Automotive
Automotive
Embedded AI is setting new standards in production technology. The continuous development of this technology will play a key role in competitiveness and innovation. With intelligent sensors, you can set new standards, stand out from the competition and create USPs that cannot be ignored. At the same time, you can produce more efficiently and economically while improving quality and providing more flexible service.
Embedded AI for automotive applications is real-time capable and can therefore react immediately. It reduces the load on the vehicle’s decentralized computing unit. When embedded AI is used for driver monitoring and passenger surveillance, sensor data is processed directly, ensuring maximum privacy protection.
Ensure maximum driving safety in vehicles with embedded AI
- Driver monitoring: Embedded AI for automotive applications combined with sophisticated sensor technology forms the basis for comprehensive occupant monitoring. This ranges from fatigue and emotion detection to health monitoring (e.g., in the event of a heart attack or stroke) and accident management. In the event of an unavoidable accident, the vehicle can be controlled in such a way as to minimize personal injury. In the worst-case scenario, automated emergency calls can be made.
- Predictive maintenance: AI-based monitoring of the powertrain provides early warning of wear and tear and prevents serious damage.
- Data reduction: Embedded AI reduces the load on the vehicle’s central processing unit. Real-time capability is particularly important for autonomous driving.
- Environment analysis: The vehicle’s environment can also be recorded and monitored using AI and sensors. This allows, for example, the quality of the road surface to be assessed and the shock absorbers to be adjusted accordingly.
- EOL with ultrasonic sensors: In engine manufacturing, AI-based end-of-line testing using ultrasound can ensure the quality of individual components and complex assemblies. Robustification or replacement of existing sensor technology that is not reliable in dynamic driving conditions. This starts with oil sensors and ends with seat belt technology.
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.
White goods, household appliances, sanitary
Embedded AI brings new features and improvements to household appliances and plumbing. AITAD’s solutions work without the need for continuous updates or a network connection and can be integrated into almost any device. They provide greater efficiency and convenience, detect damage to plumbing installations at an early stage and optimize water consumption. This way, they increase the longevity of technical systems and improve the quality of everyday life.
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.
