AI Parking Analysis for Levy Fleets

Levy Fleets currently uses the integration with Captur.ai to implement real-time image analysis for parking compliance and verification. Captur is an AI-powered software system, trained on millions of end-of-ride images, providing immediate parking feedback.

Main Benefits of Using AI-Powered Image Analysis:

•Valid Image Detection: The AI module determines if the image is valid (e.g., the vehicle is present, good quality photo, etc.). If the photo is not valid, the user has to retake the photo.

•Live Feed of AI-Analyzed Parking Images: Stay on top of bad parking cases with real-time feedback (Possible answers: good parking, improvable parking, bad parking, or insufficient info).

•Redefine Parking Zones: Use this data to redefine parking zones, penalize repeat offenders, and minimize bad parking behavior.

•Reduce Support Tickets: Decrease the number of support tickets for your service by improving parking compliance.

Captur.ai Helps Determine If:

•The scooter is visible in the end-ride photo.

•The way the scooter was parked is acceptable or not.

How It Works:

1. The LEVY system takes the first photo of the end-ride photo sequence from the app and sends it to Captur.ai. Within 3-5 seconds (we show a spinner in the app while waiting), we receive an answer.

2.If all is good, we allow the user to end the ride.

3.If the photo is marked as unacceptable by Captur.ai (e.g., no vehicle in the image), we show an alert message: “Please retake a photo and make sure the vehicle is visible on the camera” and ask the user to retake the photo until Captur.ai approves the image. If the user tries three times and still can’t submit a correct photo approved by Captur.ai, the system will allow the user to end the ride with the existing photo on the fourth attempt.

4.After the successful ride end, we send the data to the dashboard and add a flag indicating “good/bad/improvable parking.”