AI for Earth Observation means using artificial intelligence to automatically analyse data collected from satellites, drones, or other remote sensors. This technology can quickly process huge amounts of images and measurements to spot patterns, changes, or problems on the planet’s surface. It helps scientists and organisations monitor things like forests, oceans, farms, and cities more…
Category: Computer Vision
AI for Satellite Imagery
AI for Satellite Imagery refers to using artificial intelligence to automatically process, analyse, and interpret images taken by satellites. This technology helps to quickly identify patterns, changes, or objects within vast amounts of visual data. It enables faster and more accurate insights from satellite photos, which would otherwise take humans a lot of time to…
AI for Crop Monitoring
AI for Crop Monitoring uses computer systems to automatically observe and analyse the condition of crops in fields. By processing images and sensor data, AI can detect plant health, growth stages, and early signs of disease or pest infestation. This helps farmers make better decisions about irrigation, fertiliser use, and harvesting, often saving time and…
AI for Waste Sorting
AI for waste sorting uses artificial intelligence to automatically identify and separate different types of waste materials, such as plastics, metals, paper, and glass. It often involves cameras and sensors that scan rubbish as it moves along conveyor belts, with AI algorithms deciding where each item should go. This process helps recycling centres sort waste…
AI for Recycling Robots
AI for recycling robots refers to the use of artificial intelligence technologies to help robots identify, sort, and process recyclable materials more accurately and efficiently. These robots use cameras and sensors to scan items on conveyor belts, then AI software analyses the images to determine what type of material each item is made from. This…
AI for Wildlife Tracking
AI for Wildlife Tracking refers to the use of artificial intelligence technologies to monitor, identify, and study animals in their natural habitats. These systems can process data from cameras, GPS collars, drones, or audio sensors to detect animals, track their movements, and analyse their behaviours. The goal is to help researchers gather accurate information efficiently,…
AI for Home Security
AI for home security refers to the use of artificial intelligence technologies to help protect homes from threats such as burglary, intrusion, or fire. These systems use cameras, sensors, and software that can recognise patterns, detect unusual activity, and send alerts to homeowners or authorities. By learning from regular behaviours and identifying anomalies, AI can…
AI for Braille Translation
AI for Braille translation refers to the use of artificial intelligence to automatically convert written text into Braille, the tactile writing system used by people who are blind or visually impaired. This technology can handle different languages, symbols and formatting rules, making the translation faster and more accurate than manual methods. AI systems can also…
AI for Sign Language
AI for Sign Language refers to the use of artificial intelligence technologies to recognise, interpret, and translate sign languages. These systems often use cameras or sensors to capture hand movements and facial expressions, then process the data to understand the intended words or phrases. AI can help bridge communication gaps between sign language users and…
AI for Biometrics
AI for biometrics refers to the use of artificial intelligence techniques to analyse and interpret unique biological characteristics, such as fingerprints, facial features, voice, or iris patterns, for identification or authentication purposes. By learning from large amounts of biometric data, AI systems can improve the accuracy and speed of recognising individuals. This technology is often…