White goods, household appliances, sanitary
White goods, household appliances, sanitary
Embedded AI brings new functions and improvements to white goods, household appliances, and sanitary ware. AITAD’s solutions work without ongoing updates or network connections and can be integrated into almost any device. They ensure greater efficiency and convenience, detect damage to sanitary installations at an early stage, and optimize water consumption. In this way, they increase the longevity of technical systems and improve the quality of everyday life.
Embedded AI also enables the implementation of new business models: Household appliances are no longer sold, but rented with a lifetime replacement promise (hardware as a service).
Embedded AI warns of impending failure and provides support during operation
Making household appliances smarter and safer
- Predictive maintenance: Washing machines detect impending failures at an early stage, e.g., before a hose breaks or the drum becomes unbalanced.
- Guided cooking: Stoves learn to “smell” and prevent burning or boiling over. Operating errors are automatically detected and prevented—particularly helpful for older people or those with cognitive impairments.
- Operation: Voice control enables intuitive operation of household appliances, e.g., for selecting programs or opening doors.
- Object recognition: Coffee machines recognize the size of the cup and automatically adjust the fill quantity.
Sanitary solutions for more comfort and conservation of resources
- Person recognition: Showers with AI-based grid infrared person recognition detect the number of people and their body temperature. If someone falls, an emergency signal is automatically sent. If there are several people in the shower, for example in a care situation, the water supply is stopped.
- Object monitoring: In public restrooms, presence detection using lidar and radar ensures greater hygiene and saves water and energy.
- Sustainability: Toilet flushes intelligently adjust the amount of water used to save resources.
- Energy efficiency: Heating systems regulate the water temperature more efficiently using AI-supported sensor technology.
- Leak detection: Pipes with embedded AI sensor technology detect and locate leaks at an early stage to prevent damage.
Further possible applications for embedded AI
Energy and air-conditioning technology
Process optimization (e.g. status and anomaly detection for the main components of a heat pump, e.g. compressor, condenser, evaporator, expansion valve)
Electrical installation
Innovative infrared fire protection systems for control cabinets that provide reliable protection and effectively prevent short circuits and fires.
Retail
Data protection-compliant theft prevention – detects suspicious behavior and protects against losses without compromising customer privacy.
Robotics
Monitoring of joints in robot arms for early failure prediction. Optimization of the grip pressure of automatic grippers depending on the material to be gripped
Fire protection
Precise positioning and emotion detection of people to be evacuated – enables faster rescue and targeted support in emergency situations.
Additional solutions
Mechanical engineering
Embedded AI with AITAD is setting new standards in mechanical engineering and industrial manufacturing. The combination of AI and intelligent sensor technology optimizes processes, increases efficiency and reduces downtime. At the same time, you can produce more economically while increasing quality and predictability.
Medical technology
In medical technology, AITAD offers innovative approaches to optimize existing solutions and promote innovation. Embedded AI optimizes and relieves the burden here, particularly through user interaction and advanced predictive maintenance solutions.
Automotive
AITAD has been working with German OEMs for years. Our embedded AI solutions not only contribute to engine function testing, but also help save lives in a variety of ways. This is done both by monitoring and predictive maintenance of wear parts in the powertrain and by groundbreaking developments in driver monitoring.
