Introduction
Thanks to the continued development of AI Edge computing, many new AI systems are being developed to provide solutions for a wide range of applications. One application that has seen a lot of interest in the use of AI Edge is in the use of Smart Parking systems in garages or enclosed lots.
Smart Parking works by utilizing License Plate Recognition technology to check-in cars as they enter, and to check-out cars as they leave. Usually, the system also determines how long the vehicle was parked and automatically calculates the parking fee.
Smart Parking systems were originally developed using machine vision technology. However, machine vision based systems have several limitations. In order to recognize the license plate, the car needs to be oriented in the correct spot and angle, which can cause frustration for drivers. Machine vision systems perform poorly in dim lighting conditions or in weather conditions such as fog or rain. Machine vision systems can also have issues with specialty or non-standard issue license plates.
To overcome the limitations of machine vision systems, one company has developed an AI Edge based solution for a major retail chain. They turned to AAEON to provide a hardware platform that could power their system to its fullest potential.
Challenges
The developer faced several challenges in developing an AI Edge Smart Parking solution. The system would need to operate at the Edge with little reliance on the cloud, it would need to be able to operate in an outdoor embedded environment, and also provide support for multiple ameras and sensors.
Edge System
To provide prompt service to customers, the AI system needs to be capable of operating at the edge. Relying on a cloud based system could slow down service as the system communicates with the central server. Parking lots and garages often have inconsistent network connections, which would interfere with cloud based systems.
Outdoor Conditions
The system needs to be able to be deployed in the parking lots or garages where customers are. A compact system can provide flexibility, but most importantly, the system must be able to operate in a wide range of conditions, and not be affected by dust or the exhaust from cars.
I/O Support
The AI application requires multiple camera inputs to read license plates as cars enter and leave. Additional connections with controllers such as the parking gates and payment kiosk help to increase the utility and effectiveness of the system.