With the help of two nonprofit partners and funding from the Ian Potter Foundation, Wong has crafted a prototype for a detection system that uses a camera paired with lasers to spot potholes and other potential surface hazards. It combines image processing with machine learning to analyze a user’s surroundings and provide auditory cues as he or she approaches an uneven surface. Wong presented her work last week at the IEEE International Conference on Communications in Kuala Lumpur, Malaysia.
The project is still very much in development. So far, her prototype correctly identified potholes at least 90 percent of the time in a very small batch of three tests that processed a total of 15 potholes.
via IEEE Spectrum
Image: Jeff Sherer/Getty Images
