Human-Inspired Computer Vision to Transform IoT, Autonomous Navigation

Researchers at the University of Pittsburgh are enhancing IoT and autonomous navigation through human-like computer vision technology.

By Sunil Sonkar
2 Min Read
Human-Inspired Computer Vision Set to Transform IoT and Autonomous Navigation

IoT and autonomous navigation are the two primary aspects of recent developments in the world technology. Researchers at the University of Pittsburgh are working on a unique project to enhance implications of these two. They are working on computer vision technology, which means the technology can see as humans see things around us.

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The research is basically based on human visual system. The approaches include neuromorphic engineering and it is a burgeoning field that mainly focuses in emulating biological processes in streamlining visual processing systems.

The team is being led by Dr. Rajkumar Kubendran, who has lately secured a prestigious grant from the National Science Foundation for his work in developing energy-efficient and data-efficient neuromorphic systems.

The vision of Kubendran involves a fundamental overhaul of the traditional computer vision pipeline, leveraging bio-inspired sensors, processors as well as algorithms. He is basically focusing on reducing power consumption and data transfer overheads.

The research can catalyze transformation across various industries such as healthcare, military defense, IoT and industrial automation. It can be applied in enhancing diagnostic capabilities in healthcare settings and bolstering security measures in defense systems.

The research can simultaneously pave the way for significant advancements in consumer technologies. We may even witness it in self-driving vehicles equipped with unparalleled perception capabilities or smart surveillance systems that remain vigilant round the clock in the future.

The breakthrough in human-like computer vision may redefine our interactions with technology. We will step into an era of heightened efficiency, intelligence and adaptability too. The possibilities for innovation are promising and may reshape our world.

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