One Minute Emergency Response! Hikvision's Viewlan Large Model Boosts Hangzhou Highway Traffic Police's Efficiency and Quality_News Center Co., Ltd._Beijing Jiahuixinda Technology Co., Ltd. 
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One Minute Emergency Response! Hikvision's Viewlan Large Model Boosts Hangzhou Highway Traffic Police's Efficiency and Quality
Publish Time:2025-06-05        View Count:1        Return to List

On the afternoon of May 25th, the Hangzhou Highway Traffic Police Early Warning Center issued an orange alert: a black SUV with an out-of-province license plate was parked on the shoulder of the G25 Changshen Expressway, Jiangsu direction at the interchange deceleration ramp, with a passenger in the front seat getting out and lingering.


This is a recent illegal parking incident, with fast-moving vehicles nearby narrowly missing the parked car, posing a potential risk of collision at any moment.


In less than a minute, the Integrated Service Office of the Fifth Highway Traffic Police Team swiftly deployed an unmanned aerial vehicle to the scene. They communicated via megaphone to instruct the parties involved to move off the shoulder to the interchange exit, while simultaneously dispatching nearby law enforcement to handle the situation.

Behind the rapid handling of this traffic violation incident, which lasted less than a minute, lies the collaboration between Hangzhou Public Security High-speed Traffic Police and Hikvision, working together to createA Multi-party Collaborative Handling of the Digital Intelligence Platform(Successfully abbreviated to "Digital Intelligence Platform,")Please provide the Chinese content to be translated.Intelligent PerceptionPlease provide the Chinese content to be translated.AI Large Model TechnologyDeep Integration, ThroughAll-around Vision Integrated Machine, Event Detection ServerWaitIntelligent devices proactively, rapidly, and accurately detect abnormal emergencies, enhancing emergency response efficiency and ensuring safe high-speed passage.

AI Large Models Enhance Accuracy in Traffic Incident Detection

Launched for a month, the early warning system has produced over 9,000 abnormal event notifications.

"Dealing with traffic risks from abnormal events such as traffic accidents, vehicle breakdowns, and violations is always a pain point and难点 in traffic safety management. Especially during holidays like the Dragon Boat Festival, high-speed road traffic is fast, heavy, and accidents can have severe consequences, making the risks even more pronounced." A relevant official from the Hangzhou Public Security Bureau's Highway Traffic Police Branch stated.


In response to the 30 road sections within the jurisdiction that have high traffic flow, high accident rates, and a high proportion of bridges and tunnels, Hangzhou Highway has launched the new Hikvision Surround View Integrated Machine. It also employs event detection servers equipped with the Hikvision ViewLance large model to address real-time emergency situations related to five types of abnormal events with high frequency and severe consequences: illegal parking, changing lanes in solid lines, pedestrians (two-wheeled vehicles) violating no-entry zones, littering, and traffic congestion.Video StructuringOur calculation analysis, equipped with large model algorithms, effectively addresses the challenges of false and missed detections in complex scenarios, such as spilled materials, parking, and pedestrian events, significantly enhancing the accuracy of event detection.


The Hangzhou Public Security Highway Traffic Police Brigade introduced that the newly launched all-around view integrated machine achieves the capture, perception, and calculation of road scenes within a two-kilometer range with a single front-end device. It打通 the "end-to-end" minute-level full-process output, maximizing the application efficiency of the minimum road equipment unit to "one for three."Perception devices promptly trigger alarms upon detecting anomalies, and complement this with aerial surveillance technologies such as drones, optimizing the resolution of traditional methods that suffer from low efficiency and time-consuming manual processing.The long-awaited challenge

Since the launch of the new product one month ago, over 9,000 abnormal event alerts have been produced, with an accuracy rate of over 95% throughout the day, significantly improving the dynamic risk prevention and control capabilities of the highway jurisdiction.


Digital Platform Supports "30-Minute Response Red Line"

Emergency response efficiency increased by 31.8%.

In response to complex emergency situations, the Hangzhou Highway Traffic Police, relying on a digital intelligence platform, has innovatively introduced a "Three-in-Place" management approach. They scientifically set a "30-minute response deadline." Once it is determined that the response time exceeds the threshold, the command center immediately activates the "whistle mechanism," implementing "tail-end warning in place," "obstacle removal and rescue in place," and "on-duty cadre supervision in place."The "In Place" Mechanism.

Additionally, the digital intelligence platform, with disposal, decision-making, and collaboration at its core, integrates multiple data resources to establish a "One Road, Many Parties" joint logistics,联动 coordination, and construction system. All patrol highway traffic police teams are co-located with highway owners for office work, achieving a streamlined and efficient full-process management from discovery, disposal, notification, arrival, on-site, to closure. 24-hour mainline rescue stations are set up on key sections to promote quick handling and withdrawal of emergencies.

In the face of complex situations, establish command center supervision, coordinate high ground联动, and implement emergency plans such as traffic diversion and control. Efficiently handle police emergencies through a "three-pronged approach" utilizing digital platforms.

Since the launch of the platform and the implementation of various measures, the efficiency of handling abnormal emergencies in the jurisdiction has increased by 31.8%, and related accidents have decreased by 14.9%.



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