Onsemi's Intelligent Industrial Sensors Drive Physical AI in Smart Factories
Onsemi, a leading semiconductor company, specialises in intelligent industrial sensor solutions. Their offerings range from photoelectric and ultrasonic sensors to vision and proximity sensors, catering to diverse industrial needs.
Onsemi's portfolio includes photoelectric sensors that detect objects using light-based technologies, providing non-contact and flexible detection. Ultrasonic sensors, on the other hand, measure distance by emitting ultrasonic waves, making them ideal for navigation, obstacle detection, and flow measurement.
Vision sensors, a key focus of Onsemi, capture product images for machine vision, inspection, and quality control. The company's CMOS image sensors, used in embedded vision systems, come in high-resolution and multi-channel configurations. These sensors support advanced vision applications like 2D code reading, OCR, and robotics.
Other sensor types developed by Onsemi include proximity sensors that sense metallic objects using electromagnetic induction, and environmental sensors that measure conditions like gas, chemical, rain, and light for workplace safety. Position and torque sensors, using Hall-effect, optical, or inductive sensors, detect motor position and torque.
In modern smart factories, Onsemi deploys AI at the edge, embedding algorithms in sensors, robots, and controllers. Temperature sensors, another key offering, monitor and control temperature in various industries using thermocouples, RTDs, or semiconductor sensors. Pressure sensors condition clean-room environments and pneumatic or hydraulic systems, delivering accurate voltage readings.
Onsemi's comprehensive range of industrial sensors enables physical AI, converting physical parameters into electrical signals for real-time decision making. Their sensors, including photoelectric, ultrasonic, vision, proximity, environmental, position, torque, temperature, and pressure sensors, are integral to modern industrial automation and control systems.
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