Spin e-scooters to use AI to detect dangerous riding and parking


Spin, the micromobility unit of Ford Motor Company, today announced an exclusive partnership with Drover AI to incorporate its PathPilot technology into the next generation of the company’s best-in-class Spin Insight e-scooter monitoring platform to cities in the United States, across the United Kingdom and other regions around the world in 2021.

Spin Insight Level 2, powered by Drover AI’s ground-breaking computer vision and machine learning platform, equips Spin’s vehicles with a camera, an array of sensors, and on-board computing power. By leveraging powerful AI tools, Drover’s technology is highly adaptive and easily scaled to new environments, allowing an e-scooter to understand its surroundings in real time and assist riders in making safe riding decisions.

“Spin is proud of its record of collaborating with cities to develop solutions that benefit their citizens. We are excited to partner with Drover, who have proven to have the best-in-class micromobility AI technology, to power Spin Insight. This is Spin’s latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians. With nearly all municipalities prohibiting scooter use on pedestrian walkways, Spin Insight data — in combination with Spin’s in-app mapping technology that enables riders to find routes that maximise bike lane use — can be used as a key tool by cities to help enforce local regulations and promote safe riding behaviours in dense, urban environments like New York City,” says Derrick Ko, CEO at Spin.

Additionally, the technology will enable Spin to share accurate insights with cities about the prevalence and location of pavement/sidewalk riding and bike lane riding, which can be used to identify potential congestion issues and road damage and highlight areas that may benefit from infrastructure improvements.

“In a unique approach, Drover’s use of edge-based machine learning produces a highly nimble and scalable solution that doesn’t depend on availability of GPS, ground truth information or network-based validations. We are very excited to be working with Spin in this effort to deploy Drover’s AI-powered technology in the rapidly evolving micromobility space with the ultimate goal of ensuring safe, responsible and compliant deployments for all stakeholders in cities,” says Christian Scheder, co-founder and CEO at Drover AI.

Spin will continue to build off of this technology and its Spin Insight platform to further enhance vehicle durability and safety. Future capabilities are planned to include ADAS-like features such as detecting wrong-way riding, adjusting vehicle speed based on riding conditions, and collision warnings.

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Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).