Empower your video surveillance system with AI without replacing your camera's fleet

Empower your video surveillance system with AI without replacing your camera's fleet
Younes Khadraoui

Published on August 27, 2024

Empower your video surveillance system with AI without replacing your camera's fleet
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In today's digital landscape, video surveillance systems are ubiquitous across various industries—retail stores, hotels, public spaces, and systems integrators (SIs) providing security solutions. The majority of these organizations already have cameras installed, primarily serving basic use cases like video live streaming and recording. However, as Artificial Intelligence (AI) continues to advance, these companies are increasingly looking for ways to enhance their video surveillance capabilities, automating manual processes and improving overall efficiency.

One common solution is to leverage cloud-based AI services. With this approach, AI is deployed in the cloud, and video streams are uploaded in real-time for processing. While this might seem like a convenient option, it comes with significant drawbacks. Continuous streaming to the cloud requires stable, high-bandwidth connectivity, which can be a challenge, especially when you consider streaming from multiple cameras simultaneously. Furthermore, any connectivity issues can disrupt the AI services, which is particularly problematic for sensitive sites that require constant monitoring. There are also data privacy concerns—many companies are uncomfortable with the idea of sending video footage of their premises outside their network.

But there's a better way to empower your existing video surveillance system with AI—without replacing your entire camera fleet. By deploying a small, dedicated device with a GPU (required to run AI applications) at each site and connecting your cameras to it, you can run powerful AI applications locally. This approach is not only more cost-effective but also faster to implement, as it only requires adding a single device to each site rather than replacing all existing cameras and video infrastructure.

With this setup, companies can easily upgrade their video surveillance capabilities without disrupting their current installations. AI applications like people counting, facial recognition, dangerous behavior detection, and retail customer behavior analysis can be deployed seamlessly, enhancing security and operational efficiency.

Streamlining AI Integration with Namla's Edge Management Platform

Leveraging Namla makes the process of deploying an edge infrastructure even more straightforward. Namla is a Cloud Edge Orchestration platform that allows companies to deploy and manage large-scale distributed edge devices efficiently across thousands of locations. With Namla, companies can deploy Edge devices with zero-touch, monitor both infrastructure and applications, and ensure secure device management. Namla's platform also supports edge-to-cloud secure and reliable connectivity with SD-WAN, providing flexibility and efficiency.

With Namla, companies can deploy any GPU based Edge devices (e.g. Nvidia Jetson) with zero-touch, meaning there is no need for the onsite presence of a technical engineer, making the process both cost and time-efficient. This zero-touch deployment streamlines operations, allowing devices to be set up and configured remotely, reducing the need for costly field visits.

Namla also provides comprehensive monitoring of both infrastructure and applications, allowing companies to quickly identify issues and troubleshoot problems remotely. This capability ensures that potential disruptions are addressed swiftly, minimizing downtime. Secure remote device management further enhances operational efficiency by enabling the safe and reliable control of edge devices from any location.

By using Namla, companies can easily deploy, update, and replace AI applications on existing edge devices, ensuring that their video surveillance systems remain flexible, secure, and efficient. This approach allows you to harness the power of AI without the significant costs and disruptions associated with replacing your entire camera fleet.

In conclusion, if you're looking to enhance your video surveillance system with AI, there's no need to replace your cameras. By deploying GPU-powered devices at the edge and leveraging Namla's orchestration platform, you can unlock advanced AI capabilities, improve security, and automate processes—all while keeping costs down and avoiding major disruptions to your existing setup. Empower your surveillance system today, and stay ahead of the curve in the ever-evolving world of security technology..