Software Matrix

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.
Computer vision is the broad parent name for any computations involving visual content - that means images, videos, icons, and anything else with pixels involved. But within this parent idea, there are a few specific tasks that are core building blocks:

Broadcasting Software

Considering the capabilities of present-day computer vision, it might be hard to believe that there are more benefits and applications of the technology that remain unexplored. The future of computer vision will pave the way for artificial intelligence systems that are as human as us. However, before doing so, there are a few challenges that must be overcome, the biggest of them being the demystification of the black box of AI. Thats because just like other deep learning applications, computer vision, while being functionally effective, is undecipherable when it comes to its inner workings.
Utilizing Artificial Intelligence technologies, SmartVision significantly economizes on both local disk and cloud space by reducing the frames per second in situations where no movement is identified in the video frame. For comparison, conventional systems typically demand approximately 6.5 TB of disk space to perpetually archive footage from a single 1080p IP camera over one year. SmartVision , harnessing neural network-driven object detection and time-lapse recording, is able to dramatically diminish the video archives size, reducing it potentially by a factor of hundreds.
For security personnel monitoring numerous surveillance cameras, attention fatigue is a significant concern. Research suggests that human attention starts to wane after as little as 20 minutes of continuous monitoring. With each additional camera feed added to a screen, the cognitive load on the observer increases. After about 8 hours of uninterrupted observation, a persons ability to detect and respond to unusual events drops dramatically.

Video Surveillance Software

Considering a high-resolution cloud camera, the monthly data consumption can be immense. For instance, a camera streaming at 1080p resolution, 30fps, 24/7, can consume upwards of 300GB in a month, not accounting for other factors like bitrate and compression.
One way to address these challenges is by shifting video analytics from the cloud to the camera itself or a local computer. Desktop software like SmartVision can process video feeds locally, reducing the need for powerful server infrastructure and minimizing the bandwidth used for uploading.
With local processing, only event-triggered clips or metadata might need uploading, drastically reducing the amount of data transmitted. This not only saves bandwidth but also speeds up the analytics process, as theres no delay in sending data back and forth to the cloud.
While local processing solves many problems, storage can still be a concern, especially with high-resolution cameras recording continuously. Combining local software like SmartVision with cloud storage solutions like Video Surveillance Cloud can offer the best of both worlds. Video is processed locally, and only essential data or clips are uploaded to the cloud, ensuring efficient use of storage and bandwidth.
Software Matrix