Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

8 results about "Visual surveillance" patented technology

Visual Surveillance Technology. Surveillance cameras and facial recognition are used to monitor public and private spaces and to identify people. The effectiveness of this technology is up for debate, but it is nevertheless becoming both more pervasive and more invasive.

Visual online monitoring system and method for abrasion of key component of impulse turbine

The invention provides a visual online monitoring system and method for abrasion of key components of an impulse turbine. A monitoring device capable of moving around a track is carried on an outer ring annular main track of a waterwheel chamber track device through a moving device; the monitoring device comprises a multi-degree-of-freedom mechanical arm module, and an abrasion monitoring module is carried at the tail end of the multi-degree-of-freedom mechanical arm module. A monitoring device capable of moving around a track is carried on an inner ring annular positioning track of the waterwheel chamber track device through a moving device, and the monitoring device adopts a global visual monitoring instrument; the monitoring device and the monitoring device are connected with the intelligent control system; the system further comprises a data transmission and storage module and an energy supply module. Dynamic monitoring and visual presentation of abrasion of the water bucket and the spray needle can be achieved without shutdown, and the device has the advantages of being high in environmental adaptability, high in monitoring precision and automatic in operation.
Owner:CHINA THREE GORGES UNIV

Product conveying system and method based on machine vision

The invention relates to a product conveying system and method based on machine vision, and relates to the technical field of logistics transportation control, and the product conveying system comprises a visual monitoring module which is used for recognizing and analyzing a product identification code to obtain a product target position, the running state of the product is tracked and traced, and the running state of each section of conveyor in the article transportation module is controlled; the article transportation module is used for conveying the product according to the product target position; the remote control module is used for connecting and controlling the visual monitoring module and the article transportation module according to an equipment access address, a wireless network account and a wireless network password; the single electric roller shafts are uniformly distributed in the transportation structure, so that the transportation efficiency of the material box is favorably improved; the operation states of the material box and the electric roller shaft are dynamically monitored in real time through a visual scheme, and the transportation efficiency is improved.
Owner:YUANYUZHI INFORMATION TECHNOLOGY (KUNSHAN) CO LTD

Autonomous working machine with computer vision-based monitoring and security system

A supplemental monitoring and security function and system for use with an autonomous working machine such as a robotic lawn mower. The system may use cameras associated with the machine to capture image data and transmit the data to a remote computer. The system may be utilized as a theft deterrent for the mower itself, as well as provide a mobile sentry mode for surveilling and observing a property.
Owner:THE TORO COMPANY

A construction site safety compliance low-power ai camera device and method based on edge side risk chain determination

PendingCN122391993AFalse alarmCloud computing
The application discloses a construction site safety compliance low-power-consumption AI camera device and method based on edge side risk chain determination, and relates to the technical field of construction site safety visual monitoring.The device comprises an event trigger wake-up module, a dual-light acquisition module, a construction site scene feature filtering module, a lightweight AI inference module, a human-equipment association module, an edge risk chain determination module, a hierarchical early warning module, a network interruption buffer module and a multi-mode power supply module; the adaptive fusion of visible light and infrared images improves the robustness in a dust raising, night or strong light environment; fixed interference such as scaffolding and building materials is removed by a construction site scene mask; a lightweight deep learning model (INT8 quantization improved YOLO-Tiny) is used to realize synchronous detection of personnel, safety helmets, reflective clothing and safety belts; and accurate area matching of personnel and protective equipment is completed based on human skeleton key points; finally, a three-level risk chain of "protective equipment wearing state-operation area attribute-personnel time sequence moving track" is constructed on the edge side, and local real-time hierarchical early warning is realized.The application does not depend on cloud computing throughout the process, can independently operate in a network interruption state, has low power consumption, low false alarm rate and low deployment cost, is suitable for complex construction site scenes such as building construction, municipal engineering and mine operation, and has significant novelty, creativity and practicality.

An unmanned aerial vehicle dynamic target stable capturing method based on motion pose decoupling

This invention relates to the field of UAV visual surveillance and target tracking technology, specifically disclosing a UAV dynamic target stabilization acquisition method based on motion pose decoupling. This method addresses the image disturbance problem caused by the synchronous motion of the UAV platform and the target. It constructs an accurate optical flow field model caused by the self-motion of the UAV platform by synchronously acquiring airborne images and UAV pose change information; then, it subtracts the self-motion component from the observed optical flow to obtain a compensated residual optical flow field that only represents the true motion of the target; based on this, it extracts the target's motion vector in the image plane and back-projects it to a unified world coordinate system to obtain the target's three-dimensional motion state; finally, it achieves stable tracking through a state estimator. This invention achieves motion decoupling at the algorithmic level, eliminating the need for a mechanical gimbal, and effectively improving the tracking stability and accuracy of UAVs for small moving targets on the ground in highly dynamic flight environments.
Owner:WUHAN UNIV

Integrated power distribution cabinet monitoring and early warning system based on multi-source information fusion

PendingCN122339069AElectric equipmentMetadata
This invention relates to the field of power distribution cabinet monitoring technology and discloses an integrated power distribution cabinet monitoring and early warning system based on multi-source information fusion, including a visual monitoring unit, a centralized monitoring unit, a data acquisition unit, a tolerance degradation unit, and a multi-source fusion unit. This invention classifies electrical equipment into potential hazard equipment and safe equipment by calculating a centralized monitoring index, focusing on collecting tolerance and operational data only for potential hazard equipment, avoiding redundancy caused by indiscriminate data collection and significantly improving data analysis efficiency. Furthermore, by accurately calculating the tolerance degradation coefficient and operational status index using scientific formulas, it can accurately assess equipment failure risk and power distribution cabinet operational stability, making up for the shortcomings of insufficient accuracy in traditional monitoring and early warning systems. The abnormal alarm unit can immediately trigger an audible and visual alarm when the operational status is abnormal and push the abnormal information to the early warning terminal and the mobile terminal of maintenance personnel, ensuring rapid response and handling by maintenance personnel.
Owner:NINGXIA KATE ELECTRIC EQUIP CO LTD

Artificial intelligence-based textile lace production quality monitoring method

The invention relates to the technical field of visual monitoring, and discloses a textile lace production quality monitoring method based on artificial intelligence, a used device comprises a base, an electric telescopic rod I is arranged on the base, the telescopic end of the electric telescopic rod I is fixedly connected with a supporting frame, and an electric sliding rail is arranged on the supporting frame; according to the textile lace production quality monitoring device, the quality monitoring camera can expand the monitoring range of textile lace production quality, the monitoring environment of the device is improved, monitoring data of the quality monitoring camera can be provided for a control computer for data arrangement, the detection efficiency of the device is improved, and the detection efficiency of the device is improved. And the light shading plate rotates to drive the light supplementing lamp to rotate, at the moment, the light supplementing area of the light supplementing lamp can be enlarged, the monitoring precision of the quality monitoring camera on the textile lace can be improved, and the monitoring effect of the device is improved.
Owner:JINJIANG JUNRONG HUAJIE TEXTILE CO LTD