2025.08.19
Less Data, Uncompromised Quality
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At a glance
- WiseStream uses AI to drastically reduce video data (average 50%) without sacrificing quality, leading to lower costs and improved scalability for surveillance systems.
- New products using Wisenet 9 enhance WiseStream’s performance by utilizing AI NR for more accurate data analysis and reducing data in static scenes through frame reuse.

Are your video surveillance systems struggling under the weight of ever-increasing data?
In today’s security landscape, your video surveillance system is essential, but it can also be a hidden drain on resources. Security cameras are among the highest data-generating IoT devices, constantly producing massive amounts of high-resolution video. This continuous influx quickly overwhelms storage capacity, strains network bandwidth, and demands extensive processing power. This isn’t just a technical hurdle; it directly translates into soaring operational costs and limits your ability to scale effectively.
What if you could keep your crucial footage crystal clear while dramatically shrinking your data footprint? Hanwha Vision‘s innovative WiseStream technology makes this possible, leveraging cutting-edge Artificial Intelligence (AI) for video data reduction and management.
The AI-Powered Difference
At its core, WiseStream integrates Hanwha Vision‘s proprietary AI directly into the video encoding process. Unlike traditional methods that treat every pixel equally, WiseStream’s AI engine intelligently identifies and focuses on what truly matters (key objects like people, faces, and vehicles) in real-time. This smart approach allows the system to:
- Prioritize Clarity: Regions of Interest (ROI) where objects are detected maintain high image quality, ensuring vital details remain sharp and clear.
- Optimize Storage: Non-ROI areas, where no objects are present, are subjected to higher compression rates. This intelligent allocation of resources significantly reduces overall data size without compromising critical information.
- Streamline Static Scenes: Even in static environments with minimal movement, WiseStream’s AI analysis minimizes unnecessary data generation, ensuring efficient compression across the entire scene.
More Than Just Data Savings
The impact of WiseStream’s intelligent compression is substantial. Our performance validation tests demonstrate an average data size reduction of 52%, with some scenarios showing a remarkable 80% reduction in bitrate, especially in environments with limited motion and complexity. This translates directly into:
- Lower Infrastructure Costs: Less data means reduced demands for expensive storage hardware and network bandwidth, leading to significant savings on deployment and ongoing operations.
- Enhanced System Scalability: Businesses can deploy more high-resolution cameras within their existing network infrastructure, expanding coverage without a complete system overhaul.
- Extended Video Retention: The ability to store more video in the same amount of space means longer retention periods, crucial for meeting compliance requirements and supporting in-depth analytical needs.
The Wisenet 9 Synergy
WiseStream’s capabilities are further amplified when paired with Hanwha Vision‘s Wisenet 9 SoC (System on a Chip). The Wisenet 9’s AI Noise Reduction technology cleans up video footage, allowing WiseStream to analyze essential information with greater accuracy and reduce even more extraneous data. Furthermore, Wisenet 9 products intelligently minimize data generation in static areas by reusing previous frames, preventing unnecessary data transfer and ensuring clearer, more efficient video management.
In an era where video data continues to grow exponentially, efficient data management is no longer optional—it’s essential for a smart, cost-effective video surveillance strategy. Hanwha Vision‘s WiseStream technology provides a robust solution, delivering a powerful combination of superior image quality and exceptional data efficiency.
Ready to revolutionize your video surveillance operations? For a detailed technical breakdown of this groundbreaking technology and its real-world applications, we invite you to read the full whitepaper.