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Low-power image sensors for cordless, autonomous vision systems.

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Image sensing is a critical element of a variety of modern technologies — automation, robotics, security systems, medical applications, drones, traffic cameras and driver assistance systems, are just a few examples where image sensing ensures that critical tasks are accomplished without a glitch. Image sensing has seen massive growth in recent years due to its increased application in vision systems for IoT. Embedding the right image sensor technology into IoT end nodes can drive greater accuracy in inspection, depth sensing, object recognition, and tracking.

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Beyond the Human Eye: Multispectral, microscopic and high-speed imaging are good examples of vision capabilities that can be incorporated into cameras to identify special aspects of products, personnel, or processes, regardless of the environment.

Reach: Cameras can go to places that humans cannot go. This makes cameras particulaly valuable in mundane applications like pipe inspection to livesaving applications in internal medicine. Space exploration and underwater exploration would not be possible without cameras.

Exceptional Quality: Special cameras allow for quality levels that no amount of human inspection can afford. Contactless dimension measurement, defect identification, etc. are just a few cases where image sensors augment human processes and ensure that standards for quality are met.

Artificial Intelligence: Cameras have become invaluable for artificial intelligence. Facial recognition for security, occupancy detection, damage assessment, gesture detection, etc. are key applications making our world safer and helping users engage with providers in new ways.


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A Complete Image Sensing System

A typical image sensing system has three main hardware components - an image acquisition block comprising optics and the image sensor, a processing engine to analyze and act on the information, and a communication interface to connect to the external world. All these components play a significant role in the performance of an imaging system. Proper selection and integration of all these components, including cameras, sensors, processors, firmware, drivers, application software, and cables result in optimal system performance.




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