Internet of Things terms.

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, which is often near the edge of the network or the end-user device. The traditional cloud computing model centralizes data processing and storage in large data centers, but edge computing aims to alleviate some of the limitations of this approach.

In edge computing, computing resources, such as servers, data storage, and networking infrastructure, are placed in close proximity to the source of data or the end-users. This reduces the latency and bandwidth usage that would be required to transmit data to a remote data center for processing. By processing data locally at the edge, the response time is improved, and applications can function more efficiently.

LPWAN (Low-power Wide-area Network) is a wireless technology for transmitting small data over long distances. It's ideal for applications such as distributed telemetry networks, machine-to-machine interaction, and the Internet of Things. LPWAN collects data from various equipment, including sensors, utility meters, and fire alarm devices. It reduces costs and power consumption, allowing IoT devices to operate for many years on a single battery charge. LPWAN can connect thousands of devices over a wide area, transmitting data over several kilometers without repeaters or additional infrastructure.

Radio Frequency Identification (RFID) technology is a quick and efficient way to label and track inventory. It uses radio waves to communicate information between a tag and a reader. Compared to traditional barcode systems, RFID technology has many advantages, including faster speed, greater accuracy, and longer range. It enables companies to quickly and easily track inventory in real-time, reducing the risk of out-of-stock items, and improving efficiency. Additionally, RFID technology is useful in the healthcare industry for tracking medical supplies, equipment, and patients. Our engineers created a system for the Eastern Australia railway network that retrieves data from RFIDs installed in transponders, stores it in a database, and analyzes it to create regular reports. For more information, check our case study.