Microcontrollers & Microprocessors - We understand the core of IoT devices, including popular boards like Arduino, Raspberry Pi, and ESP32.
Sensors and Actuators - INDUSTRIA engineers are familiar with several types of sensors (temperature, pressure, humidity, motion, level, force, vibration, gas, light, acoustic, chemical, etc.) and actuators to interact with the physical world. If the sensor is too new and complex or there is a necessity for hardware design, we use a trusted partner vendor to help us with the task.
Connectivity
Wireless Communication - Our engineers possess skills in Bluetooth, Wi-Fi, LoRa, and cellular networks (5G, LTE) for device connectivity.
Network Protocols - We have knowledge of IoT protocols such as MQTT, CoAP, and HTTP/S for efficient data exchange.
Software and Platforms
IoT Platforms - We have vast experience with platforms like AWS IoT Core, AWS IoT Hub, Microsoft Azure IoT, and experimenting with open-source alternatives such as ThingsBoard for device management and data collection.
Programming Languages INDUSTRIA engineers are proficient in languages suited for IoT and backend development, including Python, JavaScript (Node.js), C/C++ for embedded systems, and Java or .NET for enterprise backend services.
Containerisation and Virtualisation - We understand Docker, Kubernetes, and virtual machines (VMs) for deploying and managing applications.
Zapier Integration for Streamlined Workflows - In our commitment to maximising efficiency and connectivity within your operations, we've incorporated Zapier integration as a key component of our System Integration services. Zapier allows us to automate workflows by connecting your Industrial IoT devices and automation systems with over 3,000 web applications. This integration facilitates seamless data exchange and automates tasks across different platforms without the need for custom coding. Whether it's triggering alerts based on sensor data, updating databases in real-time, or automating communication channels, our use of Zapier ensures that your operations are more connected, responsive, and efficient. This approach not only saves time but also allows for a higher level of operational agility and innovation.
Data Processing and Analytics
Database Management - Proficient level with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases for structured and unstructured data storage.
Data Analytics and Visualization - We have skills in data analysis tools ( primarily with Python with Pandas, R) and did some experiments with visualisation software (like Tableau) to derive insights from data.
Big Data Technologies - We gained some knowledge of tools like Apache Hadoop, Spark for processing large datasets.
Automation and Robotics
Industrial Automation - Some familiarity with PLCs (Programmable Logic Controllers), SCADA (Supervisory Control and Data Acquisition) systems, and robotics.
Robot Operating System (ROS): Basic knowledge of ROS for developing robotic applications. We believe that it could be beneficial, especially for automation projects.
Cybersecurity
IoT Security - We understand the security principles and practices specific to IoT, including encryption, secure boot, and network security. Part from this experience is coming from our long-time experience in building mission critical systems for the financial world.
Enterprise Blockchain - For certain applications, knowledge of blockchain can provide secure and transparent ways to log transactions and manage data.
Emerging Technologies
Artificial Intelligence and Machine Learning - We started applying AI/ML for predictive maintenance, anomaly detection, and automation processes.
Augmented Reality (AR) and Virtual Reality (VR) - This has been a hot topic for us since ancient 2010. At the moment we can provide several solutions aimed for training, maintenance, and remote assistance solutions in industrial settings.
