Onsemi Driving AI in Production with Advanced Sensors
Onsemi, a leading semiconductor company, is playing a pivotal role in the intelligent AI revolution in production. They support key sensor types, such as high-sensitivity image processing and analysis sensors, which are crucial for quality control, predictive maintenance, and real-time process monitoring.
These sensors, equipped with machine learning and deep learning capabilities, enable non-contact detection and flexible object capture. Photoelectric sensors use light-based technologies, while position and torque sensors employ Hall-effect, optical, or inductive methods to detect motor position and torque.
A typical sensor comprises a sensing element, operational amplifier, ADC, processor, interface, and power management components. Modern smart factories deploy AI at the edge, embedding algorithms in sensors, robots, and controllers for real-time data processing and decision making.
Temperature, pressure, and proximity sensors also play vital roles. Temperature sensors, using thermocouples, RTDs, or semiconductor sensors, monitor and control temperature in various industries. Pressure sensors condition clean-room environments and pneumatic or hydraulic systems. Proximity sensors sense metallic objects using electromagnetic induction, durable in harsh environments.
Industrial sensors, powered by Onsemi's semiconductor technologies, enable physical AI by converting physical parameters into electrical signals. This facilitates real-time decision making, driving advancements in quality control, predictive maintenance, and process monitoring in modern smart factories.
Read also:
- Canoo Secures $113M Incentives, Expands Production & Lineup with LDV 190 Electric Cargo Van
- Advancement in American lab technology potentially introduces friction stir welding to automobile production, streamlining manufacturing and assembly processes.
- H2O Innovation Expands Global Reach with Acquisition of Spanish Filter Specialist Lama
- BMW Suffers Ransomware Attack by Everest Group, with Reports of Stolen Internal Documents
