Intel AI-Powered Backpack Helps Visually Impaired Navigate World
Jagadish K. Mahendran has developed an AI-powered, voice-activated backpack for the visually impaired, enhancing navigation and obstacle perception. Utilizing Intel's technology, it detects traffic signs, obstacles, and changes in elevation. The device features a Luxonis OAK-D spatial AI camera for depth perception, significantly improving independent mobility. The system operates on a small computing unit with an eight-hour battery life, responding to voice commands via Bluetooth earphones. It addresses the needs of the 285 million visually impaired globally, filling gaps in existing navigation solutions.
- Development of an innovative AI-powered backpack improves navigation for visually impaired individuals.
- Utilizes advanced Intel technology, enhancing obstacle detection and depth perception capabilities.
- Backpack design incorporates a compact system with a battery life of approximately eight hours.
- None.
What’s New: Artificial intelligence (AI) developer Jagadish K. Mahendran and his team designed an AI-powered, voice-activated backpack that can help the visually impaired navigate and perceive the world around them. The backpack helps detect common challenges such as traffic signs, hanging obstacles, crosswalks, moving objects and changing elevations, all while running on a low-power, interactive device.
Jagadish K. Mahendran models his AI-powered, voice-activated backpack that can help the visually impaired navigate and perceive the world around them. (Graphic: Business Wire)
“Last year when I met up with a visually impaired friend, I was struck by the irony that while I have been teaching robots to see, there are many people who cannot see and need help. This motivated me to build the visual assistance system with OpenCV’s Artificial Intelligence Kit with Depth (OAK-D), powered by Intel.”
–Jagadish K. Mahendran, Institute for Artificial Intelligence, University of Georgia
Why It Matters: The World Health Organization estimates that globally 285 million people are visually impaired. Meanwhile, visual assistance systems for navigation are fairly limited and range from Global Positioning System-based, voice-assisted smartphone apps to camera-enabled smart walking stick solutions. These systems lack the depth perception necessary to facilitate independent navigation.
“It’s incredible to see a developer take Intel’s AI technology for the edge and quickly build a solution to make their friend’s life easier,” said Hema Chamraj, director, Technology Advocacy and AI4Good at Intel. “The technology exists; we are only limited by the imagination of the developer community.”
How It Works: The system is housed inside a small backpack containing a host computing unit, such as a laptop. A vest jacket conceals a camera, and a fanny pack is used to hold a pocket-size battery pack capable of providing approximately eight hours of use. A Luxonis OAK-D spatial AI camera can be affixed to either the vest or fanny pack, then connected to the computing unit in the backpack. Three tiny holes in the vest provide viewports for the OAK-D, which is attached to the inside of the vest.
“Our mission at Luxonis is to enable engineers to build things that matter while helping them to quickly harness the power of Intel AI technology,” said Brandon Gilles, founder and chief executive officer, Luxonis. “So, it is incredibly satisfying to see something as valuable and remarkable as the AI-powered backpack built using OAK-D in such a short period of time.”
The OAK-D unit is a versatile and powerful AI device that runs on Intel Movidius VPU and the Intel® Distribution of OpenVINO™ toolkit for on-chip edge AI inferencing. It is capable of running advanced neural networks while providing accelerated computer vision functions and a real-time depth map from its stereo pair, as well as color information from a single 4k camera.
A Bluetooth-enabled earphone lets the user interact with the system via voice queries and commands, and the system responds with verbal information. As the user moves through their environment, the system audibly conveys information about common obstacles including signs, tree branches and pedestrians. It also warns of upcoming crosswalks, curbs, staircases and entryways.
More Context: A Vision System for the Visually Impaired (Case Study) | Visual Assistance System for the Visually Impaired (Video) | Intel OpenVINO Toolkit | Artificial Intelligence at Intel
About Intel
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