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Revolutionizing Bike Lane Safety: Introducing SafeLane SafeLane is an innovative tool that prioritizes the safety of bike lanes in urban areas by leveraging deep learning technology to analyze traffic camera video feeds. This cutting-edge approach enables the identification and flagging of obstacles within bike lanes, providing valuable data for municipal transportation agencies.
Unlocking Real-Time Insights The collected data serves as a vital source of information for city planners, offering real-time insights on street safety that inform and enhance urban planning efforts. With SafeLane, cities can proactively address potential hazards, making biking a safer and more accessible mode of transportation for residents and visitors alike.
Empowering Safer Urban Mobility By harnessing the power of data-driven decision-making, SafeLane empowers cities to prioritize bike lane safety, ultimately contributing to a more sustainable and environmentally friendly urban mobility landscape.
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