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Autonomous systems like drones, self-driving cars, and robots are increasingly becoming a part of our daily lives, but they often face challenges in "seeing" clearly in various environments, such as bright sunlight, low light, or complex backgrounds. Nature, however, may already offer a solution to this problem.
Cats are known for their remarkable ability to see in both bright light and darkness. Their eyes are specially adapted to handle different lighting conditions: during the day, their vertical slit-shaped pupils help them focus and minimize glare, while at night, their pupils expand to allow more light in, and a reflective layer called the tapetum lucidum enhances their night vision, giving their eyes a characteristic glow.
Building on this natural design, a group of Korean researchers led by Professor Young Min Song from Gwangju Institute of Science and Technology (GIST) developed a new vision system that mimics the structure of feline eyes. The system incorporates a slit-like aperture that functions similarly to a cat's vertical pupil, filtering out unnecessary light to focus on important objects. Additionally, the system uses a reflective layer similar to that in cats' eyes to improve visibility in low-light conditions.
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This innovative research, published in the journal Science Advances on September 18, 2024, marks a significant advancement in artificial vision systems, offering improved object detection and recognition capabilities. It positions the technology at the forefront of breakthroughs in autonomous robotics.
"Robotic cameras often struggle with spotting objects in complex or camouflaged backgrounds, especially when lighting conditions change. Our design addresses this by allowing robots to blur out unnecessary details and focus on key objects," explains Professor Song. The approach is also energy-efficient, relying on the lens design rather than extensive computer processing.
This groundbreaking technology opens up exciting possibilities for real-world applications, transforming robotic vision. The advanced system promises to enhance the precision of drones, security robots, and self-driving vehicles, enabling them to navigate intricate environments and perform tasks with unmatched accuracy. "From search-and-rescue operations to industrial monitoring, these advanced robotic eyes are set to complement or even replace human efforts in various critical situations," says Professor Song.
Cats are known for their remarkable ability to see in both bright light and darkness. Their eyes are specially adapted to handle different lighting conditions: during the day, their vertical slit-shaped pupils help them focus and minimize glare, while at night, their pupils expand to allow more light in, and a reflective layer called the tapetum lucidum enhances their night vision, giving their eyes a characteristic glow.
Building on this natural design, a group of Korean researchers led by Professor Young Min Song from Gwangju Institute of Science and Technology (GIST) developed a new vision system that mimics the structure of feline eyes. The system incorporates a slit-like aperture that functions similarly to a cat's vertical pupil, filtering out unnecessary light to focus on important objects. Additionally, the system uses a reflective layer similar to that in cats' eyes to improve visibility in low-light conditions.
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This innovative research, published in the journal Science Advances on September 18, 2024, marks a significant advancement in artificial vision systems, offering improved object detection and recognition capabilities. It positions the technology at the forefront of breakthroughs in autonomous robotics.
"Robotic cameras often struggle with spotting objects in complex or camouflaged backgrounds, especially when lighting conditions change. Our design addresses this by allowing robots to blur out unnecessary details and focus on key objects," explains Professor Song. The approach is also energy-efficient, relying on the lens design rather than extensive computer processing.
This groundbreaking technology opens up exciting possibilities for real-world applications, transforming robotic vision. The advanced system promises to enhance the precision of drones, security robots, and self-driving vehicles, enabling them to navigate intricate environments and perform tasks with unmatched accuracy. "From search-and-rescue operations to industrial monitoring, these advanced robotic eyes are set to complement or even replace human efforts in various critical situations," says Professor Song.