Redefining edge AI deployment & management for construction sites surveillance
Growing Edge AI efficiency with Namla and Evercam
Evercam is a pioneer in providing video surveillance systems for construction sites. Evercam increases construction productivity by improving project visibility with its complete video analytics & recording stack.
Evercam considered deploying GPU based Nvidia Jetson devices for their future endeavors, aiming to execute AI container-based workloads directly at the Edge. Their primary concerns were efficiently deploying Jetson devices while limiting on-site visits, ensuring remote device access with robust security, and ensuring complete infrastructure visibility.
Bring the Edge to the new software defined era
In a combined effort, Namla collaborated with Evercam, focusing on deploying Nvidia Jetson-based devices and streamlining the process through Namla's Zero Touch Deployment (ZTD). This strategic partnership aimed to revolutionize the deployment practices, eliminating the necessity for manual configurations. With Namla's ZTD feature, Evercam seamlessly deployed numerous Jetson devices across their construction sites. This streamlined approach ensured a rapid, hassle-free deployment process.
Namla & Nvidia
Leveraging Namla Platform on Seeed studio's Nvidia Jetson Orin Nano GPU-equipped Recomputed devices, we were able to insure
Effortless Deployment : Seed Studio's hardware paired with Namla's Zero Touch Deployment (ZTD) enabled seamless, automated device rollout, eliminating manual configurations and reducing on-site visits. Unparalleled Security : Namla setups a secure overlay between the Edge and the Cloud, allowing a total secure remote access to each edge location. Moreover, Namla's secure device onboarding and continuous attestation allow to provide highest level of security at the Edge, safeguarding sensitive data and guaranteeing robust Edge infrastructure protection. End to End Visibility : Evercam gained a full visibility of the hardware infrastructure, network utilization and application monitoring in a single pane of glass, giving them real time insights that enhanced troubleshooting and reduced downtime.
What was achieved
Faster & Cheaper Deployments
Evercam was able to streamline the deployment of Edge devices across multiple locations that are geographically distributed, with hard physical access & no local IT staff. With Namla ZTD, the devices just needed to be shipped, plugged into power & in 10 minutes they were onboarded onto the platform and accessible. This considerably reduced deployment time & eliminated the need for onsite visits & related costs.
Scalable foundation for future AI Advancements
Namla provided a Cloud native environment, based on Kubernetes orchestration, allowing Evercam to seamlessly deploy their existing NVR & Video surveillance system, but also any other container or VM based workload. This offered a foundation for any future of AI deployment on the existing infrastructure without the need for application customization.
Improved Cloud level performance, Availability & Security
Namla Cloud Native SD-WAN not only automated network & security at the Edge, but also provided enhanced performance, availability & security capabilities. This allowed Evercam to take advantage of cloud level capabilities at the Edge, increasing service availability & reducing downtime.
Enhanced Edge Operations Efficiency
Namla's secure remote edge access in addition to its full stack monitoring and observability provided Evercam with a complete 360° view of the Edge, offering real time insights & instantaneous alerts. This not only increased the visibility of each component of the entire Edge infrastructure, but also reduced response time to eventual problems and enhanced troubleshooting.
CEO, Evercam