Abstract: Properly parking personal mobility vehicles (PMVs) is an important for safety and public satisfaction. The large number of daily rides of ride-share PMVs makes it impossible to verify manually that each PMV is properly parked. Aspects of this disclosure include systems and methods for verifying that PMVs are properly parked. These systems and methods can include training a machine learning model on a server. The system can request that users submit images to the server, such that the server can verify that the user properly parked the PMV. The server can transmit a finished indication when it determines that the user properly parked the vehicle. The server can transmit instructions to the user to take various actions when it determines that the user improperly parked the vehicle or when the image is insufficient to determine whether the user properly parked the vehicle.

Abstract: Properly parking personal mobility vehicles (PMVs) is an important for safety and public satisfaction. The large number of daily rides of ride-share PMVs makes it impossible to verify manually that each PMV is properly parked. Aspects of this disclosure include systems and methods for verifying that PMVs are properly parked. These systems and methods can include training a machine learning model on a server. The system can request that users submit images to the server, such that the server can verify that the user properly parked the PMV. The server can transmit a finished indication when it determines that the user properly parked the vehicle. The server can transmit instructions to the user to take various actions when it determines that the user improperly parked the vehicle or when the image is insufficient to determine whether the user properly parked the vehicle.

Abstract: Properly parking personal mobility vehicles (PMVs) is an important for safety and public satisfaction. The large number of daily rides of ride-share PMVs makes it impossible to verify manually that each PMV is properly parked. Aspects of this disclosure include systems and methods for verifying that PMVs are properly parked. These systems and methods can include training a machine learning model on a server. The system can request that users submit images to the server, such that the server can verify that the user properly parked the PMV. The server can transmit a finished indication when it determines that the user properly parked the vehicle. The server can transmit instructions to the user to take various actions when it determines that the user improperly parked the vehicle or when the image is insufficient to determine whether the user properly parked the vehicle.

Abstract: Properly parking personal mobility vehicles (PMVs) is an important for safety and public satisfaction. The large number of daily rides of ride-share PMVs makes it impossible to verify manually that each PMV is properly parked. Aspects of this disclosure include systems and methods for verifying that PMVs are properly parked. These systems and methods can include training a machine learning model on a server. The system can request that users submit images to the server, such that the server can verify that the user properly parked the PMV. The server can transmit a finished indication when it determines that the user properly parked the vehicle. The server can transmit instructions to the user to take various actions when it determines that the user improperly parked the vehicle or when the image is insufficient to determine whether the user properly parked the vehicle.