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In the present-day context, security has emerged as a matter of utmost significance, particularly for individuals and businesses striving to safeguard their assets and people. While conventional video surveillance systems have long been relied upon, they come with inherent limitations.
Digital Video Recorders vs. Network Video Recorders. All of the cameras in a given system require a central video recorder in order to transmit and archive the footage they are capturing. DVRs evolved from the older VCR models, while NVRs represent the next step in the evolution of video recording technology. Heres a side-by-side look at how DVRs and NVRs compare.

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How facial recognition works. You might be good at recognizing faces. You probably find it a cinch to identify the face of a family member, friend, or acquaintance. Youre familiar with their facial features - their eyes, nose, mouth - and how they come together. Thats how a facial recognition system works, but on a grand, algorithmic scale. Where you see a face, recognition technology sees data. That data can be stored and accessed. So how does facial recognition work? Technologies vary, but here are the basic steps: Step 1.
A Webcam Live Stream App is a software application designed for streaming live video or audiovisual content from a webcam. These apps offer features for encoding, real-time streaming, and compatibility with streaming platforms, making it easy to engage with an online audience.
SmartVision provides a robust platform, ensuring users can effectively manage and access their local video archives, whilst also enjoying advanced functionalities like time-lapse recording and face recognition. When used in tandem with Video Surveillance Cloud, it offers a harmonized solution that balances local and cloud-based storage and analytics, ensuring users experience an uninterrupted and efficient surveillance solution.

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To illustrate, conventional systems require approximately 6.5 Tb of disk space to create a continuous archive for one 1080p IP camera over a year. Multiply this value by the number of cameras to understand the costs associated with equipment and cloud storage. SmartVision , leveraging object detection based on neural networks and time-lapse recording, can reduce the video archive size by hundreds of times.
In night vision mode, the image displayed is typically black and white, while it is colored in daylight mode. This difference arises due to the way cameras process light in low-light conditions. Infrared light is invisible to the human eye but can be detected by the camera sensors. In night mode, cameras leverage infrared light to illuminate the scene, and since infrared light doesnt contain color information, the resulting image is in grayscale. This approach enhances the contrast and allows for better object detection and recognition in dimly lit environments, making it invaluable for security purposes.
Due to its high demand, the number of invitations to connect SmartVision to the cloud is limited. For those interested in joining the waiting list, reach out through the support section.
By switching between these two modes, cameras ensure optimal video quality regardless of the lighting conditions. Colorful daytime footage can provide details like the color of a car or a persons clothing, while the black and white nighttime mode ensures clarity and visibility in the dark.
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