Hikvision Unveils Vision Large Model Cameras, Pioneering Edge-side AI Deployment

03/05 2025 471

Embarking on 2025, Hikvision leverages its Guanlan large model technology system to directly integrate advanced AI capabilities into edge devices, unveiling a comprehensive series of vision large model cameras. These cameras not only excel in imaging quality but also transcend traditional limitations, enhancing scene adaptability and complex target recognition. This groundbreaking advancement significantly boosts target detection rates, minimizes false alarms, and enables zero-sample recognition, broadening the spectrum of detectable objects.

By drastically cutting down false alarms and simultaneously improving detection accuracy, Hikvision addresses a common pain point in smart camera applications. Factors like diverse scenes, lighting conditions, and weather can trigger numerous false alerts, increasing operational costs, detracting from user experience, and eroding trust in event responses.

Over two decades, Hikvision has cultivated deep expertise in the video domain, amassing extensive scenario-specific industry knowledge to develop a pre-trained large model. During pre-training, this model incorporates diverse real-world interference data, such as rain, snow, fog, strong light flicker, animal movements, and vibrations, undergoing robust data augmentation to markedly elevate intelligent recognition precision and accuracy.

Furthermore, Hikvision has established a comprehensive large model deployment technology system, focusing on model lightweighting, computational efficiency, and resource optimization. This includes innovative research into model structure design and quantization technology, culminating in vision large model cameras tailored for various scenarios.

In perimeter applications, Hikvision's large model alert camera series, encompassing dome cameras, IPCs, and multi-camera systems, outperform traditional video perimeter products. With an increased recognition distance and over 90% reduction in false alarms (based on actual project data), these cameras demonstrate remarkable capabilities. For instance, in a test scenario using a 4mm lens, the vision large model camera detects personnel intrusion at 70 meters, compared to 40 meters for previous deep learning algorithms and just 20 meters for traditional smart algorithms. Under the same conditions, while traditional algorithms struggle to differentiate between personnel and birds, the vision large model camera accurately filters out bird-related false alarms.

In traffic event detection, Hikvision introduces radar-vision integrated cameras, event detection cameras, and FOD radar-vision integrated systems. These innovations effectively address false alarms and missed reports for scattered objects, parking, and pedestrians in complex highway scenarios.

For traffic checkpoints, Hikvision offers checkpoint capture units, non-motor vehicle capture units, and radar-cloud ship checkpoint integrated systems. In cab feature recognition, these cameras efficiently filter false alarms due to low contrast, occlusion, or complex poses, and similarly distinguish between genuine phone calls and false alarms caused by hand gestures or holding objects.

Hikvision's cameras support zero-shot open recognition, expanding target recognition categories significantly. Traditional intelligent applications require target-specific recognition algorithms, entailing high sample collection costs, limited category expansion, and lengthy training cycles. By deploying an open object detection large model within the camera and employing a unified modal learning solution, Hikvision enables "description is recognition." Users can input a word or sentence to generate a custom model on demand, facilitating target recognition without prior sample training.

Vision large model cameras achieve scene-defined image quality through deep "hardware + algorithm" integration. Utilizing professional large aperture lenses, high-sensitivity sensors, and extensive low-light scenario experience, an end-to-end intelligent large model algorithm is employed to differentiate signals from noise, perform precise denoising, and enhance night vision image signal-to-noise ratios. This ensures rich image details, realistic colors, and superior video image support for intelligent applications, even in adverse conditions like heavy rain, haze, overexposure, and color cast.

From basic visual perception to clear, insightful understanding, the advent of large models further empowers Hikvision's technological and product innovation. Hikvision now offers a diverse range of vision large model cameras, including alert series, traffic event detection series, checkpoint capture series, robotic arm collision prevention series, anti-vibration and anti-shake series, and inspection series, marking a significant leap forward in intelligent surveillance.

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