{"id":10326,"date":"2022-01-07T07:23:50","date_gmt":"2022-01-07T06:23:50","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/developing-the-next-generation-of-artificial-vision-aids\/"},"modified":"2025-02-20T12:21:56","modified_gmt":"2025-02-20T11:21:56","slug":"developing-the-next-generation-of-artificial-vision-aids","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/robotics\/developing-the-next-generation-of-artificial-vision-aids","title":{"rendered":"Developing the next generation of artificial vision aids"},"content":{"rendered":"

A new technology solution that will provide low-power systems for use in bionic eyes, has been jointly developed by academics from the Harbin Institute of Technology in China and Northumbria University<\/em><\/p>\n

Working in partnership with a research group led by Professor PingAn Hu from the Harbin Institute, Northumbria’s Professor Richard Fu described their newly developed method for controlling the artificial synaptic devices used in bionic retinas, robots and visual prostheses, as a “significant breakthrough.”<\/p>\n

The team discovered that injecting elements of the soft metal, indium, into a two-dimensional (2D) material called molybdenum disulphide (MoS2), could improve electrical conductivity and reduce the power consumption of the optical synapses used in the development of bionic eyes.<\/p>\n

The technology was then tested within the structure of an electronic retina and found to produce the high-quality image sensing functions required.<\/p>\n

The team’s work has been published in a paper called “Ultralow Power Optical Synapses Based on MoS2 Layers by Indium-Induced Surface Charge Doping for Biomimetic Eyes,” in the scientific journal, Advanced Materials<\/em>.<\/p>\n

Professor Fu, who is an expert in shape memory, piezoelectric thin films, nanomaterials and nanodevices, explained: “The current visual systems are based on physically separated sensors, memories and processing units. These systems often have high power consumption and difficulties in performing complex image learning and processing tasks. Therefore, our newly developed method is of great significance for the next generation of artificial visual systems.”<\/p>\n

Bionic eye implants work inside the existing eye structures or in the brain. They are designed to achieve functional vision goals\u2014as opposed to physical, cosmetic ones. Several bionic eye implants are in development, but currently, very few are available and are suitable only for blindness caused by specific eye diseases. However, as research continues, more and more people may soon benefit from high-tech bionic eyes.<\/p>\n

Professor Fu’s innovative ideas have already contributed to advances in piezoelectric materials-based biosensing and diagnostic tools, cell patterning and manipulation. He also has an international reputation for his work around the advancement of shape memory thin films and polymers used in microsurgery and drug delivery. He has developed nano-structured smart materials for gas sensing and renewable energy applications.<\/p>\n

A Professor in Smart Materials and Microsystems, Professor Fu, works within Northumbria’s Department of Mathematics, Physics and Electrical Engineering.<\/p>\n

Source:<\/em> https:\/\/phys.org<\/a> Image: <\/em>Terelyuk\/Shutterstock<\/em><\/a><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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