Aetina’s new EdgeEye platform set to transform edge AI device management

Aetina’s new EdgeEye platform set to transform edge AI device management

Aetina, an edge device manufacturer and AI solutions provider, has added a new cloud-based management platform to its portfolio of edge AI products. The EdgeEye platform aims to help enterprises improve operational efficiency by simplifying edge computing device management.

Currently, the company boasts the new solution enables remote data collection, remote troubleshooting, system monitoring, and power cycling, in a bid to eradicate the risk of prolonged device downtime.

The solution adopts a browser-based platform to offer a management dashboard accessible via smartphones, tablets, and laptops. Additionally, the platform supports out-of-band (OOB) management, to allow management in online and offline situations, while continuously monitoring device operation status through in-band management technology.

Speaking about the new platform, James Su, director of software development at Aetina, commented: “In smart city scenarios, such as traffic surveillance devices spread across the city or the rapid rise in recent years of large-scale green energy devices like solar and battery equipment, troubleshooting and system rebooting by technicians incur not only manpower costs but also difficulties in responding to device downtime in real-time.

“EdgeEye can simultaneously monitor multiple devices. Once system abnormalities are detected, EdgeEye will proactively send warning notifications, enabling real-time remote rebooting and troubleshooting. This reduces manpower and maintenance costs, thereby enhancing the efficiency of device management in the AI era.”

Moreover, as awareness of cybersecurity and protection of business confidentiality increases, many enterprises are turning to private cloud architectures to prevent data leaks, Aetina notes. The EdgeEye platform focuses on allowing enterprises to deploy EdgeEye servers within their own domains to ensure data security and privacy. The platform is also built on a private cloud architecture.

Last year, the company developed an advanced edge AI solution that upgrades the existing automated optical inspection system found in manufacturing plants. Aetina created its edge AI solution by utilizing its SuperEdge AI platform.

Read more:

Aetina unveils MXM module powered by Hailo-8 AI inference processor

Aetina showcases Nvidia Jetson Orin Nano-based edge AI computers for computer vision

Article Topics

 |   |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Sponsored Links

Avassa: Empowers companies to bridge the gap between modern containerized applications development and operations and distributed edge infrastructure. https://avassa.io/

DataBank: We believe there is a different edge to be served - the “middle edge" - that will become the first step for many in their journey to the edge. https://www.databank.com/

Latitude.sh: Where the power of bare metal meets the flexibility of the cloud. Deploy physical servers across 23 global locations in as little as 5 seconds. https://www.latitude.sh/

Zenlayer: A massively distributed edge cloud service provider operating over 270 PoPs around the world, with expertise in fast-growing emerging markets. https://www.zenlayer.com/

OnLogic: A global industrial PC manufacturer and solution provider focused on hardware for IoT and edge AI, OnLogic designs highly-configurable computers engineered for reliability. https://www.onlogic.com/

Featured Company

Latest News