Abstract: A system and method for visualizing a dental image that includes a plurality of high resolution dental data, a plurality of tooth objects, at least one threshold and a processing module is described. The plurality of high resolution dental data that is generated using computed tomography. The plurality of tooth objects selected for each tooth from the dental data includes at least one of an enamel object, a dentin object, a pulp object, a root object, and a nerve object. The at least one threshold is used to detect at least one problem tooth. The processing module detects at least one problem tooth. Additionally, the processing module mathematically models the growth of at least one tooth object, the decay for at least one tooth object, or the combination thereof. Furthermore, the processing module determines the effect the problem tooth has on at least one other tooth object.

Abstract: A system for identifying dental objects, visualizing a dental image, and method for identifying dental anomalies are described. The system for identifying dental objects comprises a 3-D dental image, a database, a digital processing component, and an interactive graphical user interface is described. The 3-D dental image is generated by a medical imaging device. The database has data fields that include locations for teeth, locations for each section of tooth, standard shapes associated with individual teeth, standard shapes associated with each of the sections of tooth, and bone density data for each section of tooth. The digital processing component is configured to process the 3-D image and is in operative communication with the database. The digital processing component is configured to identify an object by combining a plurality of voxels having a common density and tagging the object. The interactive graphical user interface (GUI) permits the user to interact with the object.

Abstract: A system for identifying dental objects, visualizing a dental image, and method for identifying dental anomalies are described. The system for identifying dental objects comprises a 3-D dental image, a database, a digital processing component, and an interactive graphical user interface is described. The 3-D dental image is generated by a medical imaging device. The database has data fields that include locations for teeth, locations for each section of tooth, standard shapes associated with individual teeth, standard shapes associated with each of the sections of tooth, and bone density data for each section of tooth. The digital processing component is configured to process the 3-D image and is in operative communication with the database. The digital processing component is configured to identify an object by combining a plurality of voxels having a common density and tagging the object. The interactive graphical user interface (GUI) permits the user to interact with the object.

Abstract: A video camera mounted on a parking enforcement patrol vehicle and connected to a computer near the operator. The system is driven along a patrol route where parked vehicles are governed by a posted time limit. The system enforces the local parking regulation by automatically determining whether or not each parked car has been parked longer than the posted time limit. Violations are detected by applying a License Plate Recognition algorithm to the images. Each license plate number is time-tagged, geo-referenced and entered into a local database. When the patrol vehicle re-traces the patrol route after the posted parking time limit has expired, the database is searched to flag vehicles that were observed at the same location during the previous circuit and therefore in violation of the parking regulations. When the system detects a parking violation, it prints a parking citation that the operator affixes to the offending parked vehicle.

Abstract: A video camera mounted on a parking enforcement patrol vehicle and connected to a computer near the operator. The system is driven along a patrol route where parked vehicles are governed by a posted time limit. The system enforces the local parking regulation by automatically determining whether or not each parked car has been parked longer than the posted time limit. Violations are detected by applying a License Plate Recognition algorithm to the images. Each license plate number is time-tagged, geo-referenced and entered into a local database. When the patrol vehicle re-traces the patrol route after the posted parking time limit has expired, the database is searched to flag vehicles that were observed at the same location during the previous circuit and therefore in violation of the parking regulations. When the system detects a parking violation, it prints a parking citation that the operator affixes to the offending parked vehicle.