The AI Secret to Crystal-Clear Security Footage

Ever notice how your phone photos just look better, even when the lighting’s tricky? Or how a security camera somehow clears up a blurry night scene? That’s image enhancement at work! It’s quietly refining visual info to make it sharper, more vibrant, and just plain more useful. From instantly fixing a dark snapshot to sharpening crucial details in a surveillance video, advanced processing is constantly evolving how we interact with images.

Hanwha Vision Wisenet 9, our newest System on a Chip (SoC), brings this incredible image enhancement power to the forefront of professional video surveillance. Wisenet 9 fundamentally changes how security cameras capture and process video, especially in challenging situations like really low light or extreme backlighting. The result? Uncompromised clarity, superior visibility, and smaller file sizes, setting a new benchmark for the industry.

At the heart of Wisenet 9 is its dual-NPU (Neural Processing Unit) architecture. Think of these as two powerful AI brains dedicated to different, yet complementary, tasks: one focuses on advanced image enhancement, and the other on video analytics. This setup really maximizes overall efficiency.

Wisenet 9’s standout feature is its AI-based Noise Reduction (AI-NR), which operates completely differently from older methods.

Conventional noise reduction typically blurs surrounding pixels or averages across sequential frames to cut down on noise. While it helps to some extent, these methods often come with a big drawback: detail loss. Fine textures can get smoothed out, and the edges of moving objects might look blurry or even leave «ghosting» effects. Plus, if some noise isn’t completely eliminated, later image enhancements like brightness or color adjustments can actually make that remaining noise even worse, further degrading video quality.

Wisenet 9’s AI-NR overcomes these limitations. Instead of simply blurring, our AI is meticulously trained on the unique noise characteristics of each specific sensor. This allows it to precisely differentiate between noise pixels and actual image information at a super granular, pixel-by-pixel level. It’s like a surgeon precisely removing only the unwanted elements while preserving every vital detail.

This precise, AI-driven noise removal ensures images stay incredibly clean while perfectly retaining detail, sharpness, and accurate colors. Crucially, this foundational reduction of unnecessary noise data also leads to a significant reduction in bitrate. Less redundant data means vastly improved efficiency for storage and network bandwidth. The bottom line? Wisenet 9 delivers astonishingly clear and sharp video, even in extremely low-light conditions, while simultaneously optimizing operational efficiency.

Curious to dive deeper into how Hanwha Vision‘s Wisenet 9 is redefining video surveillance? Discover the full scope of its technological innovation and concrete benefits by reading our white paper today!