Sensors empowering artificial intelligence (AI)

Ultra-precise sensors for high-performance artificial intelligence and machine learning systems.

From Sensing to Artificial Intelligence

ams OSRAM smart sensors are the foundation of AI-powered systems, enabling machine learning by delivering high-quality, real-time data. Their precision and reliability ensure that algorithms are trained in accurate, context-rich information - crucial for making intelligent decisions. Whether monitoring environmental conditions, tracking motion, capturing biometric signals or imaging surroundings, sensors transform physical phenomena into digital insights- this data convert machine learning models, allowing them to detect patterns, adapt to changes, and continuously improve. ams OSRAM's AI-ready sensors enhance the performance, efficiency, and scalability of AI applications across industries - from healthcare and wearables to robotics and industrial automation. In essence, smart sensors enhance data classification during model training and evaluation with unique and non-overlapping datasets. – They enable AI to interpret the characteristic data signatures and engage with the world more intelligently.

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Empowering tomorrow’s AI systems with smart sensor portfolio

ams OSRAM offers a broad portfolio of AI-ready sensors tailored for edge applications: instead of streaming huge amounts of raw data into an AI-engine, our sensors provide embedded preprocessing capabilities to expose only the relevant data to it. From dToF sensors with embedded multi-zone depth map histogram processing to image sensors with automatic object detection for system wake-up, from light sensors in intelligent displays to spectral sensors for miniaturized spectroscopic analysis of objects, substances, materials or material-states: each sensor delivers relevant, compact and application-required data.

Choosing the right sensor is a strategic decision. ams OSRAM sensors, optimized for edge AI, accelerate model training and enhance real-time analytics, accuracy, and efficiency - while reducing complexity to unlock smarter applications.

 

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