AI-Based Smart Parking System
Smart parking systems have become increasingly popular over the years, as they help to reduce congestion and save time. A multi-storey car parking facility in the heart of the city was facing a severe parking problem where hundreds of cars were parked every day and the parking usually became full. People who wanted to park their cars had no way of knowing if the parking was full at any given time. The parking facility administration was looking for a solution to improve the parking experience for citizens by counting the number of cars entering and exiting the car park. They turned to an AI-based smart parking system to address these issues.
The solution used Computer Vision algorithms on the existing CCTV camera setup to analyze the video feeds in the parking area. The solution could identify and count the license plates of vehicles entering and leaving the parking lot. The system used this information to keep track of the number of available spots in the parking lot. The solution used machine learning algorithms to predict the availability of parking spots and display the number of available spots at the parking entrance. The algorithms could analyze historical data on parking usage and predict parking demand at different times of the day. This information was used to optimize the use of parking spaces and reduce waiting times for drivers.
The AI-based smart parking system was a success. Drivers could know about the availability of parking spots without driving around the parking lot. This saved time and reduced the amount of fuel consumed by cars. Our video analytics solution also helped the parking lot administration to generate revenue from the parking lot. The system could accurately record the number of vehicles entering and leaving the parking lot, and the parking fees collected.
The AI-based smart parking system was an effective video analytics solution to the parking problem. The solution helped reduce traffic congestion and improve the parking experience for citizens. It could be replicated in other parking facilities facing similar parking problems to achieve similar results.