Computer vision for an electric scooter. Free Technical Library News

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Computer vision for electric scooter

20.07.2022

Electric bike and scooter manufacturer and rental company Lime has announced plans to introduce Advanced Rider Assistance Systems.

For this, a proprietary computer vision platform was created to detect sidewalk driving. In such cases, the user will be notified of the violation by an audible signal or by forcibly reducing the speed of movement.

Lime will begin testing the new system on 400 scooters in San Francisco by mid-August. By the end of the year, it is planned to expand the pilot project to six cities, including Paris, where the company demonstrated the new technology for the first time.

It is noted that in recent times, many large micromobility services have tried to implement some form of ARAS for scooters. Bird, Superpedestrian, and Neuron rely on location-based systems to track where users drive and park. Voi, Spin and Zipp have tried third-party computer vision technologies.

The company has also been testing third-party computer vision systems to test the viability of this approach. Ultimately, the decision was made to invest in a proprietary technology that would detect and prevent sidewalk incidents.

ARAS systems based on location and computer vision have many supporters. Adherents of the first option note that the location system is cheaper and easier to integrate.

It is also noted that computer vision technology is not yet developed enough to be truly effective. Not to mention, computer vision requires additional hardware that can break or be vandalized on the streets.

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