Think of the legacy CCTV system at your office or home. It silently records footage, offering no warning—no shout of, “Alert! Intruder is here!”—when a crime is in progress.

The story is different with AI cameras, a product of deep learning advancements. These devices possess a smart, integrated brain that allows them to think and make judgments right at the scene.

Hanwha Vision’s AI cameras realize this intelligence through three core principles, all meticulously optimized for real-world security needs. Let’s explore the secret behind these technologies that empower the camera to act like your most trusted security veteran.

Edge AI: Immediate On-Site Analysis

Older video surveillance required transmitting massive video streams to a distant central server for analysis, simply because the camera lacked the intelligence to do it itself. This transmission inevitably introduced latency—a delay that was often the bottleneck for rapid emergency response.

Today’s AI cameras pack a powerful brain directly into the unit—a technology known as Edge Computing. The “Edge” is the site itself. By processing critical information locally, without sending video outside, the camera can instantly detect and respond to threats or accidents with no delay. This is a game-changer, effectively eliminating the time lag that was once the Achilles’ heel of CCTV systems.

Hanwha Vision ensures stable Edge AI operation by applying various lightweighting technologies to its deep learning models, allowing the AI camera to deliver maximum performance and accuracy.

Battle-Tested Robustness in Any Environment

Security cameras must perform flawlessly, whether facing direct sun glare, heavy rain, or complete darkness. These rapidly changing, non-standard environments can cause standard AI models to fail or miss crucial objects due to visual inconsistencies.

Hanwha Vision’s AI models are trained on extensive data featuring adverse conditions to ensure unparalleled robustness. The training goes beyond typical scenarios, incorporating specialized datasets that include partially obscured objects or items rarely seen by a security camera. This preparation guarantees stable object detection and classification in complex or challenging environments, maintaining consistent accuracy and minimizing false alarms regardless of external factors.

Hanwha Vision Object Detection Model Training Pipeline

BestShot, Capturing the Definitive Moment

In security monitoring, specific evidence is far more valuable than general observation. Operators need actionable intelligence—knowing that “a person in a red shirt moved east,” rather than simply “someone passed by.”

Hanwha Vision’s AI camera automatically captures and saves the image with the highest evidential value—the BestShot—by simultaneously evaluating an object’s sharpness, size change, and level of occlusion. Critically, this BestShot is tagged with rich metadata analyzed by the AI model. This goes beyond simple classification (person or vehicle) to include details like clothing color, whether a bag is carried, and the direction of travel. This abundance of metadata and the perfect BestShot allow security personnel to find the specific object they are searching for in a matter of seconds.

Detailed Attributes Extracted by Hanwha Vision AI Cameras

For a deeper dive into the operational principles and technical advantages of Hanwha Vision Edge AI cameras, please refer to our white paper.