Intelligent integrated management of drones dedicated to traffic police (cloud police system)

New AirSafety Cloud Police System - Intelligent Integrated Management Solution for Traffic Police Dedicated Drones 1. Four major categories of AI algorithms cover all business scenarios. Deeply adapting to the full range of traffic management and law enforcement needs, we have developed a dedicated algorithm matrix for four major categories: "traffic violations, traffic accidents, traffic hazards, and traffic congestion". This covers over 20 specific scenarios, including non-motorized vehicle/pedestrian intrusion, illegal parking, violations of prohibited markings, failure to yield to pedestrians, failure to wear a helmet at intersections, accident detection, scattered objects/pavement defects and hazards, and congestion. All algorithms have been trained and optimized using vast amounts of real-world scenario data, deeply aligning with traffic management business standards and practical requirements. 2. Integrate the entire algorithm process and embed it seamlessly into business processes. Breaking the application limitation of "algorithms only performing single recognition", deeply embedding algorithm capabilities into the entire business process of "drone patrol - event recognition - automatic forensics - alert push - linkage disposal - data archiving", achieving full-chain automated control of "algorithm triggering action, action matching process, process adaptation specification", and completing the entire process of law enforcement disposal actions without manual intervention, truly realizing the deep integration of algorithm capabilities and business processes. 3. Intelligent review with multi-modal large models and full-element compliance verification. By introducing the capabilities of multimodal large models, secondary intelligent verification is conducted on the illegal activities, accidents, hidden dangers, congestion events, and evidence materials identified by AI algorithms. This process precisely verifies the authenticity of events, the completeness of evidence elements, and the matching degree of illegal facts. It automatically filters out misjudged information and invalid police situations, significantly reducing the rate of misjudgments in law enforcement.