A New Street View-Searching AI Tool Looks for Signs Requiring Maintenance
Daniel Johnson — June 25, 2019 — Tech
References: rmit.edu.au & gizmodo
Geospatial scientists at RMIT University in Melbourne, Australia, have constructed a Google Street View searching tool with AI that looks for signs that require maintenance.
The software has the ability to identify sign information using the vast amount of information present in Google's Street View. The software can spot inaccuracies in sings with an approximately 96% success rate, and it can identify the type of sign with around a 98% success rate. The system uses only 2D images from Google Maps and metadata to find the exact location of signs that require attention.
The Street View searching AI is limited by how often Street View is updated. Often times, Street View can go for a decent length of time without updated photos, which could potentially cause some signs to be inaccurately reported on.
Image Credit: RMIT University
The software has the ability to identify sign information using the vast amount of information present in Google's Street View. The software can spot inaccuracies in sings with an approximately 96% success rate, and it can identify the type of sign with around a 98% success rate. The system uses only 2D images from Google Maps and metadata to find the exact location of signs that require attention.
The Street View searching AI is limited by how often Street View is updated. Often times, Street View can go for a decent length of time without updated photos, which could potentially cause some signs to be inaccurately reported on.
Image Credit: RMIT University
Trend Themes
1. Street View Searching AI - Disruptive innovation opportunity: Develop advanced AI algorithms to not only identify signs that require maintenance but also suggest the type of maintenance required.
2. AI-based Sign Maintenance - Disruptive innovation opportunity: Create a comprehensive AI-powered system that not only identifies signs requiring maintenance but also automatically schedules and assigns maintenance tasks to relevant authorities.
3. Improving Street Sign Monitoring - Disruptive innovation opportunity: Implement real-time monitoring systems that use AI and computer vision to continuously track and analyze street signs, providing immediate alerts for maintenance or potential risks.
Industry Implications
1. Geospatial Technology - Disruptive innovation opportunity: Develop advanced geospatial tools and platforms that integrate AI algorithms to enhance the accuracy and efficiency of sign maintenance and monitoring.
2. Transportation and Urban Planning - Disruptive innovation opportunity: Integrate AI-driven sign maintenance systems to ensure safer and more efficient transportation systems in cities, reducing maintenance costs and improving urban planning.
3. Artificial Intelligence and Computer Vision - Disruptive innovation opportunity: Develop AI-driven computer vision technology to automatically detect and classify signs in street images, enabling automated sign maintenance and monitoring across various industries.
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