A selection of projects we've built for clients across different industries and platforms.
Developed the company's flagship iOS medical application with FHIR healthcare data integration. Deployed AI models on Azure for real-time clinical inference within the mobile app.
A medical health kiosk integrating SpO2 monitoring, 3-Lead ECG, temperature sensing, and BLE connectivity for real-time patient health assessment in clinical environments.
An Android application for IoT-connected smart grinder control and monitoring, communicating with embedded hardware via MQTT protocol for real-time device management.
Real-time production line monitoring system using ESP32 microcontrollers with Nextion and DWIN HMI displays for factory floor visibility and operational efficiency tracking.
An automated sorting system combining computer vision with embedded control. Uses image processing to classify and sort items by colour in real-time on a production line.
A serverless data synchronisation service connecting on-premise industrial systems to AWS and Azure cloud platforms using S3, Lambda, and automated pipelines.
A full-stack web application for textile mill reporting and management, built with Java Spring Boot and Thymeleaf. Included maintenance, feature updates, and SQL database management.
An industrial spindle monitoring solution built on Renesas microcontrollers with STONE HMI displays for real-time textile machinery health tracking and predictive maintenance.
A hardware bridge converting UART serial communication to Wi-Fi, enabling legacy industrial equipment to connect wirelessly to modern networks and cloud services.
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