AI-based Image Enhancement

Video surveillance doesn’t always happen in ideal conditions. Backlit entrances wash out faces. Dim corridors hide movement. Traditional noise reduction often sacrifices sharpness, while excessive WDR tuning creates unnatural contrast.

The result? Missed details, unreliable analytics, and wasted storage on unusable footage.

Conventional noise reduction techniques often blur details or leave ghosting effects. Our AI-NR takes it a step further — the AI model is meticulously trained on the unique noise characteristics of each specific image sensor, enabling it to distinguish real image data from noise at a pixel-by-pixel level.

Rather than simply smoothing over imperfections, it selectively removes noise while preserving fine textures, sharp edges, and natural colors, even in extremely low-light environments. By eliminating unnecessary noise data at the source, the AI-NR technology not only delivers remarkably clear and detailed video, but also reduces bitrate for more efficient storage and network performance.

Unlike conventional systems that mainly controlled high-speed shutters to reduce blur, AI-based Prefer Shutter technology uses the latest AI to identify object appearance and movement. This allows it to automatically readjust the shutter speed to an optimal level, effectively improving noise while minimizing motion blur.

In scenes without movement, the shutter slows down to ensure low noise and bright, clear images. Conversely, when significant object movement is detected, the shutter speeds up to reduce blur and deliver crisp visual clarity.