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Hanwha Vision unveils AI cameras for diverse environments

published on 2025-06-16 15:00:42 UTC by Millie Marshall Loughran
Content:

Hanwha Vision has introduced its second-generation X series AI cameras, with six available models, powered by the new Wisenet 9 AI-native System on Chip (SoC). 

Designed for diverse environments, this next generation of cameras is said to ensure clearer images, smarter monitoring and more efficient data handling for security operations – while delivering superior AI object detection and attribute extraction, as well as enabling greater control over AI functions.

At the core of the second-generation X series AI cameras is Wisenet 9, an AI-native SoC with powerful dual neural processing units.

While one NPU handles image processing, the other focuses on object detection and advanced analytics.

The company’s dual-NPU concept was introduced to ensure video quality and analytics have independent resources, with the aims of allowing for ultimate performance and preventing one function from impacting the other.

Powerful AI cameras

Hanwha Vision has articulated that the AI event detection pipeline is separated into three independently adjustable streams: Metadata streaming, intelligent video analytics and image enhancement.

This reportedly allows users to tailor detection settings, utilise specific features and reduce unnecessary alerts. 

Intelligent video analytics on the cameras use advanced AI object detection to trigger events.

The second-generation X series AI camera reportedly features a host of analytics such as vehicle counting, people counting and queue management to address a wide range of customer needs.

Additionally, analytics such as slip and fall detection, face mask detection and social distancing detection are said to be available.

Pinpoint analytics

The range features BestShot, a function that captures and transmits the most relevant images of classified objects.

These images, cropped directly around the detected objects by the AI camera reportedly accelerate forensic searches.

Metadata such as gender, vehicle type and clothing colour is transmitted alongside the images to further streamline the search process. 

With AI-based Wide Dynamic Range (WDR), the models reportedly capture fine details in both dark and brightly backlit areas by reducing saturation in bright spots and improving shadow visibility.

AI Noise Reduction aims to minimise noise in low-light environments, ensuring sharper, enhanced images. 

For privacy protection, AI-powered Dynamic Privacy Masking (DPM) is said to provide real-time safeguarding of personal information at the edge with objects, such as people, faces, vehicles and licence plates, dynamically masked with a mosaic or colour overlay.

RE-ID technology

The range also includes RE-ID technology. RE-ID technology, for example, has the capabilities to identify a person entering a building with an orange jacket and later recognise the same person leaving with the jacket unzipped and a hat, across different cameras.

Hanwha Vision‘s second-generation X series AI cameras are also said to enable comprehensive and trustworthy cybersecurity.

With Secure Storage, Secure OS and Secure Boot, these cameras prevent the execution of unauthorised software and ensure the integrity of captured data. Furthermore, the cameras are FIPS 140-3 Level 3 certified.

Article: Hanwha Vision unveils AI cameras for diverse environments - published 4 months ago.

https://securityjournaluk.com/hanwha-vision-ai-camera-diverse-environments/   
Published: 2025 06 16 15:00:42
Received: 2025 06 16 16:09:38
Feed: Security Journal UK
Source: Security Journal UK
Category: Security
Topic: Security
Views: 10

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