Abstract: A system for automatically detect the occupancy of a parking space, comprising: a server adapted to receive images of at least one parking area from one or more cameras, wherein the server is configured for detecting a vacant parking space within the at least one parking area, the server comprising: i) a visual descriptor module for analyzing the obtained images as to detect parking spaces within a parking area and to extract visual descriptor images; ii) a statistical data analyzer for clustering parking space features; iii) a label assigner module for assigning labels for each cluster; and iv) a memory unit for storing said features and the cluster and labels.

Abstract: The present invention relates to a system for identifying a vehicle approaching a parking space, from one or more video images while cross-referencing the video-image based identification with readings from sensors of a mobile device present within the vehicle, wherein after identification of the vehicle, it is tracked until reaching a parking space, during parking in the parking space and until the vehicle leaves the parking space.

Abstract: The present invention relates to a system and method for automatically detecting and mapping points-of-interest (POI) such as parking spaces, and accordingly locating and directing drivers to available parking spaces as close as possible to desired POI and locations. The system is completely autonomous and independent and it uses a Parking Space Detection module that employs machine learning and computer vision techniques for learning the surface of the parking area, the unoccupied life span of a parking space, the occupancy life span of the parking space, detection of suspicious vehicles in terms of parking searcher to independently predict in which available parking space they may parked, and accordingly to navigate in real-time a user to a parking space that has the highest probability to remain free on arrival of that user.