Abstract:
Embodiments generally relate to a computer-implemented method for vehicle occupant surveillance. The method comprises capturing a first image of a target vehicle using a camera configured with a first imaging configuration, configuring the camera with a second imaging configuration, capturing a second image of the target vehicle using the camera configured with the second imaging configuration, making the first and second image available to at least one processor, processing the first image by the at least one processor to determine a licence plate number of the target vehicle, and processing the second image by the at least one processor to determine a non-compliance event. The first imaging configuration allows the camera to legibly capture the licence plate of the target vehicle and the second imaging configuration allows the camera to capture an interior of the target vehicle with sufficient detail to determine the non-compliance event.
Abstract:
A mobile real-time 360-degree traffic data and video recording and tracking system and method based on Artificial Intelligence (AI) is disclosed. More particularly, a system of video cameras and other data sensors are mounted on a vehicle that capture information on all sides (360-degrees) from the vehicle. The captured information is input to a computer programmed using Artificial Intelligence to analyze the information for possible traffic infractions and report that information to authorities.
Abstract:
A traffic monitoring system includes a traffic sensor having an imaging unit that generates a recognition record by image recognition processing a captured image of a vehicle. The recognition record includes primary data and additional data. The traffic sensor also includes a transceiver that transmits the primary data and the additional data to a server system. The additional data is transmitted in response to a request from the server system received by the traffic sensor after the primary data is transmitted. The server system transmits the request to the traffic sensor based on the primary data received from the traffic sensor.
Abstract:
Determining that a vehicle is speeding in violation of a speeding regulation. Capture a timed sequence of image frames of the target vehicle at known capture times of the vehicle, identify corresponding images of a license plate of the target vehicle in the image frames, recognize an alphanumeric character of the license plate in the corresponding images of the license plate, measure respective image dimensions of the alphanumeric character; and responsive to a change between the image dimensions of the alphanumeric character, compute a speed of the target vehicle relative to the camera. Font style and font size are stored of one or more standard vehicle license plate.
Abstract:
A vision traffic markernetwork system comprises a plurality of vision traffic markersor traffic nodes configured to capture information such as an event, an environment, a profile, or a condition of an object such as vehicle, human, combination thereof, or the like, for example. The environment information may be time of day, day of week, weather, traffic condition, and the like. The nodes may be one of a traffic node, an ambient node, a repeater, a gateway, or a combination thereof. These nodes are arranged in network neighborhoods and configured to communicate withat least oneof the communication networks with at least one of the vision traffic markersor nodes, a control system, the automotive, a server, a global navigation system, other non-vision devices, traffic lights, street lights, electronic devices, or combination thereof, via one more links, either wirelessly or wired communication. The vision traffic marker network system analysis, process, distribute, and report the information to any vision traffic marker network system,client machines, and a server over a network.
Abstract:
Provided is a visual vehicle speed estimation system based on camera output and calibration for such a vehicle speed estimation system. The calibration allows use of the system where the absolute camera position is unknown. Calibration determines an absolute-position-independent relationship between an image space placement and a physical space position relative to the camera. The calibration is done on the basis of camera output using vehicle features of known dimensions and some assumed physical constraints related thereto to provide a conversion relationship between image coordinates and physical space coordinates in a physical space defined in relation to the camera. This relationship is then used to estimate vehicle speeds based only on the visual information provided by the camera. Abstract is not to be interpreted as limiting.
Abstract:
본 발명의 실시예는 지능형 교통 시스템에서 차량의 검지에 사용되는 레이저 검지 장치로서, 짧은 펄스의 레이저 빔을 발생하는 광원부, 상기 레이저 빔을 라인 형태의 라인(line) 빔으로 변환하는 송신부 광학계; 및 상기 라인 빔이 차량에 조사되어 후방산란 및 반사되어 돌아오는 반사 빔을 수신하여 상기 레이저 빔과 반사 빔과의 수신 시간차를 이용하여 거리값을 산출하는 수신부 광학계;를 포함하고, 상기 송신부 광학계는 상기 광원부에서 진행하는 레이저 광이 입사되는 제1 렌즈와 제2 렌즈가 순차적으로 배열되고, 상기 광원부와 상기 제1 렌즈 사이의 거리를 조절하여 상기 라인 빔의 수평축 길이를 확장 또는 축소하여 측정하고자 하는 도로의 폭과 일치시킬 수 있다. 따라서, 도로의 규모에 상관없이 레이저 검지 장치에서 조사되는 레이저 광을 지나가는 차량들의 통행 여부를 정확하게 파악하여 현재 교통 상황을 실시간으로 파악할 수 있다.
Abstract:
The invention which is mobile number plate recognition and speed detection apparatus (1) placed on the vehicles, i.e., police vehicle, with the aim of security, characterized in comprising camera (1.3) which is placed at two sides of the base -front right and front left- and enables the apparatus to capture image; LED lightings (1.4) which are disposed around the cameras (1.3) and face the direction of vision and provide capturing recognizable image at nights; police lights (1.5) which are placed to the front and rear surfaces of said base (1.2) and flash when necessary; alarm control device (1.8) adjusting the alarm; Ethernet connection (1.9) constituting the network; cooling device (1.10) eliminating the heat inside the apparatus; control card (1.11) controlling the police lights; 3G modem (1.12) providing wireless connection constantly; and upper cover (1.1) covering the entire apparatus by surrounding it.