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DIGITAL TRANSFORMATION SERVICES
Energy
+82%
+58%
-50%
+45%
- 38%
49%
Native Library (C/C++, STL, Neural Networks)
The cross platform library was designed for image processing and recognition across desktop and mobile platforms. OpenCV was chosen for the input frame pre-processing, contour analysis, and recognition area setting. Image recognition was implemented using a neural network-based classifier.
Desktop Client/Trainer (C++, Qt 5.x, QML)
Our team developed a desktop application using Qt 5.x framework and Qt QML technology. This application was used for neural network training and control as well as for testing. Webcam was used instead of the mobile phone for data input.
Android Client (Java, Android SDK, Android NDK, RealmDB, rxJava, Retrofit2)
Our developers implemented the mobile application with Native library features for image recognition, domain logic for data analysis, and auxiliary functional units. To ensure offline operation of the application, the local RealDB database, a high-performance noSQL database for mobile platforms, was implemented.
Web API Server (Java, Spring Framework, MongoDB)
Centralized data storage and mobile client request processing were implemented in a Web Server, based on Java and Spring Framework. Our software engineers settled on MongoDB as a server database due to its high performance and speed parameters.
The application was designed for electricity meter reading automation, to be used by the company’s employees. The server administrator created personal accounts for each employee and transferred their login data to the inspectors. This eliminated the registration process, dispensing with the need for a registration field on the login screen.
Kate Vodolazkina
Vitaliy Kononenko
Andrey Melnichenko
Maria Grekova
Sergey Komarov
Valeriy Panchenko
Dmitriy Herutskyi
The process of Digital Transformation really forced our developers to push their limits and come up with innovative solutions tailored to the client’s needs. The outstanding results were achieved through creative cooperation and mutual support.
To ensure efficient project management process, the Computools team used Jira and Redmine platforms for tasks assignment and progress control. Regular video and audio conferences with the client’s representatives ensured all challenges were timely addressed. Skype helped solve urgent matters, while Email was used for reports and tasks sharing.
We chose the Scrum project management approach with 2-week sprints to ensure continuous delivery and accurate fulfillment of the development plans. Agile methodology necessitated a close cooperation with the client to introduce new ideas and approve adjustments. Every sprint was finalized with testing and the demonstration of the implemented features.
CONSULTING
Product DESIGN
Product Engineering
Project architecture is crucial to building a robust, ergonomic design. The team pays special attention to the development of the product's functional elements and the ways these elements interact.
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code sample
