Parkly uses image sensors to capture live video streams from outdoor parking spaces. The video streams are then analyzed using machine learning and artificial intelligence techniques to determine the occupancy of parking spaces. The analysis is intentionally done at the edge to reserve network resources. In contrast to other technologies used to determine parking space occupancy, Parkly stands out as an innovative and robust technology able to provide extremely accurate results with lower cost of deployment.
Parking Occupancy Technologies
Ground Sensors
Fixed sensors mounted in proximity of the parking spots
High accuracy and average reliability needing continuous maintenance
High Deployment and maintenance costs
Crowd-Based
Sensors connect to cars and collect data while cars are moving
Low accuracy and reliability depending on probabilistic methods
Very low deployment cost depending on moving cars
Image Sensors
Parking spot occupancy is determined from static images
High accuracy and low reliability
Low deployment cost using existing surveillance camera
Parkly
Parking spot occupancy is determined using video-based technology
High accuracy and reliability using ML techniques
Low Deployment Cost
Grid Comparison
