Turn Images into a Decision-making Tool
Parquery's smart parking solution extracts real-time parking occupancy data from camera images and transforms this parking data into meaningful factual knowledge through detailed statistics and analytics. At first glance, the binary (yes/no) decision of whether a parking space is occupied or vacant might appear limited. Observed over a longer period of time, however, it becomes a powerful tool for identifying temporal and spatial usage patterns.
Identify Patterns: Occupancy, Turnover, Duration
Once we expand this plain occupancy data by determining whether a vehicle in the current image of a parking spot is the same as in the previous one, we gain a range of information. It provides us with the vehicle’s arrival and departure times, from which we can establish the individual parking operations for each parking space. Hence, we can determine both the parking duration (for how long a vehicle stays) and the turnover (frequency of change, or how many different vehicles park in one spot) for each parking spot.
These three variables - occupancy, turnover, and duration - provide a comprehensive picture of the parking lot utilization and allow identifying occupancy patterns. They can be observed over time to find daily, weekly, monthly, seasonally, or yearly repeating patterns; and over area to find spatial differences in the utilization of a parking lot, e.g., locate popular spots and less used ones (high vs. low average occupancy), identify those for quick stops (short duration and high turnover, e.g., to drop off passengers), find those used for longer-term stays (long duration and low turnover).
Combine Several Data Sources for Deeper Understanding
Moreover, if we correlate parking data with additional domain information, we obtain in-depth analytics and a profound understanding of the situation. Such domain information might include, e.g., ticketing, sales, footfall data (people counting), marketing campaigns, or business hours.
In addition, Parquery’s smart parking data allows verifying the revenue for metered or paid parking areas: Knowing how long vehicles were parked and in what period (of the day, week, month), we can estimate the expected income. Comparing this data with the collected revenues can reveal irregularities caused by, e.g., drivers, parking fee collectors, malfunctioning parking meters, etc. Parquery’s Dashboard offers a convenient user interface for revenue estimation.
Obtain Insights While Protecting Privacy
Parquery does not identify individual vehicles or process private and personal data such as license plates. Instead, the solution determines whether vehicles in successive images of the same parking spot are identical solely using their appearance (e.g., shape, color, type of vehicle, etc.).
Thus, Parquery’s smart parking analysis grants understanding of a parking lot without compromising drivers’ privacy. Privacy and data protection are at the forefront of Parquery’s considerations and, thus, built directly into the conceptual and technical solution.
Parquery AG a leading technology provider in the field of Computer Vision and Deep Learning.
Learn more about how Parquery provides analytics and statistics at https://parquery.com/parquery-analytics-statistics/ or contact us at email@example.com for more information regarding Smart Parking and other mobility solutions.