Abstract: A vehicle location tracking system comprises a plurality of transceivers, a coordinator, and a plurality of identification tags. The plurality of identification tags are coupled to a fleet of vehicles to be tracked. The transceivers measure the strength of a signal emitted by an identification tag coupled to a vehicle and communicate the measured signal strength to the coordinator. The indoor vehicle location tracking system estimates the location of the vehicle based on the measured signal strength.

Abstract: A citation system may receive data, including an image, from a handheld photo enforcement unit and issue a citation based on the image with minimal officer input. The citation system manipulates photos to identify license plate numbers involved in an event. The citation system requests identification from a driver database, issues a citation, and forwards the citation according to information from the driver database.

Abstract: A vehicle location tracking system comprises a plurality of transceivers, a coordinator, and a plurality of identification tags. The plurality of identification tags are coupled to a fleet of vehicles to be tracked. The transceivers measure the strength of a signal emitted by an identification tag coupled to a vehicle and communicate the measured signal strength to the coordinator. The indoor vehicle location tracking system estimates the location of the vehicle based on the measured signal strength.

Abstract: A system for tracking returned items may include a return recognition device, a storage compartment, and a set of tags. The tags may be coupled with items to be returned. When the items are placed within the storage compartment, the return recognition device may read the tag to collect information about the returned item. The system may send a signal with a timestamp indicating that the item has been successfully returned.

Abstract: A vehicle location tracking system comprises a plurality of transceivers, a coordinator, and a plurality of identification tags. The plurality of identification tags are coupled to a fleet of vehicles to be tracked. The transceivers measure the strength of a signal emitted by an identification tag coupled to a vehicle and communicate the measured signal strength to the coordinator. The indoor vehicle location tracking system estimates the location of the vehicle based on the measured signal strength.

Abstract: A citation system may receive data, including an image, from a handheld photo enforcement unit and issue a citation based on the image with minimal officer input. The citation system manipulates photos to identify license plate numbers involved in an event. The citation system requests identification from a driver database, issues a citation, and forwards the citation according to information from the driver database.

Abstract: A system and method automatically detect traffic violations on roadways or portions thereof that are restricted for use only by permitted vehicles. The system comprises a controller, a vehicle sensor, and a camera. The vehicle sensor detects vehicle movement on a restricted roadway. Data from the camera and the vehicle sensor are analyzed by the controller to detect a vehicle traveling on the restricted roadway, to gather static vehicle information to determine whether the detected vehicle is permitted to use the restricted roadway, and to determine whether movements of the detected vehicle on the restricted roadway constitute a violation of traffic rules in effect on the roadway. The method captures at least one image of a vehicle on a region of the roadway, detects a vehicle in the region, collects vehicle movement information, and detects a violation of traffic rules in effect using at least the collected vehicle movement information.

Abstract: Multiple-object speed tracking apparatuses are disclosed, including a camera configured to capture a set of images of a monitored area (e.g., a roadway). The camera's longitudinal axis may be positioned at any viewing angle relative to a longitudinal axis of a roadway such that at least two moving objects moving on the roadway are included in a set of high or low resolution images. A computer system is configured to analyze the set of images to detect the two moving objects and substantially simultaneously determine a calculated rate of speed of at least one of the two moving objects. The computer system also provides an on-site speed calibration process for transforming locations of an image among the set of images into real-world coordinates by considering both perspective and scale of the image. An apparatus mount for at least one of either the camera or the computer system is also disclosed.

Abstract: Multiple-object speed tracking apparatuses are disclosed, including a camera configured to capture a set of images of a monitored area (e.g., a roadway). The camera's longitudinal axis may be positioned at any viewing angle relative to a longitudinal axis of a roadway such that at least two moving objects moving on the roadway are included in a set of high or low resolution images. A computer system is configured to analyze the set of images to detect the two moving objects and substantially simultaneously determine a calculated rate of speed of at least one of the two moving objects. The computer system also provides an on-site speed calibration process for transforming locations of an image among the set of images into real-world coordinates by considering both perspective and scale of the image. An apparatus mount for at least one of either the camera or the computer system is also disclosed.

Abstract: Multiple-object speed tracking apparatuses are disclosed, including a camera configured to capture a set of images of a monitored area (e.g., a roadway). The camera's longitudinal axis may be positioned at any viewing angle relative to a longitudinal axis of a roadway such that at least two moving objects moving on the roadway are included in a set of high or low resolution images. A computer system is configured to analyze the set of images to detect the two moving objects and substantially simultaneously determine a calculated rate of speed of at least one of the two moving objects. The computer system also provides an on-site speed calibration process for transforming locations of an image among the set of images into real-world coordinates by considering both perspective and scale of the image. An apparatus mount for at least one of either the camera or the computer system is also disclosed.

Abstract: Multiple-object speed tracking apparatuses are disclosed, including a camera configured to capture a set of images of a monitored area (e.g., a roadway). The camera's longitudinal axis may be positioned at any viewing angle relative to a longitudinal axis of a roadway such that at least two moving objects moving on the roadway are included in a set of high or low resolution images. A computer system is configured to analyze the set of images to detect the two moving objects and substantially simultaneously determine a calculated rate of speed of at least one of the two moving objects. The computer system also provides an on-site speed calibration process for transforming locations of an image among the set of images into real-world coordinates by considering both perspective and scale of the image. An apparatus mount for at least one of either the camera or the computer system is also disclosed.

Abstract: A system and method automatically detect traffic violations on roadways or portions thereof that are restricted for use only by permitted vehicles. The system comprises a controller, a vehicle sensor, and a camera. The vehicle sensor detects vehicle movement on a restricted roadway. Data from the camera and the vehicle sensor are analyzed by the controller to detect a vehicle traveling on the restricted roadway, to gather static vehicle information to determine whether the detected vehicle is permitted to use the restricted roadway, and to determine whether movements of the detected vehicle on the restricted roadway constitute a violation of traffic rules in effect on the roadway. The method captures at least one image of a vehicle on a region of the roadway, detects a vehicle in the region, collects vehicle movement information, and detects a violation of traffic rules in effect using at least the collected vehicle movement information.

Abstract: Systems and methods are disclosed for detecting and recording an event, e.g., a traffic accident, using a sound monitor configured to capture ambient sound of a region under surveillance. The ambient sound is processed and compared with a pre-determined sound profile indicative of the event. At least one camera is configured to capture images of the region and a storage means temporarily stores the images. An identifying means identifies stored images associated with the event so that the stored images can be processed to provide evidence of the event. Events may be communicated in real-time between violation detection and recording systems and a server. A database stores information related to the events, and the database may be accessed interactively according to different access preferences of different categories of authorized users and according to a user's level of access and defined functionality.

Abstract: A system and method for measuring vehicle speeds using video sensing. The system comprises a tracking camera that generates accurately time-stamped video sequences of the monitored road at high frame rates and a processing unit that analyzes the video sequences in real time to detect moving vehicles and calculate their speeds using the time-over-distance method. The system automatically detects moving vehicles in each image frame and derives vehicle positions from a projective mapping established from reference markers on the road. Time information is obtained from the date and time stamp associated with each image frame. In one example, the system also allows a user of the system to set a trigger speed, and the system automatically saves a video clip of the vehicle whose speed exceeds the trigger speed, recording the speeding vehicle passing through the monitored traffic zone defined by the reference markers.

Abstract: A system and method for measuring vehicle speeds using video sensing. The system comprises a tracking camera that generates accurately time-stamped video sequences of the monitored road at high frame rates and a processing unit that analyzes the video sequences in real time to detect moving vehicles and calculate their speeds using the time-over-distance method. The system automatically detects moving vehicles in each image frame and derives vehicle positions from a projective mapping established from reference markers on the road. Time information is obtained from the date and time stamp associated with each image frame. In one example, the system also allows a user of the system to set a trigger speed, and the system automatically saves a video clip of the vehicle whose speed exceeds the trigger speed, recording the speeding vehicle passing through the monitored traffic zone defined by the reference markers.

Abstract: A system and method for measuring vehicle speeds using video sensing. The system comprises a tracking camera that generates accurately time-stamped video sequences of the monitored road at high frame rates and a processing unit that analyzes the video sequences in real time to detect moving vehicles and calculate their speeds using the time-over-distance method. The system automatically detects moving vehicles in each image frame and derives vehicle positions from a projective mapping established from reference markers on the road. Time information is obtained from the date and time stamp associated with each image frame. In one example, the system also allows a user of the system to set a trigger speed, and the system automatically saves a video clip of the vehicle whose speed exceeds the trigger speed, recording the speeding vehicle passing through the monitored traffic zone defined by the reference markers.

Abstract: A system and method for overlaying data, in the form of a databar, onto image frames that collectively show a video of a traffic violation event. In the system and method, a digital video of the violation event is first captured, where the video is comprised of a plurality of image frames of the violation event. Pertinent data corresponding to the violation event is determined and then this data is overlaid onto each image frame as a databar. In this manner, a single integrated file showing an image frame, having the databar overlaid thereon, may be stored in a database for evidentiary purposes to be reviewed by traffic enforcement personnel.

Abstract: A system and method for determining the state of a traffic signal light, such as being red, yellow, or green, by employing a plurality of traffic enforcement cameras to be used in determining if a traffic violation has occurred. The system and method automatically predicts, tacks and captures violation events, such as violating a red traffic signal light, to use the video for any number of reasons, particularly for traffic enforcement purposes. There may be provided a tracking camera, a signal camera and an enforcement camera used to capture the video and other pertinent information relating to the event. The signal camera may be operatively connected to a processing unit that runs a video signal sensing (VSS) software unit to determine the active state of the system. Advantageously, this allows the monitoring of intersection for signal light violations without the need for a connection to the light itself.