Present invention provides a system and method that includes installation of one or more cameras at various locations on a smart driving yard or in a parking lot. These cameras capture activity of a vehicle in the smart driving yard and perform an analysis using Computer Vision and machine learning. In some embodiments, one or more drones may also be employed for capturing the vehicle activity. The vehicle location is identified based on the individual pose of markers installed on the vehicle for easier object localization. The vehicle is then localized and its location is marked on a 2-dimensional map of the yard. Subsequently, a lane model is applied to identify driving violations or errors that a driver commits while driving. Subsequently, a lane model based on decision trees algorithm is trained to identify if the vehicle touches/intersects any of the parking line markings or any zones of interest.
In an aspect of the present disclosure relates to a network involving humans and AI based systems working in conjunction to perform tasks such as traffic violation detection, infrastructure monitoring, traffic flow management, crop monitoring etc. from visual data acquired from numerous data acquisition sources. The system includes a network of electronic mobile devices with AI capabilities, connected to a decentralized network working towards capturing high quality data for finding events or objects of interest in the real world, retraining AI models, for processing the high volumes of data on decentralized or centralized processing units and also being used for the verification of the outputs of the AI models. The system talks about many annotation techniques on smartphones for crowdsourced AI Data Labeling for AI Training.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/54 - Trafic, p.ex. de voitures sur la route, de trains ou de bateaux
Overall efficiency and/or flight time of UAVs and Drones can be increased by adding elements containing lighter-than-air gasses; and/or by reducing and/or eliminating the power supplied to any combination of the motors to reduce overall power consumption. In an aspect the configuration of a blimp drone comprises at least one air cavity / chamber / container filled with lighter-than-air gasses. The 3D chambers are made from swept or extruded closed 2D geometry and are detachable from the Drone and can be transparent or camouflaged in color. To maintain control and altitude of the aircraft, lifting surfaces can be incorporated. Such lifting surfaces may include active and/or passive control surfaces to maintain flight stability. Additionally, cavities, fissures, orifices and valves may be added to the surface of the flying vehicle to gain other efficiency advantages.
An on-demand, crowdsourced, roadway stewardship system with video reporting features is disclosed. The invention described herein is comprised of a system that allows users with mobile device cameras to record and report roadway safety incidents, traffic violations, crimes and infrastructure problem. Users are encouraged to become stewards by engaging in the system's rewards program. An on-demand style cloud infrastructure is presented which speeds up video processing and citations. Objects of the invention are to enhance safety and increase public participation in safety.
G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande
H04W 4/38 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour la collecte d’informations de capteurs
G08G 1/054 - Détection du mouvement du trafic pour le comptage ou la commande avec des dispositions pour déterminer la vitesse ou l'excès de vitesse en photographiant les véhicules en excès de vitesse
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p.ex. véhicule à nuage ou véhicule à domicile
