12 results about "Closed-circuit television camera" patented technology

The present invention relates to a modular surround-type closed-circuit television camera, and more particularly, to a modular surround-type closed-circuit television camera using an automatic lifting mechanism, comprising: a driving unit provided on a horizontal rod of a pillar so that a shooting unit can be lifted; the foreign matters on the first camera and the second camera of the shooting unit adjusted by an administrator can be removed and maintained; and an imaging unit comprising a plurality of first cameras which are provided in a fixed manner and which image the surroundings, and a second camera which is provided so as to be rotatable by an administrator, the imaging unit being provided on the driving unit so as to be liftable, and the closed-circuit television camera being capable of imaging the surroundings by applying automatic lifting to the closed-circuit television camera. The present invention makes it easy to remove pollution caused by dust and the like, and makes it possible to actively monitor a monitored area without blind spots.

An anonymization system for at least one raw image (IMb) of a scene including at least one individual, the anonymization system comprising: at least one CCTV camera configured to acquire a raw image (IMb) representative of the scene; at least one detection device configured to determine a point cloud (NP) representative of the scene;a computer configured to: identify at least one sub-image (IMs) representative of an individual (9) in the raw image (IMb), the sub-image (IMs) having a primary position (P1) in the scene (S), identify at least one sub-point cloud (NPs) representative of an individual (9) in the point cloud (NP), the sub-point cloud (NPs) having a secondary position (P2) in the scene, and anonymize the sub-image (IMs) of the raw image (IMb) so as to obtain an anonymized image (IMa) if a gap (EP), determined between the primary position (P1) and the secondary position (P2), is less than a predetermined threshold (S1). Abstract figure: Figure 7;

The present invention relates to a truck height measurement system and method capable of measuring the height of a moving truck using a CCTV camera installed on a road, by combining Python, a computer vision library OpenCV, and a library for 3D object tracking when utilizing 3D object detection and tracking technology. The present invention comprises the steps of: photographing a moving vehicle through a camera device (100) (S100); extracting truck-related object information from the captured data by a truck height measurement device (200) (S110); extracting truck object information from the truck-related object information by the truck height measurement device (200) (S120); extracting a truck image from the truck object information by the truck height measurement device (200) (S130); and performing preprocessing to reduce saturation in the extracted truck image by the truck height measurement device (200) (S140). The present invention provides a truck height measurement method characterized by including the step (S150) of the truck height measuring device (200) measuring the truck height in the preprocessed truck image.

The present invention relates to a system that analyzes real-time video captured and transmitted by multiple CCTVs installed on or in special vehicles used at the site using artificial intelligence to determine the occurrence of special situations and enables accident prevention or accident response accordingly. The system is characterized by comprising: a fixed shooting unit comprising a plurality of CCTVs fixedly installed at the site to capture video and a communication module for transmitting the captured video; a mobile shooting unit comprising one or more CCTVs fixedly installed on a special vehicle used at the site to capture video and a communication module for transmitting the captured video; a sensor unit comprising a plurality of sensors fixedly installed at the site to collect surrounding environmental information and a communication module for transmitting the collected environmental information; and a management server that performs AI-based analysis on the received video and environmental information to determine the occurrence of learned or input situations and generates response signals according to the situation to enable accident prevention or accident response.

The present invention generally relates to a technology for measuring a user's location and guiding a movement path within a building. In particular, the present invention relates to an AI video analysis-based indoor positioning and navigation technology that provides indoor navigation services by analyzing CCTV footage generated by multiple CCTV cameras distributed indoors for video surveillance in real time using artificial intelligence (AI), performing object detection, object tracking, and real-time object Re-ID for a service requester, and aligning this with indoor map data for the corresponding space. According to the present invention, since indoor positioning and navigation services are provided by utilizing multiple CCTV cameras installed for video surveillance, there is an advantage of low system construction costs and maintenance burdens. In particular, according to the present invention, since route guidance and verification of route movement are performed based on waypoints of the movement path, there is an advantage of being able to overcome CCTV blind spots in indoor navigation.

The invention relates to a method for detecting an impairment of the transparency of a window pane of a rail vehicle, comprising the following steps: a) recording video images of the window pane using a video camera, in particular a CCTV video camera, arranged in an interior space, during movement of the rail vehicle in order to generate an image sequence from the recorded video images, b) calculating an optical flow for the video images of the image sequence, c) detecting an impairment of the transparency of the window pane based on the calculated optical flow. The invention relates to a system for detecting an impairment of the transparency of a window pane of a rail vehicle, a rail vehicle, a computer program, and a machine-readable storage medium.

Provided is an artificial intelligence image analysis system and method using a preprocessing model of CCTV camera image data, which not only enhances the performance of the artificial intelligence network model but also improves reliability in response to changes in external environments. The system includes: a CCTV image collection unit configured to collect images captured through a plurality of CCTV cameras installed in designated zones across a plurality of regions; and an image analysis server configured to update an AI CCTV image analysis model to analyze the images by using an AI preprocessing model that is configured to receive raw images collected by the CCTV image collection unit, learn backgrounds and objects in the images based on a reference image of the captured images of the designated zones, and check status information of the CCTV camera.

The present embodiment relates to a video processing method and apparatus in a compression area that can improve the quality of video summaries while reducing storage space usage by analyzing a video stream transmitted from a CCTV camera in a compression area to detect the movement of an object and generating thumbnail images for video summaries based on this, thereby storing meaningful pictures at intervals suitable for human perception.

Disclosed is a monitoring device. More specifically, the present invention relates to a monitoring device including a microphone array for detecting, in consideration of surrounding situations, sources of noise exceeding a threshold that may occur on outdoor roads, factories, and the like, and a noise control system using same. According to an embodiment of the present invention, a conventional CCTV camera, which is installed on a road to monitor vehicles in motion, is provided with a weather observation means and an outdoor noise measurement means, and there is an effect of detecting, by means of same, a sound source that generates noise greater than or equal to a threshold by determining surrounding conditions such as weather.

The invention relates to a method for detecting an impairment of the transparency of a window pane of a rail vehicle, comprising the following steps: a) Recording video images of the window pane using a video camera located in an interior space, in particular a CCTV video camera, during a movement of the rail vehicle in order to generate an image sequence from the recorded video images, b) Calculating an optical flow for the video frames of the image sequence, c) Detecting impairment of window pane transparency based on the calculated optical flux. The invention relates to a system for detecting an impairment of the transparency of a window pane of a rail vehicle, a rail vehicle, a computer program and a machine-readable storage medium.

The present invention relates to a system and method for automatically analyzing train operation information records. The system comprises: a plurality of operation record collection modules; a network; an operation record analysis server; and a plurality of train operator terminals, wherein the operation record analysis server analyzes remaining time information for a task based on image patterns captured by a CCTV camera included in an operation record collection module that provides image information of a railway track, and final arrival time information to a location where the task is being performed, on the basis of railway operation data provided from a railway operation recording device included in the operation record collection module, provides the analyzed information via the network to a train operator terminal operating a train approaching the task location, and, when the final arrival time information is shorter than the remaining time information by at least a preset threshold, controls a transceiver to transmit a speed control request to a terminal identification number of the train operator terminal via the network.