What is the difference between Edge AI Station α and AI-enabled surveillance cameras?

Edge AI Station α

AI-Camera

EDGEMATRIX Inc. develops and sells “Edge AI Station®,” a product for high-performance, high-functionality video edge AI equipped with a GPU. AI-enabled surveillance cameras can be used immediately with the AI functions provided by camera manufacturers, making it easy to start using AI.

On the other hand, GPU-equipped edge computing products such as Edge AI Station can be linked with existing non AI surveillance cameras and offer flexibility to adapt to customers' installation environments. This enables the system to achieve cost efficiency equivalent to or greater than that of AI-enabled surveillance cameras during initial deployment, while providing versatility and high processing power to meet a wide range of needs, from small-scale to large-scale and complex environments.

A wide range of practical applications with proven track records and high recognition rates that are not greatly affected by camera installation environments are available, reducing the burden of developing proprietary AI applications and AI models. This enables rapid implementation and cost reduction, allowing us to continuously provide advanced solutions tailored to customer needs.

Edge AI Station is an AI platform suitable for versatile and multifunctional environments!

Large Memory & Extra Training for Adaptability

With abundant memory resources, it maintains stable performance even in environments with many detection targets, and supports custom learning and additional tuning for each site.

Flexible Operation

It is also possible to switch between AI models according to the application, integrate AI models, and perform complex processing such as external system integration and analysis.

High scalability and investment results

In the medium to long term, it offers scalability to respond to changing needs and high investment returns.

Comparison between Edge AI Station α and AI-enabled surveillance cameras

The two are not mutually exclusive, and can coexist depending on the application and scale. A hybrid configuration can also be considered, in which camera-based AI, which is optimized for specific applications and ready for immediate use, is utilized for primary processing, and the output is aggregated and analyzed by Edge AI Station α.

Contact Us ▶