43results about How to "Improve prevention and control efficiency" patented technology

The invention discloses a prison abnormal behavior recognition method and system based on edge intelligent analysis, and belongs to the technical field of intelligent security protection, and the method comprises the steps: deploying edge nodes at each monitoring point of a prison, collecting a synchronous monitoring image flow, recognizing a low-light environment image frame through illumination evaluation, and storing the low-light environment image frame in a database; enhancing the image by using an improved Retinex algorithm optimized by a prison scene noise sample library; inputting the clear enhanced image into a lightweight CNN model, performing multi-dimensional matching with a prison abnormal behavior category knowledge base of a three-layer structure through an embedded behavior classification engine, and outputting a classification result of calibrated confidence; when the confidence exceeds a threshold value, triggering graded early warning, and associating the monitoring platform with peripheral sensor synchronous data to form a multi-mode alarm evidence chain; the edge node regularly encrypts and summarizes the early warning data packet and the negative sample data, and feeds back to the training end to realize model incremental learning; according to the method, the low-light environment adaptability and the feature discrimination capability are improved, and the recognition accuracy and the real-time performance are guaranteed.

The invention discloses a low-altitude multi-unmanned aerial vehicle cooperative prevention and control scheduling optimization method, and relates to the technical field of unmanned aerial vehicle cooperative scheduling. Collecting and fusing geographic space, target, environment and unmanned aerial vehicle state multi-source data, and generating a prevention and control situation data set; modeling core prevention and control tasks and dividing priorities; establishing an unmanned aerial vehicle resource constraint model and initially allocating resources; constructing a multi-target collaborative scheduling optimization model and solving; scene changes are monitored in real time, scheduling is dynamically adjusted, and conflicts are resolved; and establishing a prevention and control effect evaluation system, and iteratively optimizing a scheduling strategy. The method adapts to low-altitude prevention and control scene requirements, multi-source data fusion improves scheduling decision accuracy, and dynamic scheduling and conflict resolution guarantee stable operation; the resource allocation and strategy iteration are optimized, the prevention and control task completion quality is improved, the resource utilization rate and scene adaptability are improved, and the prevention and control efficiency is improved.