
Aerial Blind-Spot Coverage
Drones provide overhead views of intersections, ramps, and congested sections that are difficult to observe from fixed cameras alone.

A low-altitude mobile sensing solution for road patrols, incident discovery, evidence capture, video-linked command, and rapid traffic response.
Drones provide first-arrival aerial visibility, queue and lane-occupation assessment, on-site guidance, and evidence capture, helping traffic teams respond faster and reduce secondary risks.


Drones provide overhead views of intersections, ramps, and congested sections that are difficult to observe from fixed cameras alone.

Nearby drones can be dispatched rapidly to collect live images, assess impact, and support command decisions before ground teams arrive.

Algorithms identify congestion, accidents, illegal parking, lane occupation, and other events, improving discovery and triage efficiency.

Aerial evidence, command dispatch, field handling, and result review are connected to improve the whole incident workflow.


Drone-Based Traffic Patrol
DRONE-BASED TRAFFIC POLICE INSPECTION
The solution supports scheduled patrols for expressways, elevated roads, urban arteries, service areas, scenic-area surroundings, and other key road sections by preset route, time window, and operating area. Drones can autonomously take off, cruise, transmit video, return, and recharge, and can also be carried by motorcycle or patrol-car teams for mobile deployment. With dock networks along key urban areas and highways, drones automatically collect mission data and stream high-definition video and recognition results in real time. This expands traffic-management visibility into areas with limited fixed-camera coverage, such as main roads, elevated expressways, urban-rural interfaces, service areas, and interchange hubs.
Rapid Accident and Incident Response
RAPID HANDLING OF ACCIDENTS AND INCIDENTS
When an incident is detected by dock-based drones or received from third-party platforms, drones can be dispatched automatically or manually to the scene. They quickly return panoramic accident views, congestion length, lane occupation, stranded-person status, and surrounding traffic conditions. On site, voice broadcast, flashing lights, illumination, and cloud-call functions can remind involved parties to evacuate and guide vehicles to avoid the area, buying time for ground police response. Minor collisions, property-damage accidents, illegal parking, lane occupation, and road blockages can be assessed first from the air, helping command centers allocate ground resources and coordinate signal optimization more efficiently.


AI Recognition and Video Linkage
AI RECOGNITION AND VIDEO LINKAGE
The platform connects real-time drone video streams with traffic-safety AI algorithms to identify suspected accidents, pedestrians on roadways, congestion, construction, vehicle fires, scattered objects, illegal parking, lane-line violations, and emergency-lane occupation. Video can be pushed to public-security command systems through standard protocols such as GB/T 28181, enabling multi-drone monitoring and business linkage. Based on multi-angle traffic samples and professional vision algorithms, the system automatically generates evidence packages containing violation process, vehicle information, time, and location, supporting event archiving, manual review, and closed-loop enforcement workflows.