43 results about "Traffic enforcement" patented technology

Integrated intelligent system adapted for any operating system and / or multi-OS computing environment seamlessly having sensory input / data acquisition cum recording server group and / or analytics server group enabling fail-safe integration and / or optimized utilization of various sensory inputs for various utility applications. Also disclosed as added advancements include intelligent method / system for cost-effective and efficient band adaptive transferring / recording sensory data from single or multiple data sources to network accessible storage devices, fail safe and self sufficient server group based method for sensory input recording and live streaming in a multi-server environment, intelligent and unified method of colour coherent object analysis, face detection in video images and the like, resource allocation for analytical processing involving multi channel environment, multi channel join-split mechanism adapted for low and / or variable bandwidth network link, enhanced multi-colour and / or mono-colour object tracking and also an intelligent automated traffic enforcement system.

What is disclosed is a system and method for processing an image to obscure information which can be used for identification purposes. In one embodiment, an image is received as part of a traffic enforcement activity. A motor vehicle in the image has a visibly discernible license plate. The vehicle's license plate is first isolated in the image. Content in the image which can be used for identification purposes is thereafter identified. The identified content is compared to the license plate. Any content in the image which is different than the license plate is obscured by, for instance, pixelating the content in the image, introducing a distortion into the image at a location of the content, replacing content with other content, or by blurring the content of the image. The modified image containing the obscured content is then provided to an image output device for rendering. Various embodiments are disclosed.

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.

An invention is provided for mobile radar assisted traffic enforcement. In one embodiment, a traffic control vehicle is disclosed that includes a driving station capable of providing directional and speed control for the traffic control vehicle. The traffic control vehicle also includes a positioning system device, such as a GPS device, a radar system, and a camera system. Further included within the traffic control vehicle is at least one traffic monitoring station having a monitoring client, such as a laptop computer, in communication with the positioning system device, the radar system, and the camera system. The monitoring client displays a visual image of the target vehicle, the current speed of the target vehicle, and the current location of the traffic control vehicle. In addition, the monitoring client is in communication with a storage device capable of storing a record of the image of the target vehicle, the current speed of the target vehicle, and the current location of the traffic control vehicle. In this manner, the record can be utilized to issue traffic citations.

An manned, mobile traffic enforcement platform with aimable violation and documentation devices employing digital video and still images, incorporating contextual information as well as data input by the system operator and driver. The mobile enforcement platform (MEP) is operated by a trained and authorized system operator (typically a police officer trained and experienced in traffic enforcement) who applies pre-determined criteria, protocols, procedures and routines that are approved and authorized by the user-jurisdiction for use with the MEP system. MEP's aimable devices support detection, identification, and documentation of violations occurring in any of several lanes behind or in front of the moving MEP vehicle. MEP also can be used from the roadside. The violation information and documentation can be transmitted to a fixed facility for citation processing or it can be transferred in batches over landlines or by direct link for later citation processing. MEP is designed to capture all types of moving violations, including aggressive driving and reckless driving, in readily retrievable documentation that will support citation preparation and can even be provided with the citation to substantiate the content as required by the respective jurisdiction. The MEP operator or driver also can identify gross violations to police dispatchers for attempted interception of the violator by other police units. MEP also generates traffic-related information of interest to planners and police enforcement and can perform homeland security monitoring tasks as well as other surveillance activities. MEP is a traffic enforcement tool that is designed to greatly expand police productivity, reduce police officer paperwork and court time, increase enforcement credibility (eventually reducing court caseloads), reduce crash costs and fatalities, and dramatically improve highway safety.

A traffic light signal monitoring system and method that enables traffic enforcement personnel to monitor the traffic moving through an intersection while positioned at a distant or remote location from the intersection where they would otherwise not be able to see the color of the traffic light signal. The system includes a distribution switch mounted in an existing traffic signal controller cabinet and electrically connected to the traffic light control circuits. The distribution switch is coupled to a radio transmitter. Connected to the transmitter is a tone generator that generates a tone when the amber light signal is activated. During use, traffic enforcement personnel positioned near the intersection are able to watch traffic travel through the intersection without looking directly at the lights activated on the traffic light. When the amber light circuit is activated, the tone is broadcast for approximately four seconds that informs the traffic enforcement personnel that the red light will be activated shortly and that their attention should be drawn to the flow of traffic through the intersection.

The invention discloses an intelligent traffic signal control system based on a high-definition video technology, which comprises external station equipment, a communication network and central system equipment, wherein the external station equipment uses each intersection as a unit, and all directions of each intersection are respectively provided with high-definition cameras; the cameras are connected with a high-definition video detecting host machine and installed in a signal case; a signal lamp is connected into a traffic signal control machine; network equipment in an intersection signal machine is intercommunicated and interconnected with the central system; the communication network comprises three parts, namely the network connection from the intersection signal machine to a signal control communication unit, a communication unit and the internal network connection of the central system equipment; and the central system equipment is divided into traffic signal control system equipment, traffic violation processing system equipment, traffic video monitoring system equipment and an operating terminal according to the function. By utilizing the high-definition video technology, the intelligent traffic signal control system can realize the detection of dynamic traffic flow data, traffic data acquisition and traffic enforcement function.

An enhanced broadcast data service with reports locations of traffic enforcement camera locations (e.g., red light cameras and speed cameras) to users. Traffic enforcement camera information is aggregated, verified (e.g., particularly as to traffic enforcement camera type) and stored (e.g., at a server). A broadcast signal comprising program channels and at least one data channel having traffic enforcement camera information is transmitted to a plurality of receivers. Receivers store at least a subset of the traffic enforcement camera information available from the server and synchronize to it using periodic transmitted updates. Receivers compare receiver location data with stored camera location data, and display or generate audible alerts when the receiver is within a selected geographic range of a traffic enforcement camera. Alerts can be filtered as to camera type. A alerts can employ different color camera icons superimposed on a screen map depending on camera type or whether the camera is newly added.

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.

A system and method providing a police officer the ability to capture and review traffic violations observed using one or more strategically located cameras. The system incorporates a database of state and local motor vehicle laws and when the officer determines a violation has occurred the system automatically fills in the relevant statute or code for the violation, the correct legal language describing the violation, and the fine for that violation. Driver's license and vehicle information is also automatically filled in. The officer can override the issuance of a citation and indicate that only a warning or Reminder be issued instead. The citation, warning or Reminder notice is saved in the system for further processing and subsequent mailing. The system now transmits the citation, warning or Reminder notice data to servers at the service provider for mailing, the municipal department which collects the fines, as well as the police department's traffic division, for inclusion in their respective databases. This reduces paperwork, and data entry processing, further saving time and expense. Whether a citation, warning or Reminder notice is issued, the system and method of the invention significantly expand the area of coverage of a police officer in monitoring traffic and detecting violations, and allows the officer to issue more citations, warnings or Reminders within a given time period than is now possible. This makes the officer more efficient and potentially increases revenue because of the issuance of more citations. More importantly, it makes drivers more conscious of their actions and promotes vehicular safety.

Systems and methods for detecting traffic scenarios include an image capturing device which captures two or more images of an area of a traffic environment with each image having a different view of vehicles and a road in the traffic environment. A hierarchical feature extractor concurrently extracts features at multiple neural network layers from each of the images, with the features including geometric features and semantic features, and for estimating correspondences between semantic features for each of the images and refining the estimated correspondences with correspondences between the geometric features of each of the images to generate refined correspondence estimates. A traffic localization module uses the refined correspondence estimates to determine locations of vehicles in the environment in three dimensions to automatically determine a traffic scenario according to the locations of vehicles. A notification device generates a notification of the traffic scenario.

The invention provides an authentication method and device for illegal parking cases, and computer equipment. The method includes obtaining images of an illegal parking case; detecting illegal parkingkey elements in the images; performing identification on the information in the illegal parking key elements obtained through detection; and determining the illegal type of the illegal parking case and the processing compliance of the illegal parking case according to the illegal parking key elements obtained through detection, position relations between the illegal parking key elements and the information in the illegal parking key elements obtained through identification. Thus, intelligent authentication on the compliance of the illegal parking cases can be realized, so that costs of manualchecking can be reduced, and the normalization of law enforcement officers in traffic enforcement can be supervised.

Integrated intelligent system adapted for any operating system and / or multi-OS computing environment seamlessly having sensory input / data acquisition cum recording server group and / or analytics server group enabling fail-safe integration and / or optimized utilization of various sensory inputs for various utility applications. Also disclosed as added advancements include intelligent method / system for cost-effective and efficient band adaptive transferring / recording sensory data from single or multiple data sources to network accessible storage devices, fail safe and self sufficient server group based method for sensory input recording and live streaming in a multi-server environment, intelligent and unified method of color coherent object analysis, face detection in video images and the like, resource allocation for analytical processing involving multi channel environment, multi channel join-split mechanism adapted for low and / or variable bandwidth network link, enhanced multi-color and / or mono-color object tracking and also an intelligent automated traffic enforcement system.

The invention discloses an intelligent traffic signal control system based on a high-definition video technology. The system comprises three parts, namely out-station equipment, a communication network and central system equipment, wherein the out-station equipment takes a single intersection as a unit, each direction of each intersection is provided with a high-definition camera; each camera is connected with a high-definition video detection host to be arranged in a signal case; a signal lamp is accessed in a traffic signal controller and is communicated with a central system through a network device in an intersection signal machine; the communication network contains three parts, namely network connection between each intersection signal machine to a signal control communication unit, a communication unit and internal network connection of the central system equipment; and according to function, the central system equipment is divided into the following four types: traffic signal control system equipment, traffic violation processing system equipment, traffic video monitoring system equipment and an operating terminal. As the high-definition video technology is utilized in the invention, the detection of dynamic traffic flow data can be realized, and the functions of traffic data acquisition and traffic enforcement can be realized.

An enhanced broadcast data service with reports locations of traffic enforcement camera locations e.g., red light cameras and speed cameras) to users. Traffic enforcement camera information is aggregated, verified (e.g., particularly as to traffic enforcement camera type) and stored (e.g., at a server). A broadcast signal comprising program channels and at least one data channel having traffic enforcement camera information is transmitted to a plurality of receivers. Receivers store at least a subset of the traffic enforcement camera information available from the server and synchronize to it using periodic transmitted updates. Receivers compare receiver location data with stored camera location data, and display or generate audible alerts when the receiver is within a Selected geographic range of a traffic enforcement camera. Alerts can be filtered as to camera type. A alerts can employ different color camera icons superimposed on a screen map depending on camera type or whether the camera is newly added.

A vehicular enforcing system comprising a display unit mounted on a vehicle for displaying information regarding to allowed / forbidden operation of said vehicle, said display unit being viewable from outside of said vehicle); at least one sensor, for sensing data related to said information; and a controller configured to obtain said data from said at least one sensor, and display said information on said display unit.

The invention provides an evidence obtaining method and an apparatus for realizing rescue vehicle traffic enforcement via alarm whistle linkage. The method includes: when a rescue car encounters a traffic jam or the traffic light is red, a warning button of the rescue car is pressed; the rescue car emits a warning signal, and a vehicle image obtaining unit starts to obtain images of a vehicle in front of the rescue car; a timing module of a vehicle intelligent host starts timing, and a storage module of the vehicle host saves the obtained image in front of the rescue car; when the timing module reaches a predetermined timing duration, an image processing module of the vehicle intelligent host processes the images according to a following standard, and saves the images; if the rescue car is still in a traffic jam or the traffic light is still red, the first step is returned, otherwise, the next step is performed; and the enforcement is ended. According to the method and the apparatus, in order to guarantee the priority of road right of the rescue car, capturing and evidence obtaining of traffic illegal behaviors blocking the rescue car are adopted, reasonable avoiding behaviors are recorded, strict enforcement is achieved, and humanized enforcement can be realized.

What is disclosed is a system and method for processing an image to obscure information which can be used for identification purposes. In one embodiment, an image is received as part of a traffic enforcement activity. A motor vehicle in the image has a visibly discernible license plate. The vehicle's license plate is first isolated in the image. Content in the image which can be used for identification purposes is thereafter identified. The identified content is compared to the license plate. Any content in the image which is different than the license plate is obscured by, for instance, pixelating the content in the image, introducing a distortion into the image at a location of the content, replacing content with other content, or by blurring the content of the image. The modified image containing the obscured content is then provided to an image output device for rendering. Various embodiments are disclosed.

A system and method for traffic enforcement in containerized environments. The method includes analyzing contents of a container image to determine a type of application to be executed by a first container, wherein the first container is a runtime instance of the container image; determining, based on the type of application to be executed by the first container, a filtering profile for the first container, wherein the filtering profile defines a configuration for inspecting and filtering traffic directed to the first container; and filtering, based on the filtering profile, malicious traffic directed to the first container.

The invention discloses a traffic violation processing method based on cloud computing, which belongs to the field of traffic. The method includes the following steps: S1 a traffic violation processing platform is built based on cloud computing and cloud storage technology and provides load balancing service and video processing service for the platform; S2 a video file for storing traffic violation videos is built; S3 a traffic law enforcing organization uploads the traffic violation videos to the traffic violation processing platform and inputs traffic violation information to a non-field law enforcement information registration table; S4 the video processing service acquires an nginx file access path to conduct pre-processing on the traffic violation videos; and S5 a secondary examining and verifying organization conducts examination and verification on the traffic violation videos and rejects video information and traffic violation information which are false in law breaking facts. By means of the method, a large quantity of fast concurrent access can be supported, and processing speed of videos is greatly improved. The traffic violation videos are converted into a uniform format, and compatibility of playing of various formats of the videos is achieved.

The invention discloses a cross automatic capture and analysis method for a yellow light running traffic violation vehicle. The method includes the steps: seeking a parking visual range L when the vehicle enters the range of the cross according to a road designed speed, setting a yellow light parking line which is at the L position and within a red light parking line at the cross, and installing an automatic capturing system and a driving-speed detection system at the position of the yellow light parking line. When automatic capturing information at the position of the red light parking line and automatic capturing information at the position of the yellow light parking line are simultaneously transmitted to a central processor, the central processor finally confirms whether a traffic violation action of running the yellow light is true or not according to syncretic calculation of the information, and then punishment is conducted. The cross automatic capture and analysis method not only can reasonably distinguish the action of running the yellow light, but also can accurately and automatically capture the traffic violation action, and brings great convenience for traffic enforcement.

A system and method which detects and uses a point of contact between a vehicle's tire and the pavement as a reference point to improve the accuracy of vehicle speed detection in a motorized vehicle speed detection system. In one embodiment, a plurality of infrared images of a moving vehicle are received. Each of the images is separated in time by known intervals. The images are captured using an infrared camera which can be a single-band or multi-band camera which operates in an infrared wavelength band selected to enhance a contrast between the vehicle's tires and the road surface. For each image, a point of contact is determined where a same tire contacts the road surface. These points and the time interval separations are used to calculate the vehicle's speed. An alert signal is initiated to a traffic enforcement authority if the speed exceeds the road's speed limit.

The invention relates to a system for automatically recognizing traffic violation and illegal behaviors, a method thereof and a dashboard camera. The system comprises a shooting module, a controller and a communication module. The controller comprises a standard image storage module, a recognition module, a data storage module and a main control module connected with a positioning navigation system. The shooting module is connected with the main control module. The standard image storage module is connected with the main control module. The recognition module is connected with the main control module. The data storage module is connected with the main control module. The communication module is connected with the main control module. According to the invention, surrounding environments are shot through the shooting module; the recognition module judges contents of a sampling image or a video; when the recognition module recognizes a traffic accident or a traffic violation behavior, the shot sampling image or the video is used as a reserved evidence of the traffic accident for storage; and the shot traffic accident and the traffic violation behaviors are sent to a traffic legal operation department immediately, so processing efficiency of traffic accidents is improved and traffic accidents are effectively avoided.

Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction / neighborhood location for motion vectors, A system can Include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to he in motion by the motion detection module, and a block-based, motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.

The invention provides a method of a vehicle-mounted line pressing violation identification based on the mobile machine vision technology. The method comprises a road marking identification method based on Hough transformation and the perspective principle and a vehicle positioning method based on vehicle bottom shadow detection. The environmental textures can be eliminated by the detection method with combination of Hough transformation and the perspective principle so as to accurately identify the road marking. Besides, the vehicle can be positioned under various light environments by the positioning method with combination of vehicle bottom shadow detection. The method has the characteristics of low cost, high operation efficiency, high identification accuracy and convenient installation so as to enhance the effectiveness of urban road traffic enforcement.

The invention provides a Cmos sensor exposure and signal lamp synchronization method and device, and relates to the traffic video monitoring technical field; the Cmos sensor exposure and signal lamp synchronization method comprises the following steps: dynamically adjusting a line number Vmax of each frame of the cmos sensor so as to synchronize a cmos sensor exposure end time with a signal lamp falling edge interrupt incoming time; obtaining a time difference between a signal falling edge of each frame of the cmos and a signal lamp pulse falling edge in real time, continuously adjusting the Vmax according to the obtained time difference, and realizing a relative stable state. The method can ensure the exposure and signal lamp synchronization when the cmos sensor selects a main mode, and the cmos sensor does not need to be modified as a passive mode, thus improving the traffic camera shooting quality, and providing more persuasive image evidences for traffic enforcement.

The invention provides a radio frequency identification reader-writer and antenna vehicle-mounted device. A radio frequency identification reader-writer and an antenna for transportation can be mounted on a police law enforcement vehicle and can be stored or stretched out; meanwhile, the stretching heights, the horizontal directions, the vertical directions and the pitch angles of the radio frequency identification reader-writer and the antenna can be adjusted according to requirements, so that the vehicle becomes a movable electronic number plate system read-write base station. The actual use feasibility and convenience of the vehicle-mounted device, the reader-writer and the antenna and the aerodynamic characteristics required for the vehicle-mounted device, the reader-writer and the antenna in the traveling process of an automobile are fully considered. The vehicle is a modern traffic enforcement vehicle which is small in occupied space and high in resource utilization rate. The radio frequency identification reader-writer and antenna vehicle-mounted device is mainly composed of a radio frequency identification reader-writer and reader-writer antenna integrated machine, a telescopic supporting folding arm, a universal rotating device, a controller, a vehicle-mounted computer terminal and a peripheral.

A traffic enforcement system and corresponding method are provided. The traffic enforcement system includes a camera configured to capture an input image of one or more subjects in a motor vehicle. The traffic enforcement system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task on one or more subjects in a motor vehicle depicted in the input image. The traffic enforcement system also includes a processor configured to apply the deep learning model to the input image to recognize an identity the one or more subjects in the motor vehicle and a liveness of the one or more subjects. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

A traffic enforcement system and corresponding method are provided. The traffic enforcement system includes a camera configured to capture an input image of one or more subjects in a motor vehicle. The traffic enforcement system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task on one or more subjects in a motor vehicle depicted in the input image. The traffic enforcement system also includes a processor configured to apply the deep learning model to the input image to recognize an identity the one or more subjects in the motor vehicle and a liveness of the one or more subjects. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

The invention discloses an unmanned aerial vehicle inspection system with a voice recording function and relates to the field of voice recording of unmanned aerial vehicles. The unmanned aerial vehicle inspection system comprises a voice frequency detection unit, a noise elimination unit, a feature extracting unit, a decoding conversion unit, an information recording module, a data transmission module, an image transmission module and a ground flight control system; the unmanned aerial vehicle inspection system can be applied to fields including unmanned aerial vehicle firefighting rescuing, power inspection, traffic enforcement and the like; a target object is subjected to photographing and efficient image acquisition according to requirements and a set of voice tag solution is provided according to an application scene needing to record aerial photography information in the field; voice recognition, unmanned aerial vehicle real-time data, air route path planning and recording functions are combined to develop a brand-new inspection recording manner, so that the comprehensive application efficiency of an inspection unmanned aerial vehicle is easy to improve.