Уровень 0 · материалов: 7
В кластер входят документы о создании электронных и программных систем для мониторинга или управления поведением животных, но не входят простые механические приспособления без использования технологий.
Общие признаки: использование электроники и программирования, автоматизация контроля за животными, DIY-проекты для домашних питомцев, применение AI и сенсоров для животных
Группа выше: Автоматизация живого: растения, животные, пчёлы
Смысл: The main idea is the application of advanced engineering and electronic skills to solve a simple humanitarian problem: providing a warm, safe place for a stray animal while monitoring its well-being without causing stress.
An engineer builds a sophisticated, heated cat house featuring a custom RF video monitoring system and remote power control to rescue a feral attic cat from the cold.
Смысл: The main idea is to demonstrate how a simple Arduino-based electronic system can be built to solve a domestic problem—specifically, stopping pets from destroying houseplants—using repurposed materials and 3D printing.
An engineer built an automated water-spraying turret using Arduino and car parts to stop cats from destroying his mother's aloe plants.
Смысл: The main idea is to demonstrate how Z-Wave smart home components can be integrated to create a customized notification system that solves a real-world problem—ensuring a pet's safety in extreme cold.
An owner uses a Z-Wave smart home system and video surveillance to receive smartphone alerts when their cat waits on the porch in freezing weather.
Смысл: The main idea is the application of basic electronics and programming (Arduino) to quantify animal behavior, specifically tracking the activity levels of a pet squirrel through a custom-built tachometer.
An enthusiast built an Arduino-powered speed counter with a Hall sensor to track a pet squirrel's running habits, discovering the animal averages 15km per day.
Смысл: The main idea is to demonstrate how LoRaWAN technology and community-driven networks like TTN can be used to create a cost-effective, long-range, and energy-efficient DIY pet tracking system that outperforms many commercial alternatives.
A developer built a custom IoT cat tracker using LoRaWAN, a modified TTN gateway, and BroWAN sensors to monitor his escaping cat without monthly subscription fees.
Смысл: The text describes how an engineer used computer vision and machine learning to solve a common pet-owner problem: cats bringing dead prey into the home. It emphasizes the application of AI for a niche, personal convenience while integrating a charitable element.
An Amazon engineer built an AI-powered cat door that recognizes when his cat is carrying prey and locks him out to keep the house clean.
Смысл: The main idea is the application of deep learning and edge computing to create a humane, automated deterrent system for garden pests, specifically cats, substituting aggression with technology.
An Nvidia engineer built an AI-powered sprinkler system using a Jetson TX1 and deep learning to humanely spray neighborhood cats off his lawn.