Project Overview
We worked with our Swiss partner, Walter AG, on a special installation in a truck parking lot. It was our first project focused only on trucks. Through this work, we proved that our AI model is strong enough for this kind of installation. We also showed that our system makes more sense than traditional ground sensors. We are grateful to Walter AG for trusting us with this important project.
“I’m also testing an alternative solution. I really like how simple your solution is. You can quickly deploy the solution and show it to customers. I haven’t made a detailed comparison, but your solutions seem to have a higher precision out of the box.
The other solution seems to train Neural Network specifically for every parking field. It starts with a pre-trained model and optimizes it. The user or the solution provider can label wrongly detected parking spots to achieve improvements. I don’t know the long-term precision, but your solution is better right out of the box, and it is easier.
The other solution has additional features with recording images and parking space occupation, a lot of statistics including estimated earnings (if the parking spots are paid), reserving parking spots, how long a parking spot was occupied and sending out emails if a car stays too long (e.g. for sending out a person to hand out fines) . These features could be interesting for other customers, but we (as a system integrator) would rarely use it.”
Fabian Walter, Business Development Manager, Walter AG
Categories
- Truck detection
- Truck parking
Site Count
1
Camera Count
10
Lot Count
18
