The inner workings of any AI system can seem like black box that produces magic results. The new Dahua Xinghan Large-Scale AI Models are no exception, especially from the perspective of the astonishing results they produce.

This article focuses on the magic—the real-world benefits—that Xinghan enables in physical security scenarios, while this companion piece takes a peek inside the black box and explores how Dahua pushes the limit of what’s possible. In this regard, Xinghan marks a significant leap forward—from previous generations of AI based on convolutional neural networks (CNN) that analyze visual impulses, to large-scale AI that can processes visual information, context and language simultaneously.

Dahua’s new AI comes in three different series—the Xinghan Vision Models, the Multimodal Models, and the Xinghan Language Models. While the names suggest complexity, their impact is plain to see in all major fields in which AI drives innovation—from better detection to smarter decisions and intuitive controls.

By packaging the new AI into three models, Dahua ensures each one of them excels in its domain and runs efficiently on the appropriate hardware. Cameras, NVRs, IVSSs and IVDs only load the respective model they need, so edge devices stay responsive while back‑end systems focus on deeper reasoning.

This practice-focused approach shows that empowering new security workflows was front-and-center in the development of Xinghan. Each technical innovation enables practical innovation:

1. From Accuracy to Precision

2. From Fragmented to Centralized Applications

3. From Recognition to Understanding

4. From Static Reaction to Dynamic Adaptation

5. Enhanced Language and Multimodal Capabilities

Visible improvements

Xinghan can recognize people and objects that are smaller, farther away or partially occluded—tasks that often confound older CNN-based AI models. The Dahua Xinghan Vision Models tackle this issue with a Transformer-based architecture that enables a maximum detection range that increased by 50 percent in comparison with previous models, while ensuring 98 percent accuracy.

Leveraging the capabilities of the Xinghan Large-Scale AI Models, Dahua devices can automatically identify the scene in the image and determine whether to activate or deactivate WDR based on changes in the picture. This eliminates the need for manual adjustments, ensuring a clear image while reducing the user's operational burden.

Additional visibility isn’t just about spotting more, however. It also means triggering fewer false alarms by understanding the visual context of the scenes at hand more accurately. A key part of this is better threat/non-threat distinction: differentiating, for example, between a dog and a person, or movement in the bushes due to wind and an actual intrusion attempt. Xinghan reduces the number of false alarms by 92 percent.

These improvements matter in all environments in which perimeters need protection—from industrial parks and mines to critical infrastructure, government sites and many more.

Making sense of multiple things at once

Keeping track of public spaces is another area where the Xinghan Vision Models excel. Tracking individuals in such scenarios posed great challenges to older AI technology, especially when target-individuals pass behind objects or their paths cross with others.

Thanks to WizTracking, the Xinghan Vision Models maintain consistent tracking even when people are partially occluded, as the new AI can analyze sequences of frames and recover motion paths based on temporal logic. This is especially beneficial in the surveillance of public spaces and social governance scenarios—from public parks to parking lots, but also in factories. The technology empowers better, more detailed scene understanding and thereby speeds up the workflow of security teams.

With Xinghan, the ability to handle crowd surveillance on rainy days when most people carry umbrellas also increases significantly. In such scenarios, accuracy improves by 80 percent.

Especially useful during peak hours at transportation hubs or public events, another Xinghan feature—Crowd Map—helps analyze density and flow patterns at an area level, flagging crowding or occupancy thresholds.

Intuitive interaction

The innovations that come with Dahua Xinghan Large-Scale AI Models go far beyond the visual realm. Adding the next layer of intelligence to the vision-centric AI, the Xinghan Multimodal Models enable users to interact with their security system intuitively.

One of the central features of the Xinghan Multimodal Models is WizSeek, thanks to which users no longer need to navigate rigid menus to find critical footage. Instead, they can simply type a query like “man in blue jacket near the gate” and receive the corresponding footage instantly.

WizSeek greatly simplifies the workflow of security teams by making an often-used feature as intuitive as asking a colleague for help.

Text-defined alarms, on the other hand, allow users to create custom detection rules by simply entering natural-language instructions. Instead of time-intensive algorithm training, they can type, for example, “alert me when someone enters the restricted zone wearing a backpack.” The Xinghan Multimodal Models deploy the rule immediately, cutting alarm setup time from weeks to under a minute.

The benefits of the Xinghan Multimodal Models extend across many verticals. In traffic surveillance, for example, WizSeek helps reconstruct incidents like collisions or wrong-way driving by filtering footage. In industrial parks or power stations, security teams also benefit from faster search through inspection footage for security code violations, or simplified set up routines for custom alerts for incidents.

Conclusion: A veritable workflow revolution

Across all these fields of application, Xinghan reduces friction and enables more responsive, accurate monitoring, while accelerating every step in the process.

As this article has shown, Xinghan isn’t just an evolution in AI technology—it also marks a leap forward in how security teams operate and interact with their systems. From sharper vision and smarter tracking to intuitive rule creation and natural-language search, Xinghan brings large-scale AI down to a human scale.

Regardless of where it’s deployed, the practical impacts of Xinghan are immediate: fewer false alarms, faster decisions, and new workflows adapted to the complexity of the real world.

Source: https://www.asmag.com/showpost/35185.aspx