In the field of highway traffic incident detection, constrained by model scale and...Generalization capabilityMisreporting and missed reporting of events such as littering, parking, and pedestrian incidents in complex scenarios have always been a bottleneck in the industry.

Hikvision, with years of industry accumulation, leverages the technical foundation of the Guanlan large model to build dedicated data models for industry scenarios such as road events. Deeply integrated with intelligent hardware, it introduces the new generation of event detection product series, precisely identifying abnormal road events, and contributing to the safety and smoothness of road traffic.

Traditional traffic event detection algorithms heavily rely on manually annotated specific-scenario data, requiring the collection of samples and training models for each event type individually. This often leads to missed detections and misjudgments in practical applications due to incomplete sample coverage.For instance, during rainy days when there's water on the road surface, it's easy to misreport it as spilled material.

For instance, on a high-speed road equipped with 1,500 cameras, traditional algorithms can detect over 1,000 events daily. Reducing the number of invalid events and lowering the workload for manual reviews, as well as improving the response speed from detection to handling of genuine abnormal incidents, will be crucial for enhancing the operational efficiency of expressways.

Hikvision has enhanced its Wulan large model by leveraging industry-specific pre-training and fine-tuning, enabling the model to achieve expert-level capabilities in event detection. Compared to the traditional convolutional neural networks in the industry, the model based on the Transformer architecture boasts a deeper network structure, superior global feature extraction, and contextual modeling abilities. This results in a stronger generalization capability, systematically addressing the challenges of false positives and missed detections in complex scenarios.

Hikvision's event detection product line, powered by large models, extracts effective information from multi-dimensional signals, uncovers potential relationships between different modalities, enhances comprehensive understanding of the physical world,突破s breaks through the performance limits under various environments like day and night, rain, fog, etc., and facilitates large-scale application deployment from the edge to the core.

The Traffic Incident Detection product series is based on the Hikvision ViewLance model technology system, enhancing the performance and effectiveness of intelligent applications.

Moving forward, we will continue to delve into large model technology, integrating the multimodal large model of Guanlan's graphic understanding and reasoning capabilities, to expand its applications in scenarios such as road accidents, road collapses, and abnormal weather conditions. This will enable a better understanding of roads and drive the continuous upgrade of industry intelligence.