Problem

Our client, a parking management company, was facing issues with manual ticketing and payment collection at their parking lots. The process was time-consuming and prone to errors, leading to dissatisfied customers. Additionally, they were losing revenue due to fraudulent activities such as ticket duplication and unauthorized parking.

To address these challenges, they approached us to develop a solution that would automate the entire process of ticketing and payment collection while also ensuring security and accuracy.

Learn more about our solution here.

Solution

We developed a Flutter application for an autonomous pay and park system using IoT and deep learning. The app allowed users to book parking spots in advance, receive digital tickets on their phones, and make payments through various modes such as credit card or mobile wallets.

The system used IoT sensors installed at the entrance and exit gates of the parking lot to detect vehicles entering or leaving. The deep learning algorithm analyzed the sensor data to identify license plate numbers and validate them against the booking information in real-time. This ensured that only authorized vehicles were allowed entry into the lot.

Impact

Reduced manual intervention by X%
Increased revenue by X%
Improved customer satisfaction with faster ticketing process

"This solution has revolutionized our parking management operations. We are now able to provide a seamless experience to our customers while also ensuring security and accuracy in our processes. We couldn't be happier with the results."

Team

Team Member #1 - Software Engineer
- Oversaw the development of the Flutter application and integrated it with IoT sensors
- Developed the deep learning algorithm for license plate recognition
Team Member #2 - Project Manager
- Liaised with the client to understand their requirements and provided regular updates on project progress
- Ensured timely delivery of the solution within budget constraints

Automated Parking System Boosts Revenue & Satisfaction