With our specially developed Time-of-Flight (ToF) imagers for smartphones we are enabling exciting new applications and significantly improving existing ones.
As cars get more and more functions, natural interactions are becoming an important tool to simplify the human-machine interface (HMI) and increase passenger safety.
Ubiquitous sensing and computing in combination with big data analytics are the driving forces of the fourth industrial revolution.
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Roborock has teamed up with Infineon, pmdtechnologies and Ofilm to develop a next generation robot solution that uses hybrid Time-of-Flight (hToF) to replace the traditional laser distance scanner (LDS) module and obstacle avoidance module.
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Older robot vacuum cleaners used a random, inefficient, and slow cleaning pattern. Smart robots generate a map of their environment using sensors and simultaneous localization and mapping (SLAM) to localize, providing users with a floorplan from which areas can be selected for cleaning, or restricted from access. This whitepaper describes designing slimmer robots with new features using an approach with novel time-of-flight cameras.
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Visual sensing technology enables robots to observe, understand, and interact with their environment, much like humans. In a busy logistics warehouse, autonomous mobile robots (AMRs) swiftly transport goods, avoiding obstacles and calculating optimal paths.
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In collaboration with device manufacturer OMS and Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY), we have developed a new high-resolution camera solution that enables enhanced depth sensing and 3D scene understanding for next-generation smart consumer robots. The new hybrid Time of Flight solution combines two depth sensing concepts and helps significantly reduce maintenance effort and costs for smart robots.