Field: Healthcare
Stack: C, C++, QT, Java, Git, Rest Api, Machine Learning, Image And Blood pattern Recognition
Team: 6 developers
Company Size: Large company


The client was looking for the possibility of rebuilding and refactoring the existing platform to the latest technologies that will allow future integration with modern machine operators Cloud and Mobile Technologies and new possibilities of device control from anywhere, enabling predictive and preventive maintenance, system integration with modern WEB / Mobile applications and transforming them into Industry 4.0 standards.

Based on the research, we proposed a new technology stack, a system architecture with REST API, a microservice architecture that allows you to improve the user experience, integration options, and system readiness for 

evolution of the existing system towards modern standards, such as remote monitoring, remote control, preventive maintenance, and service via the web and mobile technologies. BCF has fully implemented the new working solution. 
At a later stage of the application development, the client is looking for the possibility of upgrading the existing system with a modern digital camera and replacing the analog used in the past. We propose a technology stack, software architecture for transferring and refactoring existing code, as well as a new hardware architecture while extending the system with modern machine learning algorithms for advanced blood image recognition.
Based on the research for this action, we proposed a new technological stack, a new system architecture with modern API interfaces that allow improving the user experience, the possibility of integration, and system readiness for the Industry 4.0 standard. Evolution of the existing system towards modern standards such as remote monitoring, control, maintenance and operation via internet and mobile technologies.

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