Mechanical engineering
MECHANICAL ENGINEERING & EMBEDDED AI: OPTIMIZATION FOR THE TOP
Embedded AI with AITAD sets 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 efficiently and economically with increasing quality and predictability.
Monitor and control manufacturing processes more efficiently with embedded AI
- Predictive maintenance: Monitoring wear parts using embedded AI enables deeper analysis of data and early failure predictions. This allows repair and maintenance processes to be planned more efficiently and increases machine availability.
- Person recognition: Embedded AI in access control systems recognizes employees’ faces and automatically assigns usage rights such as operation, maintenance, or programming. Since no faces are stored, the AI works in compliance with data protection regulations by using biometric patterns for identification and differentiation instead.
- Gesture and voice control: Embedded AI can control machines via gestures and voice. This can be useful in particularly noisy (gestures) or dirty (voice) environments, or when manual control is not possible or too dangerous.
- Process optimization: In injection molding, heating elements can be automatically monitored and controlled, and the injection molding process can be optimized. And in plant and valve engineering, embedded AI optimizes cavitation detection, for example.
- Object recognition: Other areas of application for embedded AI in mechanical engineering and manufacturing include automated quality control of components and the recognition of different parts and sizes for sorting systems.
- Material recognition: In vertical and horizontal drilling processes, the rock can be recognized automatically, allowing the drilling speed and drilling material to be better adjusted. In addition, the flow can be controlled and quantities calculated during the transport of liquid and solid substances. It is also possible to distinguish between liquids and solids based on the flow noise.
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
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.
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.
