

At the core of the system lies a high-performance data processing engine built in Java SE and powered by OpenCV. This engine handles real-time thermal image streams from the hardware, performing pixel-level analysis to detect thermal asymmetries. With frame rates exceeding 30 FPS and a temperature sensitivity of less than 0.2°C, the system provides reliable insights suitable for clinical evaluation.

Mobile Application

To extend the system’s capabilities to mobile platforms, Softellar developed a native Android application using Kotlin and the Android SDK. The app connects wirelessly to the thermal imaging device, allowing practitioners to access live imaging, interact with results, and capture data from the field or clinic. The interface was carefully designed to accommodate quick navigation and hands-free operation in high-paced medical environments.

Hardware Integration via Bluetooth

The solution integrates seamlessly with WellVu’s proprietary thermal imaging camera through a custom Bluetooth communication layer. Using Android’s Bluetooth APIs, the application establishes a stable low-latency connection with the hardware, ensuring smooth real-time transmission of high-resolution image data.

Secure Data Storage and Sync Capabilities

All processed data is stored locally using SQLite, allowing users to review past scans even when offline. For extended use cases, the system includes a RESTful API that enables synchronization with external services and secure cloud-based storage, making the platform flexible for both standalone and enterprise deployments.

Testing, Automation, and Quality Assurance

To guarantee long-term stability and maintainability, the entire system was covered with unit and UI tests. JUnit was used for validating core processing logic, while Espresso and Mockito ensured a robust mobile user experience. The final solution achieved over 85% test coverage and was optimized for continuous integration.

Security and Compliance

Given the healthcare context, the software was designed in alignment with HIPAA-compliant best practices. No personally identifiable information is stored, and all local data is protected using Android’s built-in encryption mechanisms and permission models, ensuring both clinical utility and regulatory alignment.

To deliver a solution that meets strict medical standards and usability requirements, Softellar followed a phased and collaborative development approach:

1. Discovery & Planning
   Reviewed WellVu’s existing hardware architecture and data formats
   Identified regulatory constraints (FDA) and UX preferences of target users
   Defined system requirements and data processing workflows
2. PoC & MVP
   Built initial modules using Java SE and OpenCV to process thermal images
   Prototyped real-time analysis pipeline using simulated data streams
3. Development & Integration
   Added multi-frame analysis, anomaly detection, and image rendering features
   Finalized Android UI and ensured hardware compatibility
   Implemented RESTful backend communication and local data persistence
4. QA & Optimization
   Conducted automated and manual testing across Android and desktop platforms
   Used Espresso and Mockito for app-level stability and reliability
   Refined performance for consistent image capture and analysis at 30+ FPS
5. Deployment & Support
   Assisted in user training, documentation, and live support
   Provided post-launch bug fixes and performance tuning

The software accurately processed and analyzed thermal imaging data in real-time, allowing doctors to identify areas of thermal asymmetry and diagnose underlying health issues.

With the help of Softellar’s solution, WellVu was able to provide doctors with a more comprehensive understanding of their patients’ physiological health, leading to improved treatment and care.

Business Outcomes

• Improved diagnostic accuracy by providing physicians with real-time insights into thermal asymmetry
• Enhanced WellVu’s value proposition to clinics and hospitals as a full-stack imaging solution provider
• Accelerated adoption of the solution among medical and veterinary users
• Improved patient outcomes through earlier detection of inflammation and circulatory issues

Technical Outcomes

• Achieved real-time frame processing of thermal image streams (>30 FPS)
• Seamless hardware/software integration with Bluetooth-enabled camera modules
• 85% test coverage using JUnit and Espresso
• Deployed on both desktop and mobile platforms with consistent UX

"Working with Softellar was a great experience. They consistently demonstrated their commitment to delivering a successful outcome. The team was very responsive, communicated effectively, and were always available to address any questions or concerns we had."

Josh Robertson

VP of Sales, WellVu

Java SE, OpenCV, Android SDK, Kotlin, Bluetooth APIs, SQLite, REST API, JUnit, Espresso, Mockito