Wearable sensors are small electronic devices that can be attached to the body or built into clothing and accessories to measure different physical or biological signals. They are designed to monitor data such as heart rate, temperature, movement, or steps taken throughout the day. These sensors send the collected data to a smartphone or computer…
Bioinspired robotics is an area of engineering where robots are designed by taking inspiration from living organisms, such as animals or plants. By studying how creatures move, sense their environment, or adapt to challenges, engineers develop robots that can perform similar tasks more efficiently. This approach often leads to robots with improved movement, flexibility, and…
Neuromorphic engineering is a field of technology that designs electronic systems inspired by the structure and function of the human brain. Instead of using traditional computing methods, these systems mimic how neurons and synapses work to process information. This approach aims to make computers more efficient at tasks like recognising patterns, making decisions, or processing…
AI for Fault Detection refers to the use of artificial intelligence technologies to automatically identify problems or abnormalities in systems, machines, or processes. These AI systems analyse data from sensors, logs, or equipment to spot signs that something is not working as it should. By detecting faults early, companies can prevent breakdowns, improve safety, and…
AI for microgrids refers to the use of artificial intelligence to manage, optimise, and control small-scale local energy systems. Microgrids often combine renewable energy sources, batteries, and traditional power sources to supply electricity to a limited area such as a neighbourhood, campus, or industrial site. AI helps microgrids balance supply and demand, predict energy usage,…
AI for Grid Management refers to the use of artificial intelligence technologies to help monitor, control, and optimise the flow of electricity within power grids. These systems can predict energy demand, detect faults, and balance supply with demand more efficiently than traditional methods. By analysing data from sensors and smart meters, AI can help utilities…
AI for Battery Management refers to the use of artificial intelligence to monitor, control, and optimise batteries in devices such as electric vehicles, smartphones, and renewable energy systems. AI can analyse battery data in real time to predict performance, extend battery life, and prevent failures. This technology helps manage charging and discharging cycles more efficiently,…
AI for energy storage refers to the use of artificial intelligence to manage and improve how energy is stored and used. This technology helps predict when energy demand will be high or low and decides the best times to store or release energy. By analysing data from weather, usage patterns, and grid conditions, AI can…
AI for Smart Lighting refers to the use of artificial intelligence technology to control and optimise lighting systems. These systems can automatically adjust brightness, colour and timing based on factors such as occupancy, time of day and user preferences. The goal is to improve energy efficiency, comfort and convenience in homes, offices and public spaces.
AI for smart buildings refers to the use of artificial intelligence to manage and optimise building systems such as heating, lighting, security, and energy use. AI analyses data from sensors and devices throughout a building to make decisions in real time. This helps create safer, more comfortable, and more energy-efficient environments for people who use…